similar to: about heatmap

Hii.. Could anyone please tell me how to draw 3D histogram in R I have a 20X3 matirx. Now I want 2 of the variable on X and Y axis .And Height of the bar should denote the value of third variable. Thanx Sumit [[alternative HTML version deleted]]

Hi all: My data has 3 variables: age(3levels : <30y=1 30-50y=2, >50y=3) gender(Male=0, Female=1) CD4 cell count(raw lab measurement) y(1:death 0:alive) I perform logistic regression to find out the factors that influence y. result<-glm(y ~ factor(age) + factor(gender) + CD4,family = binomial) >From the result,I can get OR(Odds Ratio) of gender via exp(Estimate of Female,

Hi All, After a lengthy battle just to get the package installed, I am not able to actually use Rgraphviz to generate any plots. I tried just using the sample code in the documentation (http://www2.warwick.ac.uk/fac/sci/moac/people/students/peter_cock/r/rgraphviz/) and I get the following: *> > library(Rgraphviz) > test.matrix<-matrix(rep(c(0,1,0,0), 9), ncol=6, nrow=6) >

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) >

> Dear expeRts, > > Currently, my colors are as follows: > mycol <- > c("blue1","blue2","blue3","blue4","black","yellow4","yellow3","yellow2","y > ellow1") > heatmap(snp, Rowv=NA, Colv=NA, col=mycol) > > However, I would like to have the following colors: > bright blue ->

Hi,   I need to generate a heatmap on a square matrix and wouldn't want to reorder the columns and the rows on the heatmap display.    I have used the options Rowv=NULL and Colv=NULL but doesn't seem to work. Following is a snippet of the heatmap function i am using. args <- commandArgs(); inputfile <- args[2] imgfile   <- args[3] bitmap(imgfile, height=15, width=15, res=100,

Hi, I wanted to make more than one side color bar. For example, I can make one side color bar (col1) with the following code: ----------------------------------- library(gplots) mat <- matrix(sample(1:100,40),nrow=5) class1 <- c(rep(0,4),rep(1,4)) col1 <- ifelse(class1 == 0,"blue","red") class2 <- c(rep(1,3),rep(2,5)) col2 <- ifelse(class2 ==

hi, I have a positive integer matrix like: test<-matrix(c(1,2,2,2,2,1,1,2,3),3) and based on the distant function I made like this: generateDistMat<-function (target) { n <- nrow(target) rn <- rownames(target) distM <- matrix(NA, n, n) diag(distM) <- 0 for (i in 1:(n - 1)) for (j in (i + 1):n) { distM[i, j] <- length(which(target[i, ] !=

Dear R Community, I am trying to create an heatmap for the following set of data: ##example of data matrix o4 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 green 27 28 29 29 28 28 26 25 25 23 23 22 22 21 21 22 22 22 yellow 6 8 8 7 7 7 6 6 6 7 7 7 6 6 6 6 6 5 red 15 15 15 15 15 15 14 13 12 11 12 10 9 8 7 6 8 9 pink

Hi, I have searched for a solution but I failed to find an answer. I am hoping you may be able to help me. I have a data set where I have observations for a number of units (n =~40) over a period of time (t =~100) and I have a variable (Z) that codes a categorical variable for each observation. I want to produce a 2D plot where time is on the x-axis and units are on the y-axis. Then each block

I'm trying to display the probability space of a function and wanted to see specifically where the maximum posterior probability is. data=read.table("PosteriorData",header=F) mat=as.matrix(data) heatmap.2(mat/max(mat,na.rm=T),dendrogram=c("none"),trace=c("none"), Rowv=F,Colv=F,labRow=3*c(10:-10),labCol=3*c(-10:10),symm=T,col=rainbow(100)) As the

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 there, I'd like to create a heatmap from my matrix with a) a defined color range (lets say from yellow to red) b) using striking colors above and below a certain threshold (above = "green", below = "blue") Example matrix (there should be a few outliers generated...) + simple levelplot without outliers marked: library(lattice) my.mat <- matrix(rnorm(800), nrow =

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 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

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