Yes that sounds very much like it. I'm using R 13.1 on Windows 7 32 bit. I did do a search but didn't find anything - probably not using the correct search terms. Glad its not just me.
Thank you, Col. ________________________________ From: Michael Sumner <mdsum...@gmail.com> Cc: Peter Morgan <morga...@cardiff.ac.uk>; "r-help@r-project.org" <r-help@r-project.org> Sent: Tuesday, 9 August 2011, 1:32 Subject: Re: [R] heatmap is producing unwanted horizontal and vertical lines? Is it this? https://stat.ethz.ch/pipermail/r-devel/2011-July/061540.html Try a recent version of R 2.13.1 patched > Hi Pete, > > I thought it might be something to do with NA's when I first started but its > not. I've attached both the image output and the data. Its almost as if the > blocks in the heatmap are not quite meshing together? I've tried heatmap.2 as > well and that gave the same result. I also just tried the image command and > that was giving the same result as well. > > What I'm wanting are blocks together without the white lines going through > but just cant seem to find a way to do that? > > Best regards, > Col. > > > ________________________________ > From: Peter Morgan <morga...@cardiff.ac.uk> > Sent: Monday, 8 August 2011, 14:37 > Subject: Re: [R] heatmap is producing unwanted horizontal and vertical lines? > > > Hi Col, > > Without seeing your data and the heatmap > you are plotting it is hard to tell what is going on. Are the NAs in any > pattern? NAs appear in heatmap as the background colour which is > white by default since they are plotted transparently (see the image( ) > command for details). If this is the case, you could be seeing the pattern > of NAs plotted in white. > > Also, have you tried the the heatmap.2( > ) option in gplots? > > Regards, > > Pete > > > > > > From: > To: > "r-help@r-project.org" > <r-help@r-project.org> > Date: > 08/08/2011 13:05 > Subject: > [R] heatmap > is producing unwanted horizontal and vertical lines? > Sent by: > r-help-boun...@r-project.org > ________________________________ > > > > Hello, > > I must start by saying that I am an R novice and am sorry if this is a > no-brainer... > > I have an csv file that contains a grid of 300x300 data points. Each point > represents > a 1Km square on a map. Each point is either a floating point number or > NA. I load the > data in with: > > data <- read.csv("matrix.csv", sep=',') > > Convert the data to a matrix with: > > data_matrix <- data.matrix(data) > > and then produce the heatmap with: > > data_heatmap <- heatmap(data_matrix,Rowv=NA,Colv='Rowv',margin=c(0,0)) > > The heatmap is displayed in a separate window as expected and > looks correct apart > from fine white banding lines spaced out evenly over the image running > horizontally > across the image? > > At first I thought it was my data but I checked that and its not. If I > resize the > image I then see white vertical lines and different horizontal > lines appear? > > I've tried a number of different settings but can't seem to get > rid of these lines. > If I can get rid of them the image will be ideal and just what I want. > Does anyone > have any idea of what I'm doing wrong? > > Best regards, > Col. > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > ______________________________________________ > 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. > > -- Michael Sumner Institute for Marine and Antarctic Studies, University of Tasmania Hobart, Australia e-mail: mdsum...@gmail.com [[alternative HTML version deleted]]
______________________________________________ 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.
