similar to: corrgram (package corrgram): how to plot multiple correlograms in the same page?

Dear all, I am having quite a hard time in trying to figure out how to correctly spell out a model in R (a repeated-measures anova with a within-subject covariate, I guess). Even though I have read in the posting guide that statistical advice may or may not get an answer on this list, I decided to try it anyway, hoping not to incur in somebody's ire for misusing the tool. For the sake of

Dear all, I am estimating a mixed-model in Ubuntu Raring (13.04¸ amd64), with the code: fm0 <- lme(rt ~ run + group * stim * cond, random=list( subj=pdSymm(~ 1 + run), subj=pdSymm(~ 0 + stim)), data=mydat1) When I check the approximate variance-covariance matrix, I get: > fm0$apVar [1] "Non-positive definite

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")

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

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,

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

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.

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 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

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:

Hello group, For my PhD I'm working on a spatial sampling grid. I do have two data sets which I'd like to compare using cross-correlograms or cross-variograms. Is this an option in one of the R-packages? I've been searching the R-help archive and the available package-documentations, but I can't find how to do this. Thanks in advance, Ren?.

Hello, I have time series and need to draw simple and partial correlograms with associated Q-statistics (the same as in EViews). Can I do it in R? Thanks --------------------------------- [[alternate HTML version deleted]]

Dear colleagues, Where I can find tools for drawing correlograms (graphical representations of autocorrelation and partial autocorrelation functions)? Thank you, Max --- This message contains no viruses. Guaranteed by Kaspersky Anti-Virus. www.antivirus.lv

Dear all I would like to have some data in the form of a 2-dimensional array (matrix) of lists, so that I can easily find the desired list object by indexing the structure by rows and columns. In matlab there exists a data type called "cell array": a matrix of "cells", which are composite objects very similar to R lists. I know that in R you can create 1-dimensional

Hi all, I have a quota problem with xfs (xfsprogs 3.1.7+b1 on debian GNU/Linux 7 -- wheezy) and samba-4.1.19. If I set a user quota to say 10GB, windows explorer reports a 20GB quota of which none used. If I change quota to x, windows explorer reports 2x space of which none used. So I assume samba is somehow getting (albeit incomplete and incorrect) xfs quota info from operating system. disks

Dear R-users, tsboot fails when I try to perform a block bootstrap on seaKen (package wq): these commands: require(wq) require(datasets) boot.block.sen <- function(data){seaKen(data)[[1]]} tsboot(sunspot.month, boot.block.sen, R=1999, l=12, sim="fixed") return: Error in seaKen(data) : x must be a 'ts' Any suggestion on how might I change seaKen in order to use it with

Dear R list I am looking for a function in R that computes the integration of a discrete curve, such as a power spectrum, in a specified interval (in my case, that would be 'power in a certain frequency band'). I found only functions, such as 'integrate', that perform adaptive quadrature on analytic functions, and not on a curve specified as a set of (x,y) pairs. I have the

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)