similar to: Multiple Correlation coefficient (spearman, Kenall)

Dear R Core Team I've a proposal to improve drop1(). The function should change the contrast from the default ("treatment") to "sum". If you fit a model with an interaction (which ist not signifikant) and you display the main effect with drop1( , scope = .~., test = "F") If you remove the interaction, then everything's okay. There is no way to fit a

Hallo, zur Analyse von Daten zum Artenreichtum von Pflanzen, habe ich ein Glm (glm) und anschlie?end eine Anova (anova) durchgef??hrt. Nun m??chte ich f??r die signifikanten Einflussfaktoren einen Post Hoc Tukey Test durchf??hren, um zu ermitteln in wie weit die einzelnen Faktorstufen sich signifikant voneinander unterscheiden. Mit dem Befehl (TukeyHSD) komme ich nicht

Hi everyone, I've been trying to find a function that outputs the Pearson and/or Spearman correlation coefficients for several variables with the associated statistics in one single table/matrix. For what I've been able to understand the Stats package is only able to compute these coeficients/statistics only in defined pairs. This becomes time consuming when we want to determine these

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 all, I would like to ask a question related to Kendall package. I ran Kendall (x,y) and saw the results. But I am not sure which tau values R reported. I have ties in my data set, so I want tau-b. Can anybody tell how Kendall package is calculating tau values? I have looked at the package PDF, but I could not find any useful information. As long as I see from the following link, there

Hi, we are trying to do structural equation modelling on R. However, one of our predictor variables is categorical (smoker/nonsmoker). Now, if we want to run the sem() command (from the sem library), we need to specify a covariance matrix (cov). However, Pearson's correlation does not work on the dichotomous variable, so instead we produced a covariance matrix using the Spearman's (or

Full_Name: Dirk Koschuetzki Version: 2.1.1 OS: source code Submission from: (NULL) (194.94.136.34) Hello, >From the source code (R-2.1.1, file: .../R-2.1.1/src/library/stats/R/) ****************************** cor.test.default <- function(x, y, alternative = c("two.sided", "less", "greater"), method = c("pearson", "kendall",

On Thursday 07 April 2016 16:11:12 Timo Sirainen wrote: > On 06 Apr 2016, at 17:29, Pali Roh?r <pali.rohar at gmail.com> wrote: > > > > On Monday 04 April 2016 19:35:22 Pali Roh?r wrote: > >> On Monday 04 April 2016 19:31:06 aki.tuomi at dovecot.fi wrote: > >>> Can you please send them directly to me, please? > >>> --- > >>> Aki

On Monday 04 April 2016 19:35:22 Pali Roh?r wrote: > On Monday 04 April 2016 19:31:06 aki.tuomi at dovecot.fi wrote: > > Can you please send them directly to me, please? > > --- > > Aki Tuomi > > Sent. Received? Are patches OK now? -- Pali Roh?r pali.rohar at gmail.com -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc

> On April 4, 2016 at 8:18 PM Pali Roh?r <pali.rohar at gmail.com> wrote: > > > On Monday 04 April 2016 19:12:56 Pali Roh?r wrote: > > Hello, > > > > I borrowed dovecot parser for email addresses and going to use it in new > > perl module as replacement for Email::Address. During implementation and > > testing I found bugs in dovecot parser &

Hi, I am using the Strucchange package in R to test for structural change in regression coeffcient. Given a model y = b0 + b1*X + b2*Z, the Fstats test whether there is a change in both b1 and b2 over a time period. Is there any way where I can restrict the test to hold b2 constant and test for break in only b1? That is, instead of a pure structural change, could I test for partial structural

Hello, I borrowed dovecot parser for email addresses and going to use it in new perl module as replacement for Email::Address. During implementation and testing I found bugs in dovecot parser & generator. So I'm sending my patches together with tests. Pali Roh?r (7): lib-mail: message_address_write: Fix generating empty group list lib-mail: message_address_write: Fix generating group

On Thursday 21 April 2016 15:12:52 Juergen Gross wrote: > On 21/04/16 12:57, Pali Roh?r wrote: > > On Tuesday 05 April 2016 21:31:52 Pali Roh?r wrote: > >> On Tuesday 05 April 2016 16:54:14 Guenter Roeck wrote: > >>> On Tue, Apr 05, 2016 at 07:10:07AM +0200, Juergen Gross wrote: > >>>> Use the smp_call_on_cpu() function to call system management >

On Thursday 21 April 2016 15:12:52 Juergen Gross wrote: > On 21/04/16 12:57, Pali Roh?r wrote: > > On Tuesday 05 April 2016 21:31:52 Pali Roh?r wrote: > >> On Tuesday 05 April 2016 16:54:14 Guenter Roeck wrote: > >>> On Tue, Apr 05, 2016 at 07:10:07AM +0200, Juergen Gross wrote: > >>>> Use the smp_call_on_cpu() function to call system management >

Hello, I would be grateful if anybody can help me in finding an R function to compute weighted Spearman correlation coefficient? Kind regards, Daniel

Hallo! Is there an error in cor to calculate Spearman correlation with cor if there are NA's? cor.test gives the correct result. At least there is a difference. Or am I doing something wrong??? Does anybody know something about this? a<-c(2,4,3,NA) b<-c(4,1,2,3) cor(a, b, method="spearman", use="complete.obs") # -0.9819805 cor.test(a, b,

Dear all, I tried help.search("karber") and RSiteSearch("karber") and RSiteSearch("*karber*") to find whether the (trimmed) Spearman-Karber method for LD50 evaluation in toxicity data (e.g. according to Hamilton 1977) has been implemented in R. Or does this method feature under a different name? Of course logit and probit are doable, but Spearman-Karber seems to

Hallo, does anybody know if there is an implementation of the Spearman rank correlation in R that gives a correct (or at least 'safe') p-value in the case of ties?? I have browsed the R-help archives but I found nothing. Thanks a lot in advance for any help, Antonino Casile

Hello, I calculate the correlation between two matrices cor(x,y, method="spearman") and I am wondering if it possible to see only the significant correlations. I can do that for single OTUs with cor.test() command but I would like to have an output for whole matrix. Besides,I would like to plot the relative abundance of each OTU, against the number of significant pair-wise correlations

Dear R, I'm looking for exact p-values for Spearman's rank correlation in the presence of ties. This is available in StatXact and SPSS, but I haven't yet found it in R. Has anyone implemented this? -- Paul H Artes Assist Prof, Ophth Vis Sci Dalhousie University, QEII Eye Care Centre Halifax, NS, CANADA