search for: bluer

Hi, How do I anchor z=0 to the white color in a levelplot so that the color changes from cyan to magenta precisely as z changes from negative to positive? Also is it easy to change color scheme, say to blue/red as it's more dramatic? Is there a better function for showing heatmap with a color bar? Thanks in advance for any help, I've played with image, heatmap and levelplot a little and

...Colv=FALSE, distfun = function(x) dist(x,method = ''maximum''), hclustfun = function(x) hclust(x,method = ''centroid''), xlab = NULL, ylab = NULL, key=TRUE, keysize=1, trace="none", density.info=c("none"), margins=c(6, 12), col=bluered ) This gives a heatmap with inversions in the cluster tree, which is inherent to the centroid method. A solution to avoid inversions is to use the Euclidean or the city-block distance, and indeed if you change maximum to euclidean in the above example the inversions are gone.(for reference see c...

On the cover of Zivot and Wang's Modeling Financial Time Series with S Plus, there is a correlation plot that seems to indicate the strength of correlation with color-coded squares, so that more highly correlated stocks appear darker red. If anybody out there is familiar with the book or understands what I am talking about, I am curious as to whether or not there is a similar function in R

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

...ment condition without being fixed to the -1, to 1 scale. Below is how the code i used. library(gplots) zcz<- read.table("chitekete.csv", header = T, row.names=1, sep=","); xcc <- cor(zcz); pdf("SIGA.pdf", height=10,width=9) heatmap.2(xcc, margins= c(9,9), col = bluered(64), trace=c("none"), breaks=c(seq(-1,1,1/32)), symkey=TRUE, density.info="histogram", cexRow=1) I thank you all. Paul -- BEST Paul Murima

Hi, i created a graph with heatmap(sma) function: heatmap(dataHeat(x)) and I wish to change the gradation of colors from blue to red, how could i do? Using "heatmap(dataHeat(x), col=c(2,4))" i will use only 2 colors without gradation. Ty so much Andrea

I just had a manuscript returned with the biggest problem being the analysis. Instead of using principal components in a regression I've been asked to analyze a few variables separately. So that's what I'm doing. I pulled a feather from young birds and we quantified certain aspects of the color of those feathers. Since I often have more than one sample from a nest, I thought I

...uot;->"D50" conversion (approximately) matches the corresponding matrix from brucelindbloom.com chromatic adaptation page: http://www.brucelindbloom.com/Eqn_ChromAdapt.html Additionally visual inspection via ??? scales::show_col(c(rgb.in, rgb(clr.out))) is consistent with a shift from bluer indirect daylight ("D65") to yellower direct daylight ("D50") illuminant. It is worth noting that the adaption method currently in`grDevices:::chromaticAdaptation` appears to be the "Von Kries" method, not the "Bradford" method as documented in `?convertColor...

...top of the heatmap If I use either of these orders the ordering works: order <- c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24) order2 <- c(24,23,22,21,20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2,1) using the command: heatmap.2(tmatrix, clusteredmatrixasdendrogram, col=bluered600, dendrogram="column", scale="none", trace="none", Rowv=order) however If I start mixing the numbers up e.g: order3 <- c(1,4,7,10,2,5,8,11,3,6,9,12,13,16,19,22,14,17,20,23,15,18,21,24) or order4 <- c(24,21,18,15,23,20,17,14,22,19,16,13,12,9,6,3,11,8,5,2,10,...

...width=10) heatmap.2(mat, dendrogram="row", Rowv=TRUE, Colv=NULL, distfun = dist, hclustfun = hclust, xlab = "Lipid Species", ylab = NULL, colsep=c(1), sepcolor="black", key=TRUE, keysize=1, trace="none", density.info=c("none"), margins=c(8, 12), col=bluered ) -- View this message in context: http://r.789695.n4.nabble.com/setting-distance-matrix-and-clustering-methods-in-heatmap-2-tp3690173p3690173.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]]

Hi, Can anyone tell me how to set Z-score according to my own requirement as the below code is taking as per the file entries. Any help would be appreciable. library(gplots) x=read.table("final.txt", header=TRUE) mat=data.matrix(x) heatmap.2(mat, col=colorRampPalette(c("green","white","red"))(256), #col=greenred(75), Rowv=TRUE, Colv=FALSE, distfun = dist,

So, version .16 has come out and I wouldn't mind upgrading. The thing is, I have to patch my Wine source code for a particular game. I guess I have to remove the Wine version I have now, patch the .16 and compile the source code? If there is another way, please let me know. Though, my main question is if I uninstall Wine, will it take thing installed with it; I mean, does .wine still exist