diff --git a/analysis/quantif_20131105/.Rhistory b/analysis/quantif_20131105/.Rhistory new file mode 100644 index 0000000..c418161 --- /dev/null +++ b/analysis/quantif_20131105/.Rhistory @@ -0,0 +1,2199 @@ +m$yloca.norm <- round(m$y.loca/max(data$y.loca),digits=1) +m$xloca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$yloca.norm <- round(m$y.loca/max(data$y.loca),digits=1) +m <- data# +m$xloca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$yloca.norm <- round(m$y.loca/max(data$y.loca),digits=1) +m$xy <- interaction(m$xloca.norm,m$yloca.norm,drop=TRUE,sep=":")# +#m$freq <- rep(1,length(data$z.loca))# +ids <- c("xloca.norm","yloca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +ed(m)# +m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +m <- data# +m$xloca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$yloca.norm <- round(m$y.loca/max(data$y.loca),digits=1)# +m$xy <- interaction(m$xloca.norm,m$yloca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("xloca.norm","yloca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +ed(m)# +m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +m <- data# +m$xloca.norm <- round(data$xloca/max(data$xloca),digits=1)# +m$yloca.norm <- round(m$yloca/max(data$yloca),digits=1)# +m$xy <- interaction(m$xloca.norm,m$yloca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("xloca.norm","yloca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +data$xloca +data +data$xloca +data$yloca +data$zloca +colnames(data) +rm(data) +ls() +rm(list=ls()) +ls() +data <- read.delim("/Users/ackman/Desktop/120703_01_STATS-Centroids.txt",sep=" ") +nrow(data) +data$xloca +data +colnames(data) +data$x.loca +length(data$x.loca) +length(data$y.loca) +length(data$z.loca) +data$x.loca/max(data$x.loca) +length(data$x.loca) +is.numeric(data$x.loca) +max(data$x.loca) +rm(data) +data <- read.delim(pipe("pbpaste")) +colnames(data) +nrow(data) +max(data$x.loca) +data$x.loca +length(data$x.loca) +mean(data$x.loca) +is.vector(data$x.loca) +is.numeric(data$x.loca) +quit() +require(reshape) +data <- read.delim(pipe("pbpaste")) +data +with(data,mean(x.loca)) +with(data,is.numeric(x.loca)) +help(is.numeric) +with(data,is.double(x.loca)) +data <- read.delim(pipe("pbpaste")) +with(data,max(x.loca)) +with(data,is.double(x.loca)) +with(data,length(x.loca)) +with(data,mean(x.loca)) +with(data,is.double(x.loca)) +with(data,lenght(x.loca)) +with(data,length(x.loca)) +data +rm(data) +data <- read.delim(pipe("pbpaste"),sep=" ") +with(data,length(x.loca)) +with(data,max(x.loca)) +with(data,mean(x.loca)) +require(reshape)# +# +#-----------R code for normalized frequency contour plot-------------# +quartz();# +m <- data# +m$x.loca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$y.loca.norm <- round(m$y.loca/max(data$y.loca),digits=1)# +m$xy <- interaction(m$x.loca.norm,m$y.loca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("x.loca.norm","y.loca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +m <- data# +m$x.loca.norm <- round(data$x.loca/max(data$x.loca),digits=2)# +m$y.loca.norm <- round(m$y.loca/max(data$y.loca),digits=2)# +m$xy <- interaction(m$x.loca.norm,m$y.loca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("x.loca.norm","y.loca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +max(m$freq) +max(m$x.loca) +max(m$x.loca.norm) +mean(m$x.loca) +mean(m$x.loca.norm) +colnames(d4) +colnames(m) +m$x.loca.norm +m <- data# +m$x.loca.norm <- round(data$x.loca/max(data$x.loca),digits=3)# +m$y.loca.norm <- round(m$y.loca/max(data$y.loca),digits=3)# +m$xy <- interaction(m$x.loca.norm,m$y.loca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("x.loca.norm","y.loca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +#m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.001)# +y1 <- seq(0,1.0,by=0.001)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +matchidx +x1 +m$x.loca.norm +x1 +m$x.loca.norm +m <- data# +m$x.loca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$y.loca.norm <- round(m$y.loca/max(data$y.loca),digits=1)# +m$xy <- interaction(m$x.loca.norm,m$y.loca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("x.loca.norm","y.loca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +m <- data# +m$x.loca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$y.loca.norm <- round(m$y.loca/max(data$y.loca),digits=1)# +m$xy <- interaction(m$x.loca.norm,m$y.loca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("x.loca.norm","y.loca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +#m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb"),asp=1) +m <- data# +m$x.loca.norm <- round(data$x.loca/max(data$x.loca),digits=1)# +m$y.loca.norm <- round(m$y.loca/max(data$y.loca),digits=1)# +m$xy <- interaction(m$x.loca.norm,m$y.loca.norm,drop=TRUE,sep=":")# +m$freq <- rep(1,length(data$z.loca))# +ids <- c("x.loca.norm","y.loca.norm","xy")# +meas <- c("freq")# +m <- as.data.frame(m)# +d3 <- with(m,melt(m,id.var=ids,measure.var=meas))# +d4 <- cast(d3,fun.aggregate=sum)# +m <- d4# +#ed(m)# +#m$freq <- m$freq/max(m$freq)# +# +#make continous frame for a matrix for inputs to contour# +x1 <- seq(0,1.0,by=0.1)# +y1 <- seq(0,1.0,by=0.1)# +df <- expand.grid(x=x1,y=y1)# +df$xy <- interaction(df$x,df$y,drop=TRUE,sep=":")# +matchidx <- match(df$xy,m$xy)# +tmp <- m$freq[matchidx]# +tmp[which(is.na(tmp))] <- 0# +df$z <- tmp# +tmp <- data.frame(x=df$x,y=df$y,z=df$z)# +mat <- matrix(tmp$z,nrow=sqrt(nrow(tmp)))# +#filled.contour(mat,color=terrain.colors)# +filled.contour(mat,color=colorRampPalette(c("blue", "white", "red"), space = "rgb")) +max(data$x.loca) +max(data$y.loca) +help(matrix) +tmp <– matrix(data = rep(0,512*696), nrow = 512, ncol = 696) +tmp <– matrix(nrow = 512, ncol = 696) +rm(tmp) +tmp <– matrix(nrow = 512, ncol = 696) +tmp<–matrix(nrow = 512, ncol = 696) +help(matrix) +tmp<–matrix(data = 0,nrow = 512, ncol = 696) +matrix(data = 0,nrow = 512, ncol = 696) +mat <- matrix(data = 0,nrow = 512, ncol = 696) +tmp +tmp <- matrix(data = 0,nrow = 512, ncol = 696) +rm(tmp) +dim(mat) +image(tmp) +image(mat) +rm(mat) +rm(tmp) +rm(mat) +m <- data# +m$x.loca.norm <- round(data$x.loca)# +m$y.loca.norm <- round(data$y.loca)# +tmp <– matrix(data = 0, nrow = 512, ncol = 696)# +# +for(i in length(m$x.loca.norm)) {# +tmp[m$y.loca.norm(i),m$x.loca.norm(i)] <- tmp[m$y.loca.norm(i),m$x.loca.norm(i)] + 1# +} +tmp <– matrix(data = 0, nrow = 512, ncol = 696) +matrix(data = 0, nrow = 512, ncol = 696) +tmp = matrix(data = 0, nrow = 512, ncol = 696) +for(i in length(m$x.loca.norm)) {# +tmp[m$y.loca.norm(i),m$x.loca.norm(i)] <- tmp[m$y.loca.norm(i),m$x.loca.norm(i)] + 1# +} +for (i in 1:length(m$x.loca.norm)) {# +tmp[m$y.loca.norm(i),m$x.loca.norm(i)] <- tmp[m$y.loca.norm(i),m$x.loca.norm(i)] + 1# +} +1:length(m$x.loca.norm)) +1:length(m$x.loca.norm) +for (i in 1:length(m$x.loca.norm)) {# +#tmp[m$y.loca.norm(i),m$x.loca.norm(i)] <- tmp[m$y.loca.norm(i),m$x.loca.norm(i)] + 1# +tmp[m$y.loca.norm(i),m$x.loca.norm(i)] <- 1# +} +for (i in 1:length(m$x.loca.norm)) {# +tmp[m$y.loca.norm[i],m$x.loca.norm[i]] <- tmp[m$y.loca.norm[i],m$x.loca.norm[i]] + 1# +} +image(tmp) +help(image) +heatmap(tmp) +quit() +NA <- 0.5 +NA <- 0.5 +numapp <- 0.5 +ls <- 200 +lambda <- 925 +n <- 1.33 +((2*pi*(numapp^2))/(lambda*n*ls))*(z^2)*exp(-2*z/ls) +z <- 1760 +((2*pi*(numapp^2))/(lambda*n*ls))*(z^2)*exp(-2*z/ls) +quit() +help(igraph) +require(igraph) +library(help="igraph") +help(walktrap.community) +g <- erdos.renyi.game(10, 5/10) %du% erdos.renyi.game(9, 5/9) +g <- add.edges(g, c(0, 11)) +g <- subgraph(g, subcomponent(g, 0)) +spinglass.community(g, spins=2) +spinglass.community(g, vertex=0) +g +(19*18)/2 +40/171 +g <- graph.full(5) %du% graph.full(5) %du% graph.full(5)# +g <- add.edges(g, c(0,5, 0,10, 5, 10))# +wtc <- walktrap.community(g)# +memb <- community.to.membership(g, wtc$merges, steps=12)# +modularity(g, memb$membership) +quit() +demo() +demo(image) +demo(graphics) +quartz() +x <- rand(1,100) +x <- randn(1,100) +x <- rnorm(1,100) +x +help(rnorm) +x <- rnorm(100) +x +y <- rnorm(100) +plot(x,y) +par <- opar +plot(x,y) +par <- opar +x <- rnorm(100) +y <- rnorm(100) +plot(x,y) +quit() +help("Deprecated") +help(find.package) +quit() +quit(0 +) +quit() +data <- read.delim("landdata_states.txt") +head(data) +tail(data) +require(ggplot2)# +require(reshape) +require(reshape2) +df <- subset(data,STATE=="CT"|STATE=="VT"|STATE=="NH"|STATE=="KY") +p <- ggplot(df, aes(x=Date,y=Land.Value,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) + scale_shape_manual(value = c(15, 16)) + theme_bw() + opts(aspect.ratio=1) + scale_colour_brewer(palette="Set1") #+ opts(axis.text.x=theme_text(angle=-90, hjust=0)) +p <- ggplot(df, aes(x=Date,y=Land.Value,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) +is.factor(df$Date) +is.date(df$Date) +data <- read.delim("landdata_states.txt") +is.factor(df$Date) +df <- subset(data,STATE=="CT"|STATE=="VT"|STATE=="NH"|STATE=="KY") +is.factor(df$Date) +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) + scale_shape_manual(value = c(15, 16)) + theme_bw() +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) +is.factor(df$Land.Value.usd) +head(df) +is.factor(df$Date) +is.factor(df$Home.Value.usd) +as.numeric(df$Home.Value.usd) +as.vector(df$Home.Value.usd) +help(as) +as.integer(df$Home.Value.usd) +data <- read.delim("landdata_states.txt") +df <- subset(data,STATE=="CT"|STATE=="VT"|STATE=="NH"|STATE=="KY") +is.factor(df$Date) +is.factor(df$Home.Value.usd) +as.integer(df$Home.Value.usd) +is.integer(df$Home.Value.usd) +is.numeric(df$Home.Value.usd) +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) +is.numeric(df$Land.Value.usd) +is.factor(df$Land.Value.usd) +tail(df) +as.integer(df$Land.Value.usd) +as.integer(data$Land.Value.usd) +tail(data) +levels(df$Land.Value.usd) +df$Land.Value.usd +levels(df$Land.Value.usd) +df$Land.Value.usd +tail(df) +df$Land.Value.usd <- as.numeric(level(df$Land.Value.usd)) +df$Land.Value.usd <- as.numeric(levels(df$Land.Value.usd)) +tail(df) +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) +is.factor(df$Land.Value.usd) +as.character(df$Land.Value.usd) +as.numeric(as.character(df$Land.Value.usd)) +is.factor(as.numeric(as.character(df$Land.Value.usd))) +is.vector(as.numeric(as.character(df$Land.Value.usd))) +df <- subset(data,STATE=="CT"|STATE=="VT"|STATE=="NH"|STATE=="KY")# +df$Land.Value.usd <- as.numeric(as.character(df$Land.Value.usd)) +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) +data <- read.delim("landdata_states.txt") #first removed the " $ % , symbols from the dataset and changed headers +df <- subset(data,STATE=="CT"|STATE=="VT"|STATE=="NH"|STATE=="KY") +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_point(aes(color=STATE,shape=STATE)) + geom_line(aes(color=STATE)) +p <- ggplot(df, aes(x=Date,y=Land.Value.usd,group=STATE)) # +p + geom_line(aes(color=STATE)) +p + geom_line(aes(color=STATE)) + theme_bw() + opts(aspect.ratio=1) + scale_colour_brewer(palette="Set1") +ggsave(file="geomline_landvalue-time-STATE.pdf") +p <- ggplot(df, aes(x=Date,y=Land.Share.frac*100,group=STATE)) # +p + geom_line(aes(color=STATE)) + theme_bw() + opts(aspect.ratio=1) + scale_colour_brewer(palette="Set1") +ggsave(file="geomline_landshare-time-STATE.pdf") +summary(cars) +plot(cars) +library(devtools) +require(googleVis) +cars +asis +install.packages('googleVis') +require(googleVis) +demo(googleVis) +fruits +help(gvisMotionChart) +M1 +Fruits +Volcano +volcano +quit(_ +quit() +actvFraction <- c(0.2838, 0.31114, 0.14775, 0.058811, 0.104, 0.079014, 0.015483) +motorState <- c("quiet","quiet","quiet","active","active","active","active") +df <- data.frame(actvFraction, motorState) +df +summary(df) +help(summary) +table(df) +lm.df <- with(df, lm(actvFraction ~ motorState)) +summary(lm.df) +sum(df$actvFraction) +is.factor(df$motorState) +help(sum) +help(pylr) +help.start(0 +help.start(0) +help.start() +require(plyr) +dfx <- data.frame(# + group = c(rep('A', 8), rep('B', 15), rep('C', 6)),# + sex = sample(c("M", "F"), size = 29, replace = TRUE),# + age = runif(n = 29, min = 18, max = 54)# +) +dfx +ddply(dfx, .(group, sex), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2)) +ddply(dfx, .(group, sex), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2), len = length(age)) +help(summarize) +ddply(dfx, (group, sex), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2), len = length(age)) +ddply(dfx, .(group, sex), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2)) +ddply(dfx, c("group", "sex"), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2)) +ddply(dfx, c("group", "sex"), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2), N = length(age)) +dfx +sd(1) +sd(c(1,2)) +help(sd) +ddply(dfx, c("group", "sex"), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2), N = length(age), se = sd/sqrt(N)) +ddply(dfx, c("group", "sex"), summarize,# + mean = round(mean(age), 2),# + sd = round(sd(age), 2), N = sum(!is.na(age)), se = sd/sqrt(N)) +help(summarize) +ddply(df, c("motorState"), summarize,# +sum = round(sum(actvFraction)),# +mean = round(mean(actvFraction), 2),# +sd = round(sd(actvFraction), 2), # +N = sum(!is.na(age)), # +se = sd/sqrt(N)) +ddply(df, c("motorState"), summarize,# +sum = round(sum(actvFraction)),# +mean = round(mean(actvFraction), 2),# +sd = round(sd(actvFraction), 2), # +N = sum(!is.na(actvFraction)), # +se = sd/sqrt(N)) +ddply(df, c("motorState"), summarize,# +sum = round(sum(actvFraction),2),# +mean = round(mean(actvFraction), 2),# +sd = round(sd(actvFraction), 2), # +N = sum(!is.na(actvFraction)), # +se = sd/sqrt(N)) +ddply(df, c("motorState"), summarize,# +sum = round(sum(actvFraction),2),# +mean = round(mean(actvFraction), 2),# +sd = round(sd(actvFraction), 2), # +N = length(actvFraction), # +se = sd/sqrt(N)) +help(aggregate) +with(df,aggregate(actvFraction,by=motorState,mean)) +with(df,aggregate(actvFraction ~ motorState,mean)) +aggregate(actvFraction ~ motorState,df,mean) +aggregate(actvFraction ~ motorState,df,sum) +myFormula <- (actvFraction ~ motorState)# +# + ddply(df, myFormula, summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction), 2),# + sd = round(sd(actvFraction), 2), # + N = length(actvFraction), # + se = sd/sqrt(N)) +ddply(df, ~ motorState, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(df, actvFraction ~ motorState, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +dfx +ddply(df, .(actvFraction ~ motorState), summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(df, actvFraction ~ motorState, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(df, ~ motorState, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, ~ group, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, sex ~ group, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, age ~ group, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, ~ group + age, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, ~ group + sez, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, ~ group + sex, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(dfx, ~ group + sex, summarize,# + sum = round(sum(age),2),# + N = length(age)) +ddply(dfx, sex ~ group, summarize,# + sum = round(sum(age),2),# + N = length(age)) +as.quoted(sex,group) +myFormula <- ~ group + sex +myFormula +ddply(dfx, myFormula, summarize,# + sum = round(sum(age),2),# + N = length(age)) +myFormula <- ~ motorState# + ddply(df, myFormula, summarize,# + sum = round(sum(actvFraction),2),# + N = length(actvFraction)) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction), 2),# + med = round(median(actvFraction),2),# + std = round(sd(actvFraction), 2), # + N = sum(!is.na(actvFraction), # + sem = std/sqrt(N),# + CI95 = qnorm(0.975)*sem,# + medSD = round(mad(actvFraction)),# + seMed<-1.25*sem) +) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction), 2),# + med = round(median(actvFraction),2),# + std = round(sd(actvFraction), 2), # + N = sum(!is.na(actvFraction), # + sem = std/sqrt(N),# + CI95 = qnorm(0.975)*sem,# + medSD = round(mad(actvFraction),2),# + seMed = 1.25*sem) +)) +help(mad) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction),2),# + med = round(median(actvFraction),2),# + std = round(sd(actvFraction),2), # + N = sum(!is.na(actvFraction), # + sem = std/sqrt(N)) +) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction), 2),# + sd = round(sd(actvFraction), 2), # + N = length(actvFraction), # + se = sd/sqrt(N)) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction), 2),# + sd = round(sd(actvFraction), 2), # + N = length(actvFraction), # + sem = sd/sqrt(N)) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction), 2),# + std = round(sd(actvFraction), 2), # + N = length(actvFraction), # + se = std/sqrt(N)) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction),2),# + med = round(median(actvFraction),2),# + std = round(sd(actvFraction),2), # + N = sum(!is.na(actvFraction)), # + sem = std/sqrt(N),# + CI95 = qnorm(0.975)*sem,# + medSD = round(mad(actvFraction),2),# + seMed = 1.25*sem) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction),2),# + std = round(sd(actvFraction),2), # + N = sum(!is.na(actvFraction)), # + sem = std/sqrt(N),# + CI95 = qnorm(0.975)*sem,# + median = round(median(actvFraction),2),# + medSD = round(mad(actvFraction),2),# + seMed = 1.25*sem) +all.vars(myFormula) +ddply(df, c("motorState"), summarize,# + sum = round(sum(actvFraction),2),# + mean = round(mean(actvFraction),2),# + std = round(sd(actvFraction),2), # + N = sum(!is.na(actvFraction)), # + sem = std/sqrt(N),# + CI95 = qnorm(0.975)*sem,# + median = round(median(actvFraction),2),# + medSD = round(mad(actvFraction),2),# + seMed = 1.25*sem) +help(t.test) +measVar = "actvFraction"# +groupVars = c("motorState") +myFormula <- as.formula(paste(measVar, paste(groupVars, collapse=" + "), sep=" ~ ")) +myFormula +t.test(myFormula,df) +help(t.test) +t.test(myFormula,df,alternative="less") +t.test(myFormula,df,alternative="greater") +printSummary <- function(data=NULL, measVar, groupVars=NULL, na.rm=FALSE,# + conf.interval=.95, .drop=TRUE) {# + require(plyr)# +# + #Handle NAs# + len <- function (x, na.rm=FALSE) {# + if (na.rm) sum(!is.na(x))# + else length(x)# + }# +# + #Main summary# + data2 <- ddply(data, groupVars, .drop=.drop,# + .fun = function(xx, col) {# + c(N = len(xx[[col]], na.rm=na.rm),# + mean = mean (xx[[col]], na.rm=na.rm),# + sd = sd (xx[[col]], na.rm=na.rm)# + )# + },# + measVar# + )# +# + #Standard error of the mean# + data2$se <- data2$sd / sqrt(data2$N)# +# + #Confidence interval of 95%# + data2$CI95 = qnorm(0.975)*se# +# + return(data2)# +} +printSummary(df, measVar,groupVars) +printSummary <- function(data=NULL, measVar, groupVars=NULL, na.rm=FALSE,# + conf.interval=.95, .drop=TRUE) {# + require(plyr)# +# + #Handle NAs# + len <- function (x, na.rm=FALSE) {# + if (na.rm) sum(!is.na(x))# + else length(x)# + }# +# + #Main summary# + data2 <- ddply(data, groupVars, .drop=.drop,# + .fun = function(xx, col) {# + c(N = len(xx[[col]], na.rm=na.rm),# + mean = mean (xx[[col]], na.rm=na.rm),# + sd = sd (xx[[col]], na.rm=na.rm)# + )# + },# + measVar# + )# +# + #Standard error of the mean# + data2$se <- data2$sd / sqrt(data2$N)# +# + #Confidence interval of 95%# + data2$CI95 = qnorm(0.975)*data2$se# +# + return(data2)# +} +printSummary(df, measVar,groupVars) +help(wilcox.test) +wilcox.test(myFormula,df) +printSummary <- function(data=NULL, measVar, groupVars=NULL, na.rm=FALSE,# + conf.interval=.95, .drop=TRUE) {# + require(plyr)# + #Handle NAs# + len <- function (x, na.rm=FALSE) {# + if (na.rm) sum(!is.na(x))# + else length(x)# + }# + #Main summary# + data2 <- ddply(data, groupVars, .drop=.drop,# + .fun = function(xx, col) {# + c(N = len(xx[[col]], na.rm=na.rm),# + sum = sum (xx[[col]], na.rm=na.rm),# + mean = mean (xx[[col]], na.rm=na.rm),# + sd = sd (xx[[col]], na.rm=na.rm)# + )# + },# + measVar# + )# + #Standard error of the mean# + data2$se <- data2$sd / sqrt(data2$N)# + #Confidence interval of 95%# + data2$CI95 = qnorm(0.975)*data2$se# + return(data2)# + } +printSummary(df, measVar,groupVars) +quit() +require(ggplot2) +mag <- c(5.0,2.5,2.0,1.0,0.6)# +umperpx <- c(2.270,4.525,5.850,11.350,19.178)# +data <- data.frame(mag,umperpx) +data +require(ggplot2)# +#The following shows that the relationship between objective magnification and pixel dimensions clearly follows a power equation relationship, a log-log relationship which follows the form y = bx^m# +qplot(log(mag),log(umperpx),data=data)# +qplot(mag,log(umperpx),data=data)# +qplot(mag,umperpx,data=data) +qplot(log(mag),log(umperpx),data=data) +qplot(mag,log(umperpx),data=data) +qplot(mag,umperpx,data=data) +qplot(mag,log(umperpx),data=data) +qplot(log(mag),log(umperpx),data=data) +lm.fit <- lm(umperpx ~ mag,data=data) +lm.fit <- lm(log(umperpx) ~ log(mag),data=data) +lm.fit +summary(lm.fit) +with(data, plot(mag, umperpx, log="xy"))# +lines(seq(0.5,5,by=0.5), exp(predict(lm.fit, data.frame(mag = seq(0.5,5,by=0.5))))) +with(data, plot(mag, umperpx))# +lines(seq(0.5,5,by=0.5), predict(lm.fit, data.frame(mag = seq(0.5,5,by=0.5)))) +x=seq(0.5,5,by=0.01)# +#plot(data,pch=22)# +b = exp(2.439593) #the intercept estimate was predicted based on the log-transformed data, this must be converted back to the normal space with natural exponent exp()# +m = -1.004096 +fitted.data <- data.frame(x = x, y = b*x^m) +ggplot(data, aes(x = mag, y = umperpx)) + geom_line(data = fitted.data, aes(x = x, y = y), colour = "red") + geom_point() + title(main = "y=11.46837*x^-1.004096") +quartz();# +p <- ggplot(data, aes(x = mag, y = umperpx))# +p + geom_line(data = fitted.data, aes(x = x, y = y), colour = "red") + geom_point() +p + geom_line(data = fitted.data, aes(x = x, y = y), colour = "red") + geom_point() + title(main = "y=11.46837*x^-1.004096") +help.start() +p + geom_line(data = fitted.data, aes(x = x, y = y), colour = "red") + geom_point() + ggtitle(main = "y=11.46837*x^-1.004096") +ggtitle("y=11.46837*x^-1.004096") +p + geom_line(data = fitted.data, aes(x = x, y = y), colour = "red") + geom_point() + ggtitle("y=11.46837*x^-1.004096") +x +cbind(x,y) +fitted.data +ggsave(file="obj-pixeldim-power-law-regression") +ggsave(file="obj-pixeldim-power-law-regression.pdf") +quit() +time <- c(0, 0.200, 1.2, 2.2, 5.6) +frame <- c(1,2,7,12,29) +marker <- c(0,0.001,1.207,2.212,5.628) +plot(time,frame) +help(diff) +marker - time +marker <- c(0,0.201,1.207,2.212,5.628) +marker - time +plot(time,marker) +plot(frame,time-marker) +plot(frame,marker-time) +data = data.frame(time,frame,marker) +lm.fit <- lm(marker-time ~ frame,data=data) +lm.fit +summary(lm.fit) +lm.fit +b = -0.0005725; m = 0.0009973; +b +m +(0.200 - b)/m +(0.200)/m +200*0.2 +time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004) +plot(frame,marker-time) +data = data.frame(time,frame,marker)# + lm.fit <- lm(marker-time ~ frame,data=data)# + lm.fit +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + lm.fit <- lm(marker-time ~ frame,data=data)# + coef(lm.fit) +coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + data = data.frame(time,frame,marker)# + lm.fit <- lm(marker-time ~ frame,data=data)# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +data <- data.frame(time,frame,marker)# + lm.fit <- lm(marker-time ~ frame,data=data)# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + data <- data.frame(time,frame,marker)# + lm.fit <- lm(marker-time ~ frame,data=data)# + lm.fit +coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + data <- data.frame(time,frame,marker)# + data$diff <- marker-time# + lm.fit <- lm(diff ~ frame,data=data)# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +quartz() +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(frame,marker-time) +plot(time,marker-time) +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time +21*0.2 +21*5 +20.2*5 +time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + marker - time +time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + marker - time# + df <- data.frame(time,frame,marker)# + lm.fit <- lm(marker-time ~ frame,data=df)# + lm.fit# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +quartz();# + frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(time,marker-time)# + df <- data.frame(time,frame,marker)# + data$diff <- marker-time# + lm.fit <- lm(diff ~ frame,data=df)# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +quartz();# + frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(time,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lm.fit <- lm(diff ~ frame,data=df)# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(time,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + x <- coef(lmfit)["frame"] # + (0.200-b)/m +quartz();# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + marker - time# + plot(frame, marker-time)# + df <- data.frame(time,frame,marker)# + lm.fit <- lm(marker-time ~ frame,data=df)# + lm.fit# + coef(lm.fit) # + b = coef(lm.fit)["(Intercept)"] # + x = coef(lm.fit)["frame"] # + (0.200-b)/m +quartz();# + frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + x <- coef(lmfit)["frame"] # + (0.200-b)/m +rm(lm.fit) +rm(lmfit) +time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + marker - time# + plot(frame, marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lm.fit <- lm(diff ~ frame,data=df)# + lm.fit# + coef(lm.fit) # + b <- coef(lm.fit)["(Intercept)"] # + x <- coef(lm.fit)["frame"] # + (0.200-b)/m +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + x <- coef(lmfit)["frame"] # + (0.200-b)/m +df +time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + marker - time# + plot(frame, marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time +df +(0.200-b)/m +b +m +(0.200)/m +b +is.numeric(b) +quartz();# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + frame <- c(1,2,6,26,101)# + marker <- c(0.0005,0.2015,1.0055,5.0255,20.1004)# + marker - time# + plot(frame, marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lm.fit <- lm(diff ~ frame,data=df)# + lm.fit# + coef(lm.fit) # + b <- coef(lm.fit)["(Intercept)"] # + m <- coef(lm.fit)["frame"] # + (0.200-b)/m +quartz();# + frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200-b)/m +10000/200 +coef(lmfit) +1/600 +1/6100 +1/100 +1/30 +1/60 +1/300 +1/600 +quartz();# + frame <- c(1,2,6,26,101)# + time <- c(0.0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.0,0.2012,1.0016,5.0034,20.0102)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200-b)/m +frame <- c(2,6,26,101)# + time <- c(0.200, 1.0, 5.0, 20.0)# + marker <- c(0.2012,1.0016,5.0034,20.0102)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200)/m +(0.2-b)/m +1100*0.2 +quartz();# + frame <- c(2,6,26,101)# + time <- c(0.200, 1.0, 5.0, 20.0)# + marker <- c(0.2012,1.0016,5.0034,20.0102)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200-b)/m +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200-b)/m +m*3000 + b +m*3000 +b +m +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.00002,0.20004,1.00012,5.00052,20.00202)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200-b)/m +m +m*3000 +m*5000 +m*3000 + b +frame <- c(1,2,6,26,101)# + time <- c(0, 0.200, 1.0, 5.0, 20.0)# + marker <- c(0.0,0.200,0.999960,4.9998,19.999240)# + marker-time# + plot(frame,marker-time)# + df <- data.frame(time,frame,marker)# + df$diff <- marker-time# + lmfit <- lm(diff ~ frame,data=df)# + coef(lmfit) # + b <- coef(lmfit)["(Intercept)"] # + m <- coef(lmfit)["frame"] # + (0.200-b)/m +m*3000 + b +quit(); +help(pearson) +??pearson +help(cor) +quit() +edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +edgelist +require(pylr)# +df <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue = mean(rvalue),# +sd = sd(rvalue), # +N = length(rvalue), # +se = sd/sqrt(N)) +require(plyr)# +df <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue = mean(rvalue),# +sd = sd(rvalue), # +N = length(rvalue), # +se = sd/sqrt(N)) +df +df <- ddply(edgelist, c("node1","node2"), summarize,# +rvalueMean = mean(rvalue),# +sd = sd(rvalue), # +N = length(rvalue), # +se = sd/sqrt(N)) +df +df <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = sd/sqrt(N)) +df <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N)) +df +colnames(df) +colnames(df)['rvalue.mean'] +colnames(df) == 'rvalue.mean' +colnames(df)[['rvalue.mean']] +colnames(df) +colnames(df) == 'rvalue.mean' +colnames(df)[colnames(df) == 'rvalue.mean'] +colnames(df)[colnames(df) == 'rvalue.mean'] <- 'rvalue' +colname(df) +colnames(df) +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(df,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +load(plyr) +help(require) +library(plyr) +library(igraph)# +library(RColorBrewer) +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(df,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +rthresh <- 0.2# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(df,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt' +) +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt') +df <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(df)[colnames(df) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.2# +fnm <- '120518'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(df,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +rthresh <- 0.1# +fnm <- '120518'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(df,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +summary(g) +print(g) +print(fastGreeyCom) +print(fastGreedyCom) +print(fastgreedyCom) +degree(g)# +degree.distribution(g)# +degree.distribution(g,cumulative = TRUE) +average.path.length(g) +library(ggplot2) +df <- data.frame(degree(g))# +colnames(df) <- c("degree")# +p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()# +p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1) #raw counts# +ggsave(file=paste("120518_07-degreeDist", format(Sys.time(),"%y%m%d-%H%M%S"), ".pdf",sep="")) +g <- barabasi.game(1000) # increase this number to have a better estimate# +d <- degree(g, mode="in")# +fit1 <- power.law.fit(d+1, 10)# +fit2 <- power.law.fit(d+1, 10, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +g +d +df <- data.frame(degree(g))# +colnames(df) <- c("degree")# +p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()# +p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1) #raw counts +This should approximately yield the correct exponent 3# +g <- barabasi.game(1000) # increase this number to have a better estimate# +d <- degree(g, mode="in")# +fit1 <- power.law.fit(d+1, 10)# +fit2 <- power.law.fit(d+1, 10, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2)# +# +df <- data.frame(degree(g))# +colnames(df) <- c("degree")# +p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()# +p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1) #raw counts# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +title("barabasi.game(1000), powerlaw")# +quartz.save(file=paste(dateStr, "-degreeDist-", "barabasiGame-powerlaw", ".pdf",sep=""), type = "pdf") +ggsave(file=paste(dateStr, "-degreeDist-", "barabasiGame-powerlaw", ".pdf",sep="")) +This should approximately yield the correct exponent 3# +g <- barabasi.game(33) # increase this number to have a better estimate# +d <- degree(g, mode="in")# +fit1 <- power.law.fit(d+1, 10)# +fit2 <- power.law.fit(d+1, 10, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2)# +# +df <- data.frame(degree(g))# +colnames(df) <- c("degree")# +p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()# +p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1) #raw counts# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +title("barabasi.game(33), powerlaw")# +ggsave(file=paste(dateStr, "-degreeDist-", "barabasiGame-powerlaw", ".pdf",sep="")) +fit1 +fit2 +d +This should approximately yield the correct exponent 3# +g <- barabasi.game(1000) # increase this number to have a better estimate# +d <- degree(g, mode="in")# +fit1 <- power.law.fit(d+1, 10)# +fit2 <- power.law.fit(d+1, 10, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +fit2 +fit2 +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +print(fastgreedyCom)# +degree(g)# +degree.distribution(g)# +degree.distribution(g,cumulative = TRUE)# +average.path.length(g) # +diameter(g) +centrality(g) +hub.score(g) +hub.score(g)$vector +------Histogram of degree distribution-------------------------------------------------------------# +df <- data.frame(degree(g))# +colnames(df) <- c("degree")# +p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()# +p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1) #raw counts# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +ggsave(file=paste(dateStr, "-degreeDist-", fnm, ".pdf",sep="")) +edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +print(fastgreedyCom)# +degree(g)# +degree.distribution(g)# +degree.distribution(g,cumulative = TRUE)# +average.path.length(g) # +diameter(g)# +hub.score(g)$vector +hub.score(g) +------Histogram of degree distribution-------------------------------------------------------------# +df <- data.frame(degree(g))# +colnames(df) <- c("degree")# +p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()# +p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1) #raw counts# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +ggsave(file=paste(dateStr, "-degreeDist-", fnm, ".pdf",sep="")) +help(degree) +g <- graph.ring(10)# +degree(g)# +g2 <- erdos.renyi.game(1000, 10/1000)# +degree.distribution(g2) +plot(degree.distribution(g2)) +plot(degree.distribution(g2)) +quartz;plot(degree.distribution(g2)) +quartz; plot(degree.distribution(g2)) +edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +quartz() +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +print(fastgreedyCom)# +degree(g)# +degree.distribution(g)# +degree.distribution(g,cumulative = TRUE)# +average.path.length(g) # +diameter(g)# +hub.score(g)$vector +mean(degree(g)) +d <- degree(g)# +fit1 <- power.law.fit(d+1, 10)# +fit2 <- power.law.fit(d+1, 10, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +fit2 +hist(degree(g)) +help(power.law.fit) +d <- degree(g)# +fit1 <- power.law.fit(d+1)# +fit2 <- power.law.fit(d+1, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d)# +fit2 <- power.law.fit(d, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d +d <- degree(g)# +fit1 <- power.law.fit(d,2)# +fit2 <- power.law.fit(d,2, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,3)# +fit2 <- power.law.fit(d,3, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,4)# +fit2 <- power.law.fit(d,4, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,5)# +fit2 <- power.law.fit(d,5, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,8)# +fit2 <- power.law.fit(d,8, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,7)# +fit2 <- power.law.fit(d,7, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,6)# +fit2 <- power.law.fit(d,6, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d) +fit1$alpha +fit1$xmin +fit1 +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +print(fastgreedyCom)# +degree(g)# +degree.distribution(g)# +degree.distribution(g,cumulative = TRUE)# +average.path.length(g) # +diameter(g)# +hub.score(g)$vector +mean(degree(g)) +d <- degree(g)# +fit1 <- power.law.fit(d) +fit1 +d <- degree(g)# +fit1 <- power.law.fit(d,7)# +fit2 <- power.law.fit(d,7, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +d <- degree(g)# +fit1 <- power.law.fit(d,3)# +fit2 <- power.law.fit(d,3, implementation="R.mle")# +# +fit1$alpha# +coef(fit2)# +fit1$logLik# +logLik(fit2) +edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +quartz() +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.1# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +rthresh <- 0.15# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.15# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +rthresh <- 0.15# +fnm <- 'younger'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.15# +fnm <- 'P8'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +help(for) +help() +rthresh <- 0.2# +fnm <- '131208_01'# +fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +d3 <- subset(edgelist,filename==fnm2)# +d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d4,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +# quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +for(i in c('131208_01','131208_03','131208_04','131208_05')) {# +for(j in c(0.1,0.15,0.2)) {# +rthresh <- j# +fnm <- '131208_03'# +fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +d3 <- subset(edgelist,filename==fnm2)# +d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d4,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +# quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf")# +}# +} +for(j in c(0.1,0.15,0.2)) {# +for(i in c('131208_01','131208_03','131208_04','131208_05')) {# +rthresh <- j# +fnm <- i# +fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +d3 <- subset(edgelist,filename==fnm2)# +d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d4,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +# quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +# quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf")# +}# +} +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.15# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt') +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.15# +fnm <- '131208'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +d2 <- ddply(edgelist, c("node1","node2"), summarize,# +rvalue.mean = mean(rvalue),# +rvalue.sd = sd(rvalue), # +N = length(rvalue), # +rvalue.sem = rvalue.sd/sqrt(N))# +colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue'# +# +rthresh <- 0.15# +fnm <- '120518'# +# fnm2 <- paste(fnm,".tif",sep="")# +lo <- 'layout.fruchterman.reingold'# +# lo <- 'layout.kamada.kawai'# +# lo <- 'layout.lgl'# +# d3 <- subset(edgelist,filename==fnm2)# +# d4 <- with(d3,data.frame(node1,node2,rvalue))# +edgelist2<-subset(d2,rvalue > rthresh)# +g <- graph.data.frame(edgelist2, directed=FALSE)# +E(g)$weight <- E(g)$rvalue# +E(g)$width <- 1# +E(g)[ weight >= 0.3 ]$width <- 3# +E(g)[ weight >= 0.5 ]$width <- 5# +fastgreedyCom<-fastgreedy.community(g,weights=E(g)$weight)# +V(g)$color <- fastgreedyCom$membership# +quartz();# +# palette(rainbow(max(V(g)$color),alpha=0.5))# +mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6)# +palette(mypalette)# +plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black")# +# palette("default")# +title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh))# +dateStr=format(Sys.time(),"%y%m%d-%H%M%S")# +quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150)# +quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +quit() diff --git a/analysis/quantif_20131105/140118-141400-131208_03.pdf b/analysis/quantif_20131105/140118-141400-131208_03.pdf new file mode 100644 index 0000000..d15227d Binary 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index 0000000..37be86f Binary files /dev/null and b/analysis/quantif_20131105/140129-115809-131208.png differ diff --git a/analysis/quantif_20131105/2013-11-05_wholeBrain_graphTest.R b/analysis/quantif_20131105/2013-11-05_wholeBrain_graphTest.R index e974dfa..cf6b16f 100644 --- a/analysis/quantif_20131105/2013-11-05_wholeBrain_graphTest.R +++ b/analysis/quantif_20131105/2013-11-05_wholeBrain_graphTest.R @@ -140,9 +140,13 @@ quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") edgelist<-read.delim('/Users/ackman/Data/2photon/131208/2014-01-07-003602/dCorr.txt') +edgelist<-read.delim('/Users/ackman/Data/2photon/120518i/2014-01-03-231550/dCorr.txt') -rthresh <- 0.2 -fnm <- '131208_09' +for(j in c(0.1,0.15,0.2)) { +for(i in c('131208_01','131208_03','131208_04','131208_05')) { +# for(i in c('120518_06','120518_07','120518_08','120518_09')) { +rthresh <- j +fnm <- i fnm2 <- paste(fnm,".tif",sep="") lo <- 'layout.fruchterman.reingold' # lo <- 'layout.kamada.kawai' @@ -161,14 +165,14 @@ V(g)$color <- fastgreedyCom$membership # palette(rainbow(max(V(g)$color),alpha=0.5)) mypalette <- adjustcolor(brewer.pal(max(V(g)$color),"Set1"),0.6) palette(mypalette) -plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black") -# palette("default") -title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh)) -dateStr=format(Sys.time(),"%y%m%d-%H%M%S") -quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150) -quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") - - +# plot(g, layout=eval(parse(text=lo)), edge.width=E(g)$width, edge.color="black", vertex.label.color="black") +# title(paste(fnm,', fastgreedy default, ', lo, 'r>', rthresh)) +# dateStr=format(Sys.time(),"%y%m%d-%H%M%S") +# # quartz.save(file=paste(dateStr, "-", fnm, ".png",sep=""), type = "png", dpi=150) +# quartz.save(file=paste(dateStr, "-", fnm, ".pdf",sep=""), type = "pdf") +print(transitivity(g)) +} +} # 2014-01-14 14:59:18 Make mean summary graphs for P3 and P8 @@ -188,7 +192,7 @@ rvalue.sem = rvalue.sd/sqrt(N)) colnames(d2)[colnames(d2) == 'rvalue.mean'] <- 'rvalue' rthresh <- 0.15 -fnm <- 'P8' +fnm <- '131208' # fnm2 <- paste(fnm,".tif",sep="") lo <- 'layout.fruchterman.reingold' # lo <- 'layout.kamada.kawai' @@ -223,6 +227,12 @@ average.path.length(g) diameter(g) hub.score(g)$vector mean(degree(g)) +transitivity(g) +centralization.degree(g) +is.connected(g) +no.clusters(g) +clusters(g) + #------Histogram of degree distribution------------------------------------------------------------- df <- data.frame(degree(g)) diff --git a/figure4.png b/figure4.png index fab808f..bbaa558 100644 Binary files a/figure4.png and b/figure4.png differ