[6d0c6b]: / heatmap_scripts / heatmap_visualizations.R

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library(gridGraphics)
library(grid)
library(gplots)
library(RColorBrewer)
grab_grob <- function(){
grid.echo()
grid.grab()
}
args <- commandArgs(trailingOnly = TRUE)
# print(args[1])
# print(args[2])
#########################################################
### reading in data and transform it to matrix format
#########################################################
data <- read.csv(args[1], comment.char="#")
rnames <- data[,1] # assign labels in column 1 to "rnames"
mat_data1 <- data.matrix(data[,2:ncol(data)]) # transform column 2-5 into a matrix
rownames(mat_data1) <- rnames
data <- read.csv(args[1], comment.char="#")
rnames <- data[,1] # assign labels in column 1 to "rnames"
mat_data2 <- data.matrix(data[,2:ncol(data)]) # transform column 2-5 into a matrix
rownames(mat_data2) <- rnames
data <- read.csv(args[1], comment.char="#")
rnames <- data[,1] # assign labels in column 1 to "rnames"
mat_data3 <- data.matrix(data[,2:ncol(data)]) # transform column 2-5 into a matrix
rownames(mat_data3) <- rnames
data <- read.csv(args[1], comment.char="#")
rnames <- data[,1] # assign labels in column 1 to "rnames"
mat_data4 <- data.matrix(data[,2:ncol(data)]) # transform column 2-5 into a matrix
rownames(mat_data4) <- rnames
arr <- list(mat_data1,mat_data2,mat_data3,mat_data4)
png(file = args[2], units="in", width=11, height=8.5, res=300)
color_map <- colorRampPalette(c("white","red"))(n = 39)
# colors = c(seq(0,0.05,length=20),seq(0.501,1,length=20)) #TODO change for certain graphs
colors=NULL
attach(mtcars)
par(mfrow=c(1,2))
heatmap.2(t(mat_data1),
# cellnote = t(mat_data),
Rowv=NULL,
Colv="NA",
srtCol=0,
labRow = "",
col = color_map,
breaks = colors,
scale="none",
margins=c(3,0), # ("margin.Y", "margin.X")
trace='none',
symkey=FALSE,
symbreaks=FALSE,
dendrogram='none',
offsetCol = offset,
cexCol=0.9,
# dendrogram='none',
density.info='histogram',
denscol="black",
keysize=1,
#( "bottom.margin", "left.margin", "top.margin", "left.margin" )
key.par=list(mar=c(3.5,0,3,0)),
# lmat -- added 2 lattice sections (5 and 6) for padding
lmat=rbind(c(5, 4, 2), c(6, 1, 3)), lhei=c(2.5, 5), lwid=c(1, 10, 1)
)
heatmap.2(t(mat_data2),
# cellnote = t(mat_data),
Rowv=NULL,
Colv="NA",
srtCol=0,
labRow = "",
col = color_map,
breaks = colors,
scale="none",
margins=c(3,0), # ("margin.Y", "margin.X")
trace='none',
symkey=FALSE,
symbreaks=FALSE,
dendrogram='none',
offsetCol = offset,
cexCol=0.9,
# dendrogram='none',
density.info='histogram',
denscol="black",
keysize=1,
#( "bottom.margin", "left.margin", "top.margin", "left.margin" )
key.par=list(mar=c(3.5,0,3,0)),
# lmat -- added 2 lattice sections (5 and 6) for padding
lmat=rbind(c(5, 4, 2), c(6, 1, 3)), lhei=c(2.5, 5), lwid=c(1, 10, 1)
)