similar to: problem with corrgram function

I'm trying to make correlograms using corrgram. See below for a simple example. #### library(corrgram) data(baseball) vars1 <- c("Assists","Atbat","Errors","Hits","Homer","logSal") vars2 <- c("Putouts","RBI","Runs","Walks","Years")

given this example library(corrgram) corrgram(mtcars[2:6], order=TRUE, upper.panel=panel.conf, lower.panel=panel.pie, diag.panel=panel.minmax, text.panel=panel.txt) how can I change the variable names in main diagonal? (so that I can put more informative names of variables) I think to understand that this should be done by modifing the panel.txt function but

Hello, I am trying to plot a few correlograms on the same figure, with the function corrgram() from the package corrgram. However, the function does not seem to use the base graphic system, as setting out the multiple figure layout with, e.g., par(mfrow=c(2, 2,)) does not work. Does anybody know a workaround for this? Many thanks in advance for any advice best giuseppe -- Giuseppe Pagnoni,

Hello, are there fixed threshold values for the changes between different shades of blue in the corrgram? Or is a chang relative depending on the data? I didnt get it in manual. Thank you very much, best regards Claudia

Hi, I would like to display inter-parameter scatter plots like those with the corrgram package (see upper triangle here: http://www.statmethods.net/advgraphs/images/corrgram2.png ), just that I would like to plot two datasets instead of one. Say one with black and one with red dots. Or a merged dataset where an indicator column is used to assign different colors to particular dots - with still

Hello all, I'm trying to create a heatmap using 2 matrices I have: z and v. Both matrices represent different correlations for the same independent variables. The problem I have is that I wish to have the values from matrix z to be represented by color intensity while having the values from matrix v to be represented by circle size. I currently have the following in front of me and an unsure

In using cor(data.frame), it is annoying that you have to explicitly filter out non-numeric columns, and when you don't, the error message is misleading: > cor(iris) Error in cor(iris) : missing observations in cov/cor In addition: Warning message: In cor(iris) : NAs introduced by coercion It would be nicer if stats:::cor() did the equivalent *itself* of the following for a data.frame:

Hi I am using the heatmap function in package mva to look at large correlation matrices visually. Is there any way to "flip" the output of heatmap plot left-right so that, if presented with a correlation matrix, it plots the unity elements in the correlation matrix along a diagonal from top left to bottom right? For example: library(mva) x = matrix(rnorm(1000), ncol=10) z = cor(x)

I would like to make a correlogram in which I also have a correlation matrix instead of one of the panels. Is that possible? -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-tp4283245p4283245.html Sent from the R help mailing list archive at Nabble.com.

Let's say you have a dataframe of car trade-ins. For example, each row contains oldcar newcar qty and a typical entry could be lexus bmw 1 I put the qty column to allow for fleet purchases, where one purchase may convert multiple cars at once. I'd like to show what's going on. I could do a histogram of newcar to show the frequency each type of car is bought. If there

I propose to add a function that allows to display colors selected by a text pattern or by color vectors in a plot. Wolfram Fischer #--- showcolors.R showcolors <- function( col = "red" , index = NULL , pie = TRUE , lwd = 6 , cex = 1.0 , main = NULL , sub = NULL , ... ){ n.colors <- length( col ) if( n.colors > 1 ){ main <- deparse( substitute( col ) )

Dear all, I generated a Correlograms and used the panel.ellipse (confidence ellipse and smoothed line) option. Is there a way to get instead of the smoothed line the linear regression? Thanks, As hz -- View this message in context: http://r.789695.n4.nabble.com/Correlograms-and-linear-regression-tp2331071p2331071.html Sent from the R help mailing list archive at Nabble.com.

Hi, I'm new to R. I'm trying to plot my data into a circle. my data sort of looks like 12,12,4,5,6,5,11,10,3,9,9,9,12,12,2 total of 15 numbers. I'm trying to add all the same numbers, such that, there are 4 of 12s,1 of 11, 1 of 10, 3 of 9s, and such.... so the circle plot would have 4 parts of 12, 1 part of 11, 1 part of 10, 3 part of 9, and such... I tried

I want to plot many points and want to use circles. The filling color depends on variable a. if a=1, then not fill if a=2 then fill with red, if a=3 then fill with blue, if a=4, fill half with red and half with blue. Can anyone tell me how to plot the case "a=4"? Thanks a lot

From: Hank Janssen <hjanssen at microsoft.com> Increased storvsc ringbuffer and max_io_requests. This now more closely mimics the numbers on Hyper-V. And will allow more IO requests to take place for the SCSI driver. Signed-off-by:Hank Janssen <hjanssen at microsoft.com> Signed-off-by:Haiyang Zhang <haiyangz at microsoft.com> --- drivers/staging/hv/storvsc_api.h | 4 ++--

Hi all, I am having 4 vectors like Data: num [1:4, 1:32] -82.8 -81.8 -75.5 -107.6 -87.6 ...  and I want to calculate the correlation between those. Is there a graphical way in R to plot the correlations or not? I would like to thank you in advance for your help Regards Alex [[alternative HTML version deleted]]

From: Hank Janssen <hjanssen at microsoft.com> Increased storvsc ringbuffer and max_io_requests. This now more closely mimics the numbers on Hyper-V. And will allow more IO requests to take place for the SCSI driver. Signed-off-by:Hank Janssen <hjanssen at microsoft.com> Signed-off-by:Haiyang Zhang <haiyangz at microsoft.com> --- drivers/staging/hv/storvsc_api.h | 4 ++--

Hi, I'm trying to create a heatmap with color ranges for different values in my matrix. For example: If x > 5 , use orange gradient if x < 1.5, use red gradient ..... Right now I have the following: orgPal<-brewer.pal(3,"Oranges") bluPal<-brewer.pal(3,"Blues") redPal<-brewer.pal(3,"Reds") grad <- ifelse(randMat >

Hi all. I want to use llvm in my project and I want to make llvm a git submodule in my project. http://llvm.org/docs/CMake.html#embedding-llvm-in-your-project At this in the documentation it claims to describe how to embed llvm into a project. I tried it that way but it doesn't work, because there isn't any findLLVM.cmake in the llvm/cmake/modules directory anymore (i don't

Dear List, I am trying to get a basic plot to show a continuous range of fill colors. It is probably easiest to demonstrate. I would like a legend like in the following example: Satellite.Palette <-colorRampPalette(c("blue3","cyan","aquamarine","yellow","orange","red")) require(fields) image.plot(volcano, col = Satellite.Palette