similar to: correlation coefficient

Hello everyone, I would like to test two regression slopes:do they differ significantly?The data and commands I've used so far: x<-8.5:32.5 #Vektor x y<-c( NA , NA , 5.67 , 6.53 , 6.83, 7.41 , 7.93 , 8.5 , 8.86, 9.46 , 9.82 , 10 ,10.35 , 10.7 ,11.03 ,11.37 ,11.61 ,11.84, 12.12, 12.39 ,12.67 ,12.96, 13.28 ,13.47, 13.65) #Vektor y (regression<-lm(y~x)) summary(regression)

Dear all, I have a lot of data files (.txt) that I want to read in all at once, if possible. the files have names in time system. for example: RA940101, RA940102, RA940103, RA940104 an so on. (meaning: RA, year:91, month: here january, day of the month.) I tried something like vektor <- c("RA940101","RA940102","RA940103") for (x in 1:3) { data <-

>>>>> Martin Maechler >>>>> on Tue, 8 Sep 2020 10:40:24 +0200 writes: >>>>> Hugh Parsonage >>>>> on Tue, 8 Sep 2020 18:08:11 +1000 writes: >> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2): >> $> R --vanilla >> x <- c(0L, -2e9:2e9) >> # > Segmentation

hi everyone, i have a problem with a function that i defined: the function needs to use a function which is defined outside the function but i realised that this is not working. a friend told me that this must be a problem with hidden parameters. a workaround works when i just define all parameters instead of using the function itself. now the problem is that i want to integrate the

On Tue, 8 Sep 2020, Hugh Parsonage wrote: > Thanks Martin. On further testing, it seems that the segmentation > fault can only occur when the amount of obtainable memory is > sufficiently high. On my machine (admittedly with other processes > running): > > $ R --vanilla --max-mem-size=30G -e "x <- c(0L, -2e9:2e9)" > Segmentation fault > > $ R --vanilla

Dear List, I have tried a stratified Cox Regression, it is working fine, except for the "Anova"-Tests: Here the commands (should work out of the box): library(survival) d = colon[colon$etype==2, ] m = coxph(Surv(time, status) ~ strata(sex) + rx, data=d) summary(m) # Printout ok anova(m, test='Chisq') This is the output of the anova command: > Analysis of Deviance Table

>>>>> luke-tierney >>>>> on Tue, 8 Sep 2020 09:42:43 -0500 (CDT) writes: > On Tue, 8 Sep 2020, Martin Maechler wrote: >>>>>>> Martin Maechler >>>>>>> on Tue, 8 Sep 2020 10:40:24 +0200 writes: >> >>>>>>> Hugh Parsonage >>>>>>> on Tue, 8 Sep 2020

This is a follow-up to a query that was posted regarding some problems that emerge when running anova analyses for cox models, posted by Mathias Gondan: Matthias Gondan wrote: >* Dear List,*>**>* I have tried a stratified Cox Regression, it is working fine, except for*>* the "Anova"-Tests:*>**>* Here the commands (should work out of the box):*>**>*

Ian, this one is special just for you. I''m sending it as an attachment because my email client will mangle it. This patch will remove the cmake dependency from xen prior to autoconf stubdom This patch applies ontop of [VTPM v7 3/8] vtpm/vtpmmgr and required libs to stubdom/Makefile You can apply it to your tree by doing the following: git rebase -i <VTPM v7 3/8 revision>

I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2): $> R --vanilla x <- c(0L, -2e9:2e9) # > Segmentation fault Tried to reproduce on Linux but the above worked as expected. Not an issue merely with the length of the vector; for example, x <- rep_len(1:10, 1e10) works, though the altrep vector must be long to reproduce: x <- c(0L, -1e9:1e9) #ok Segmentation

Dear useRs I have uploaded a new package, gRain, for propability propagation in graphical independence networks; sometimes also called probabilistic expertsystems and Bayesian networks. Regards S?ren H?jsgaard _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

Dear useRs I have uploaded a new package, gRain, for propability propagation in graphical independence networks; sometimes also called probabilistic expertsystems and Bayesian networks. Regards S?ren H?jsgaard _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

Hi all, I have two questions 1 - I have the version 1.4.1 of R, and it doesn't have the 'agrep' function in the base library. Is there a way to make this funcion avaliable in R 1.4.1? I mean, how to 'copy' it from R 1.8.1 and 'paste' it in R 1.4.1? 2 - The AGREP function doesn't give me the Levenshtein distance (edit distance). Is there a function in R that does

Hi, Before I reinvent the wheel I wanted to kindly ask you for your opinion if there is a simple way to do it. I want to merge a larger number of tables from different data sources in R and the matching criterium are country names. The tables are of different size and sometimes the country names do differ slightly. Has anyone done this or any recommendation on what commands I

Dear list, I have somewhat a small problem with a plot in R. I want to produce a plot with the two axis intersection being the exact values of ( 5,6). The code i am using is" BN<-c(14.95,9.03,10.42,9.3,9.52,7.73,6.35,6.73,5.54,5.42,6.24,5.98,6.21,5.83,7.14,5.79,5.57,7.43,9.19,10.17,9.79,9.56,9.87,9.33,10.56,10.08,9.49,8.49,7.34,6.14,5.98,7.27,5.56,

>>>>> Hugh Parsonage >>>>> on Tue, 8 Sep 2020 18:08:11 +1000 writes: > I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2): > $> R --vanilla > x <- c(0L, -2e9:2e9) > # > Segmentation fault > Tried to reproduce on Linux but the above worked as expected. Not an > issue merely with the length of

Good news/Bad News The test race in RHEL 3.4 seems to be gone ... but another ec.h failure ... Using http://www.mindrot.org/openssh_snap/openssh-SNAP-20140827.tar.gz OS Build_Target CC OpenSSL BUILD TEST ============== =========================== ================ ============= ====== ================= *RHEL 3.4 i386-redhat-linux gcc

http://bugzilla.mindrot.org/show_bug.cgi?id=462 markus at openbsd.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |RESOLVED Resolution| |INVALID ------- Additional Comments From markus at openbsd.org 2003-01-02

Thanks Martin. On further testing, it seems that the segmentation fault can only occur when the amount of obtainable memory is sufficiently high. On my machine (admittedly with other processes running): $ R --vanilla --max-mem-size=30G -e "x <- c(0L, -2e9:2e9)" Segmentation fault $ R --vanilla --max-mem-size=29G -e "x <- c(0L, -2e9:2e9)" Error: cannot allocate vector

On Tue, 8 Sep 2020, Martin Maechler wrote: >>>>>> Martin Maechler >>>>>> on Tue, 8 Sep 2020 10:40:24 +0200 writes: > >>>>>> Hugh Parsonage >>>>>> on Tue, 8 Sep 2020 18:08:11 +1000 writes: > > >> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2): > > >> $> R