similar to: heatmap and continuous variable

Hi I made heatmap of QTL based on Lod score. Where I have traits in columns and marker data (rows). I can not cluster both column and rows as I need the right order for marker data. Can someone suggest me better way of generating heatmaps especially the colour key I want to select to visualize the results which are more interesting to look at. > library(gplots) >

Hello, I've been clustering my data using hclust and cutting the resulting tree with cutree. Separately, I visualize the clusterings with heatmap. Is it possible to have the dendrogram on the heatmap reflect the cutree results? That is, instead of having one large dendrogram, it would have 4 or 25 in the example below. Any guidance on if that's possible or not, and what kinds of

Using the heatmap.2 function, I am trying to generate a heatmap of a 2 column x 500 row matrix of numeric values. I would like the 1st column of the matrix sorted from the highest to the lowest values - so that the colors reflected in the first column of the heatmap (top to bottom) go from red to green. After sorting the matrix (z), I tried the following command, but the data remains

Hello, I have two questions. I'd like to visualize data with a heatmap and I have the following testcase: x <- rnorm(256) nx <- x + abs(min(x)) nnx <- 255/max(nx) * nx x <- matrix(nnx, 16, 16) rownames(x) <-

Hello R-Users! I'm using a heatmap to visualize a matrix of values between -1 and 3. How can I set the colors so that white is zero, below zero is blue of increasing intensity towards -1 and above zero is red of increasing intensity towards red? I tried like this (using the marray and gplots packages from bioconductor): mcol <- maPalette(low="blue", mid="white",

Hi Sorry to revisit an old problem, I seemed to solve this in 2004, only for it to resurface :-S I am trying to plot a heatmap, and I don't want the columns of my matrix re-ordered. The function doesn't seem to behave as the help would have you believe: a <- matrix(rnorm(100),nr=20) a.d <- dist(a) a.hc <- hclust(a.d) a.de <- as.dendrogram(a.hc) # columns are re-ordered

Dear All: I tried to use heatmap.2 to generate hierarchical clustering using the following command: heatmap.2(datamatrix, scale="row", trace="none", col=greenred(256), labRow=genelist[,1], margins=c(10,10), Rowv=TRUE, Colv=TRUE) datamatrix is subset of a RMA normalized data subset by a genelist. The problem is a lot of times, the z-score in key are from, like -5 to 15 or

Hi, I wanted to draw a heatmap with some horizontal lines. For example: #------ code ------ mat <- matrix(-1:1,7,9) heatmap.2(mat,Rowv=NA,trace = 'none',key=F) #----end code ----- In this heatmap, I want to subgroup the rows. For instance, I would like to group rows 5,6 & 7 together, and would draw a black line between rows 4 & 5 to demarcate the group. Similarly, I want to

Dear all, I am having troubles importing values written as scientific notation using read.table(). I'm sure this is a frequent problem, as many people in my lab have this problem as well, so I'm sure that I just have troubles googling for the right solution. The problem is, that, given a file like that: a 1 2e-4 b 2 3e-8 ... the third column gets imported as a factor, or a string if I

I have a huge dataset(15k X 18) and tried to use the heatmap in R to examine the patterns. However, I found that heatmap and heatmap.2 gave me completely different outputs. Here are the codes: ------------ > dim(as.matrix(data.dcpm)) [1] 15462??? 18 > > heatmap(as.matrix(data.dcpm), col=topo.colors(100)) > heatmap.2(as.matrix(data.dcpm), col=topo.colors(100), key=TRUE,

Hi, I have a question about the heatmap dendrogram in R. I loaded my data matrix in command heatmap(), and it gave me a heatmap accordingly, and the rows (genes) also were clustered accordingly. But now I don't want the genes clustered in that way, I have a new order of these genes, and want the rows of the heatmap are drawed as the order I give. Could anybody help me on that? Thank you!

Hi, I am having troubles with heatmap(). I have a matrix containing pairwise distance values and I want to plot this matrix with heatmap. I wonder now what distfun is for. Is a distance matrix computed from my initial matrix again and then plotted? cheers, andreas

Hi, I was trying to use par(mfrow) to put 4 heatmaps on a single page. However, I get one plot per page and not one page with 4 plots. What should I modify? Test code is given below: test = matrix(rnorm(60), 20, 3) pdf(file='test.pdf',width=10,height=8) par(mfrow=c(2,2)) heatmap(test) heatmap(test) heatmap(test) heatmap(test) dev.off() thanks! [[alternative HTML version deleted]]

Hi, I'm kinda new of the R world. I need to use the heatmap or heatmap.2 function to plot correlation values. 2 questions: - how can I specify a color palette? (would like to have a transition from blue(-1) to white(0) to red(1)) - how can I use heatmap.2 imposing a specific order (like hclust.order)? I mean, I don't want heatmap.2 to re-cluster/re-order my data but just to plot them

Hi, Can someone please guide me towards how to produce "heatmap" output from the output of "hclust" run prior to the actual "heatmap" call? I have some rather lengthy clustering going on and tweeking the visual output with "heatmap" recalculating the clustering every time is not feasible. Thanks, Joh

Hi, I have what would seem to be a very simple problem but have been unable to find any way to go about solving it: I am using heatmap.2 to create a heatmap and by default the x axis label is at the bottom of the heatmap, I simply want to move the label to the top of the heatmap. Any help with this would be greatly appreciated. Thanks, Mark

Hi All, I was wondering if anyone here as successfully converted a package for windows to one that will work in Linux? What are the necessary steps if you have the source code? Thanks, Josh

Hi, I am using the function heatmap(stats) to draw a microarray heatmap, columns are samples and rows are gene features. I did a 2D clustering during the heatmap drawing. The features and samples indeed cluster into several blocks both vertically and horizontally. I can get the index of re-ordered rows and columns after the heatmap drawing by typing the the return variable of the heatmap

Using the heatmap function in mva, it seems to be hard to use different colors in the edges leading to different groups of objects, as commonly done in many heatmaps in the microarray graphics. Any suggestions? Thanks. max

Hi all, Does anyone know of a fairly easy way to "stretch" a heatmap vertically? I've got 42 arrays and would like to be able to see as many significant genes as possible (right now I can only get 50 genes with it still being readable). In some comparisons there are several hundred significant genes. I've fiddled with the "asp" argument, but that doesn't