similar to: Testing Significance of Correlation Matrix using Brien's Test

Hi All, I am looking for help in rotating species titles produced using the strat.plot( ) function in the rioja package. This function produces a stratigraphic plot of paleoenvironmental data. Currently the titles of each species are plotted vertically while they are typically plotted at a 45 degree angle in other programs. Does anyone have any idea of how to rotates these titles? Below is an

Hello, I'm looking for a package in R that performs, analysis of correlation matrices: cross-classified by 2 factors. The orginal reference to this method is by CJ Brien Biometrica (1998) 75(3):469-76. THank you, Agnes ------------------------------------- E. Agnes Richards, Ph.D. Candidate Department of Zoology University of Toronto at Mississauga 3359 Mississauga Rd. North

Hi R-users, I am using lme to fit a linear mixed model with the nlme package, does anyone know if it is possible to obtain standard error estimates of the variance components estimators and an adequate method to test the significance of the variance component? Thanks, Berta. [[alternative HTML version deleted]]

Hi, I understand that to test the significance of correlation between two PAIRED variables, the function, cor.test () can be used. However, in my case, I have tested the correlation (i.e., Correlation Coefficient, r) between two independent (i.e, different) variables, and now I wish to test for the statistical significance of the correlation. Could you please suggest how I should do that. Thank

The following R code causes R to crashes under recent r-devel builds of R: library(ggplot2) RCBD.lay <- data.frame(Blocks = factor(rep(1:5, each = 6)), Units = factor(rep(1:6, times = 5)), Treatments = factor(rep(1:6, times = 5))) ggplot(data = RCBD.lay, aes(x = Units, y = Blocks, label = Treatments)) + geom_text(aes(colour = Treatments)) I

Hi there, I tried this code from homepage: http://myowelt.blogspot.de/2008/04/beautiful-correlation-tables-in-r.html <http://myowelt.blogspot.de/2008/04/beautiful-correlation-tables-in-r.html> corstarsl <- function(x){ require(Hmisc) x <- as.matrix(x) R <- rcorr(x)$r p <- rcorr(x)$P ## define notions for significance levels; spacing is important. mystars <- ifelse(p <

Hello everyone, I am employing the waba method from the multilevel package for obtaining a within-group correlation (Description: http://bg9.imslab.co.jp/Rhelp/R-2.4.0/src/library/multilevel/man/waba.html). Does anybody know a way or a calculation for obtaining a significance value for that correlation? And another question: Does anybody know whether it is possible to save individual

I estimated spearman's correlation coefficient using cor(). How do I test for significance? Vikas

Hello all, I have a set of microarray timeseries (approx. 18000 genes and 7 time points per gene) data that I have correlated with a template (a vector of length 7). I have also correlated random data from a normal distribution with the same mean and standard deviation as my data set with the template, as well as, correlating a random permutation of my data set with the template. So I now

Hi, among the many (5) methods that I found in the list to do partial correlation in the following two that I had a look I am getting different t-values. Does anyone have any clues on why is that? The source code is below. Thanks. pcor3 <- function (x, test = T, p = 0.05) { nvar <- ncol(x) ndata <- nrow(x) conc <- solve(cor(x)) resid.sd <- 1/sqrt(diag(conc)) pcc <-

Hi there! In my case, cor(d[1:20]) makes me a good correlation matrix. Now I'd like to have it one sided, means only the left bottom side to be printed (the others are the same) and I'd like to have * where the p-value is lower than 0.05 and ** lower than 0.01. How can I do this? And another thing: Is there a way to output that table as a latex table? Thanks, Martin -- Ihr

Dear R-Help, I am trying to find a function that will give me the significance of the correlation of 2 variables (in the same dimension arrays) correcting for serial autocorrelation. How can I view the function cor.test's code? I would like to know a lot more detail about the function than written in the documentation at http://finzi.psych.upenn.edu/R/library/stats/html/cor.test.html to

Hi, based on the sample size I want to calculate whether to correlation coefficients are significantly different or not. I know that as a first step both coefficients have to be converted to z values using fisher's z transformation. I have done this already but I dont know how to further proceed from there. unlike for correlation coefficients I know that the difference for z values is

[Apologies in advance if this is too "statistics" and not enough "R".] I've got an experiment with two sets of treatments. Each subject either received all treatments from set A or all treatments from set B. I can compute the N pairwise correlations for all treatments in either set using cor(). If I take the mean of these N pairwise correlations, I see that the effects

Full_Name: Peter Solymos Version: 2.8.1 OS: Windows Submission from: (NULL) (129.128.141.92) The help page of the Box.test function (stats) states that the Ljung-Box test was published in: Ljung, G. M. and Box, G. E. P. (1978), On a measure of lack of fit in time series models. Biometrika 65, 553--564. The page numbers are incorrect. The correct citation should be as follows: Ljung, G. M.

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I''ve updated a Fedora 8 kernel to 2.6.24.3-34.fc8 and am trying to put Xen into it from the Xen 3.2.0 source tarball. Eventual destination is an OpenSolaris box running x86_64 OpenSolaris 10. However, "make world" fails in the xen-3.2.0 directory. It seems to be searching for something called "linux-2.6.18-xen.hg". Linux 2.6.18 has nothing to do with it, so

I am using nonlinear regression to fit a couple of variables to a set of measurements. I would like to do some significance tests for the estimated parameters. I am able to check the confidence intervals using the Jacobian coming out of nonlinear regression. I do see in a paper which shows t-value (it says estimated by White method??), f-value, f-test, and j-test, are these available in matlab,

This coming out of WWDC. Pretty cool to see this kind of thing happen. -- J "Brien" | HybridIndie Productions | http://hybridindie.com | hybridindie@gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060807/380ae29c/attachment.html

I am working on an Rails application that uses a pretty complex category structure through out the site. I have defined a table to house all the info and a FK to reference parents within the table CREATE TABLE categories ( id int(11) NOT NULL auto_increment, name varchar(50) NOT NULL, parent_id int(11) default NULL, constraint fk_category_id foreign key (category_id) references