similar to: corrgram with two datasets

Dear list, I have a problem with the "corrgram" function. It does not seem to "color" large negative correlations, while the same correlation, if positive, provides no problems. Is this a bug? require(corrgram) a = seq(1,100) b = -jitter(seq(1,100), 80) cor(a,b) # r about -.96 c=as.data.frame(cbind(a,b)) corrgram(c, order=NULL, lower.panel=panel.pie,upper.panel=NULL,

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,

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, 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

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")

Hi, For my data, I followed the example of http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R/Clustering/K-Means#Execution and got some very nice results. Despite the fact, that I want to achieve a bit more by clustering my data (stratification beyond case-control), the actual data-frame contains a column labeled "C" which holds a case-control indicator (here either "Z"

Hi, Thanks Sarah. Unfortunately I did not get a step further. My question, perhaps a bit clearer, is how to display the case control status (or any other arbitrary point label) after clustering in a plot: With a bit of pseudo code, where dataset is a data.frame, parameters are those column names where we find numerical values (no NAs) and nclasses is the desired number of classes. fit <-

Hi, I would like to tabulate the likelihood for an affection. For this, I retrieve indices of affected people and controls for my data set and proceed as follows: flags <- c(rep(1, length(patient_indices)), rep(0, length(control_indices))) # dataset is a data.frame and param the parameter to be analysed: data1 <- dataset[,param][c(patient_indices, control_indices)] fit1 <- glm(flags ~

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

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

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:

Dear All, It is a common problem to update R for distributors. My challenge is to maintain R module files for a cluster, using easybuild. My question is: Is there a way to derive a list of cran packages and their version for a given version of R? In case addressing the R-help list is addressing wrong list, any pointer is appreciated. Best regards, Christian Meesters

Hello all, I am running SLES9 with the latest kernel patches (2.6.5-7.282-bigsmp) and ocfs2 version (1.2.1-SLES), I was wondering if anyone had any info on if the latest ocfs2 will be included in SLES anytime soon. Or how to get the patches from Novell. Thanks in advance! - Andy Andy Kipp Network Administrator Velcro USA Inc. 406 Brown Ave. Manchester, NH 03103 Phone: (603) 222-4844 Email:

Hi, I've got a Powerware Prestige 9 1kVA UPS that seems to not be working with nut. It's not in the current "supported hardware" list, but the old bcmxcp page lists it as being a UPS that speaks that protocol. I have the following in my ups.conf [powerware] driver = bcmxcp port = /dev/ttyS0 desc = "Powerware Prestige 9 EXT" baud_rate = 2400 And when I start the

Hi All, What is the status of the oggpcm project? I'm investigation solutions to the following problem: losslessly encode double-precision mutli-channel timeseries data in a format that is compatible with free (libre) internet streaming technologies and that permits diverse metadata to be encoded with the stream. flac isn't suitable because it only supports integer data, lossy

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.

Hi, Being a R-newbie I am wondering how to calculate a correlation coefficient (preferably with an associated p-value) for data like: > d[,1] [1] 25.5 25.3 25.1 NA 23.3 21.5 23.8 23.2 24.2 22.7 27.6 24.2 ... > d[,2] [1] 0.0 11.1 0.0 NA 0.0 10.1 10.6 9.5 0.0 57.9 0.0 0.0 ... Apparently corr(d) from the boot-library fails with NAs in the data, also cor.test cannot cope with a

> On Aug 9, 2017, at 5:38 AM, Christian Meesters <meesters at uni-mainz.de> wrote: > > Dear All, > > It is a common problem to update R for distributors. My challenge is to maintain R module files for a cluster, using easybuild. > > My question is: Is there a way to derive a list of cran packages and their version for a given version of R? I'm wondering whether

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)

Hi, excuse me for my english, i am using R on windows and i have to do several graphs with axis labels and the axis text thicks has a specified font type, (Arial) and a specified font size. How can i do these? Thank you in advance -- View this message in context: http://www.nabble.com/graph%3A-axis-label-font-tp24463974p24463974.html Sent from the R help mailing list archive at Nabble.com.