Make sure your data is a matrix. There are many examples of expression heatmaps
available on the bioconductor list. After checking out these examples, I would
post to the bioconductor list if you are still having problems. Also
consider a small
example to get you a working heatpmap. You have to install two
bioconductor packages for this by using:
source("http://bioconductor.org/biocLite.R";)
biocLite(c("ALL","genefilter"))
This will also install other bioconductor packages that are needed.
#Then try:
library(ALL)
library(genefilter)
data(ALL)
# just creating create data
bcell <- grep("^B", as.character(ALL$BT))
types <- c("NEG", "BCR/ABL")
mysub <- which(as.character(ALL$mol.biol) %in% types)
bc <- ALL[, intersect(bcell, mysub)]
bc$BT <- factor(bc$BT)
bc$mol.biol <- factor(bc$mol.biol)
filter_bc <- nsFilter(bc,var.cutoff=0.9)
myfilt <- filter_bc$eset
e <- exprs(myfilt)
# end of data creation
dim(e)
#[1] 880 79
class(e)
# [1] "matrix"
heatmap(e)
On Wed, Jan 5, 2011 at 4:33 PM, lraeb...@sfu.ca <lraeb...@sfu.ca> wrote:
>
> Hello,
> I am trying to make a heatmap in R and am having some trouble. I am very new
> to the world of R, but have been told that what I am trying to do should be
> possible. I want to make a heat map that looks like a gene expression
> heatmap (see http://en.wikipedia.org/wiki/Heat_map).
>
> I have 43 samples and 900 genes (yes I know this will be a huge map). I also
> have copy numbers associated with each gene/sample and need these to be
> represented as the colour intensities on the heat map. There are multiple
> genes per sample with different copy numbers. I think my trouble may be how
> I am setting up my data frame.
>
> My data frame was created in excel as a tab deliminated text file:
>
> Gene Copy Number Sample ID
> A 1935 01
> B 2057 01
> C 2184 02
> D 1498 03
> E 2294 03
> F 2485 03
> G 1560 04
> H 3759 04
> I 2792 05
> J 7081 05
> K 1922 06
> . . .
> . . .
> . . .
> ZZZ 1354 43
>
>
> My code in R is something like this:
>
> data<-read.table("/Users/jsmt/desktop/test.txt",header=T)
>
> data_matrix<-data.matrix(data)
>
> data_heatmap <- heatmap(data_matrix, Rowv=NA, Colv=NA, col = cm.colors(256),
> scale="column", margins=c(5,10))
>
> I end up getting a heat map split into 3 columns: sample, depth, gene and
> the colours are just in big blocks that don't mean anything.
>
> Can anyone help me with my dataframe or my R code? Again, I am fairly new
> to R, so if you can help, please give me very detailed help :)
>
> Thanks in advance!
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Heat-map-in-R-tp3176478p3176478.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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