similar to: Partial correlations and p-values

Dear all, I'm writing my manuscript to publish after analysis my final data with ANOVA, ANCOVA, MANCOVA. In a section of my result, I did correlation of my data (2 categirical factors with 2 levels: Quantity & Quality; 2 dependent var: Irid.area & Casa.PC1, and 1 co-var: SL). But as some traits (here Irid.area) are significantly influenced by the covariate (standard length, SL), I

I'm new to R and trying to use the ggm package and I get the following message: > library("ggm", lib.loc="/Library/Frameworks/R.framework/Versions/3.0/Resources/library") Loading required package: graph Error: package ‘graph’ could not be loaded In addition: Warning message: In library(pkg, character.only = TRUE, logical.return = TRUE, lib.loc = lib.loc) : there is no

Hi, I have done different discriminant function analysis of multivariat data. With the CV=True option I was not able to perform the predict() call. What do I have to do? Or is there no possibility at all? You also need the predicted values to produce a plot of the analysis, as far as I know. Here my code: pcor.lda2<-lda(pcor~habarea+hcom+isol+flowcov+herbh+inclin+windprot+shrubcov+baregr,

Hi, I would like to conduct a MANOVA. I know that there 's the manova() funciton and the summary.manova() function to get the appropriate summary of test statistics. I just don't manage to specify my model in the manova() call. How to specify a model with multiple responses and one explanatory factor? If I type:

Dear colleagues, I've been searching for information on the Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy (MSA). This statistic is generated in SPSS and is often used to determine if a dataset is "appropriate" for factor analysis -- it's true utility seems quite low, but it seems to come up in stats classes a lot. It did in mine, and a glance through the R-help

Muy buenas, quiero calcular correlaciones de Pearson entre dos variables (a,b) teniendo en cuenta una tercera (c). Para ello estoy usando una función llamada "pcor.test" (http://www.yilab.gatech.edu/pcor.html), que en realidad no está en ningún paquete de R, que yo sepa. ¿Alguien conoce una función similar en alguna librería de R? Por otro lado, para ver si me cuadraban los resultados,

Hi All, How do i calculate KMO for a dataset? *Dataset:---------------------* m1 m2 m3 m4 m5 m6 m7 m8 1 2 20 20 2 1 4 14 12 2 9 16 3 5 2 5 5 15 3 18 18 18 13 17 9 2 4 4 7 7 2 12 2 11 11 11 5 7 8 5 19 5 2 20 18 6 7 4 7 4 7 9 3 3 7 5 5 5 12 5 13 13 12 8 6 6 4 3 5 17 17 16 9 12 12 4 2 4 4 14 14 10 5 14

Hej! I have the following problem: I would like to do partial correlations on non-parametric data. I checked "pcor" (Computes the partial correlation between two variables given a set of other variables) but I do not know how to change to a Spearman Rank Correlation method [pcor(c("BCDNA","ImProd","A365"),var(PCor))] Here''s a glimpse of

Dear R help Don't really understand if there is graph or should be graph. > library(ggm) Loading required package: graph Error: package ?graph? could not be loaded In addition: Warning messages: 1: package ?ggm? was built under R version 2.15.3 2: In library(pkg, character.only = TRUE, logical.return = TRUE, lib.loc = lib.loc) : there is no package called ?graph? G

Hi All, This is my R-version information:--- > version _ platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu status major 2 minor 7.1 year 2008 month 06 day 23 svn rev 45970 language R version.string R version 2.7.1 (2008-06-23) While calculating partial

This is an update to the Linux part of the Xen PVFB. Linux Xen PVFB is a pair of Xen para-virtual frontend device drivers: drivers/video/xen-fbfront.c provides a framebuffer, and drivers/input/xen-kbdfront provides keyboard and mouse. Their backends run in dom0 user space. Parts in this patch series: 1. Enable Xen console by default in domU 2. Pointer z-axis (mouse wheel) support 3. Module

This is an update to the Linux part of the Xen PVFB. Linux Xen PVFB is a pair of Xen para-virtual frontend device drivers: drivers/video/xen-fbfront.c provides a framebuffer, and drivers/input/xen-kbdfront provides keyboard and mouse. Their backends run in dom0 user space. Parts in this patch series: 1. Enable Xen console by default in domU 2. Pointer z-axis (mouse wheel) support 3. Module

This is an update to the Linux part of the Xen PVFB. Linux Xen PVFB is a pair of Xen para-virtual frontend device drivers: drivers/video/xen-fbfront.c provides a framebuffer, and drivers/input/xen-kbdfront provides keyboard and mouse. Their backends run in dom0 user space. Parts in this patch series: 1. Enable Xen console by default in domU 2. Pointer z-axis (mouse wheel) support 3. Module

Hello everyone My name is Vangelis and I want to ask a question about partial correlation. I have used the command "pcor.shrink" to evaluate the partial correlations of a data.frame but the problem is that in the output results I cannot see whether these correlations are significant or not. Is there any command which can show me if these correlations are significant at 95% level or

So ever since syzbot discovered fbcon, we have solid proof that it's full of bugs. And often the solution is to just delete code and remove features, e.g. 50145474f6ef ("fbcon: remove soft scrollback code"). Now the problem is that most modern-ish drivers really only treat fbcon as an dumb kernel console until userspace takes over, and Oops printer for some emergencies. Looking at

Hi all, Can anyone help me setup this package so I can use it. I am getting errors with the Rgraphviz package and have tried a number of ways to get this to work. Any help will be greatly appreciated! I am sorta new to R but have been actively trying to get into using it as my main analysis software. Thanks, Brock [[alternative HTML version deleted]]

I get this error while computing partial correlation. *Error in solve.default(Szz) : system is computationally singular: reciprocal condition number = 4.90109e-18* Why is it?Can anyone give me some idea ,how do i get rid it it? This is the function i use for calculating partial correlation. pcor.mat <- function(x,y,z,method="p",na.rm=T){ x <- c(x) y <- c(y)

I am a new user of the function sem in package sem and lavaan for structural equation modeling 1. I don?t know what is the difference between this function and CFA function, I know that cfa for confirmatory analysis but I don?t know what is the difference between confirmatory analysis and structural equation modeling in the package lavaan. 2. I have data that I want to analyse but I have some

Hello, after thorough searching of the R help files as well as S+-help, I'm coming to the list: Is there a possibility to compute partial correlation coefficients between multiple variables (correlation between two paired samples with the "effects of all other variables partialled out")? All I seem to find are the standard Pearson correlation coefficients (with cor()) and no clue

Hello,I am trying to install a newer version of R (R 2.14.2) from this linkhttp://cran.r-project.org/bin/macosx/ However I am getting an error that it can not be installed on my computer. My Mac is version 10.6.8. Can you please advise me what the problem. I need the newer version to install the ggm package. Thanks, Heba [[alternative HTML version deleted]]