tau
Divergence times allowing for unequal population sizes (tau)
- file: matrix_tau.r
- document page: 31
code:
#----read data------------------------------------------------------------------
Data <- read.table("D:/Heidi/Master/R_Daten/SummaryStatistics/tau.txt", skip=5, fill=TRUE)
Columns <- ncol(Data)+1
Row <- nrow(Data)
x <- 6
n <- 2
#----read data line by line-----------------------------------------------------
tauMatrix <- as.matrix(scan("D:/Heidi/Master/R_Daten/SummaryStatistics/tau.txt",
what=double(0), skip=x, nlines=1, nmax=n))
tauMatrix <- cbind(t(tauMatrix), matrix(NA, ncol=(Columns-n), nrow=1))
tauMatrix <- tauMatrix[,2:Columns]
n <- n + 1
x <- x + 1
while(n<(Row+1)){
nextrow <- as.matrix(scan("D:/Heidi/Master/R_Daten/SummaryStatistics/tau.txt",
what=double(0), skip=x, nlines=1, nmax=n))
nextrow <- cbind(t(nextrow), matrix(NA, ncol=(Columns-n), nrow=1))
nextrow <- nextrow[,2:Columns]
tauMatrix <- rbind(tauMatrix, nextrow)
n <- n + 1
x <- x + 1
}
a <- ncol(tauMatrix)
b <- nrow(tauMatrix)
x <- c(1:a)
y <- c(1:b)
#----draw plot------------------------------------------------------------------
library(fields)
ColorRamp <- rgb( seq(1,0,length=256), # Red
seq(1,0,length=256), # Green
seq(1,1,length=256)) # Blue
#----Mirror matrix (left-right)----
mirror.matrix <- function(x) {
xx <- as.data.frame(x);
xx <- rev(xx);
xx <- as.matrix(xx);
xx;
}
#----Rotate matrix 270 clockworks----
rotate270.matrix <- function(x) {
mirror.matrix(t(x))
}
tauMatrix <- rotate270.matrix(tauMatrix)
#----draw matrix plot----
image.plot(x,y, tauMatrix, col=ColorRamp, main="Divergence times allowing for unequal
population sizes (tau)", xlab="Population", ylab="Population",
legend.args=list( text="tau", cex=1.0, side=4, line=2.2), axes = FALSE)
contour(tauMatrix, add = TRUE)
axis(1, at = c(1:a))
axis(2, at = c(1:b), labels=c(b:1))
box()
tau.txt · Last modified: 2008/07/22 13:31 by 127.0.0.1