similar to: Reclassifying values within a vector to several other values

Dear R-help I have two separate experiments, one a repeated-measures design, the other a split-plot. In a standard ANOVA I have usually undertaken a multiple-comparison test on a significant factor with e.g TukeyHSD, but as I understand it such a test is inappropriate for repeated measures or split-plot designs. Is it therefore sensible to use Helmert contrasts for either of these designs?

Hello I'm very new to R (which is excellent), so apologies if this has already been raised. In the spdep package, I'm trying to undertake an autoregressive mixed model using the lagsarlm function. This is working fine, but there does not appear to be a method of including an explanatory variable without it automatically being included as a lagged term. I'm after something along the

Hi, for example one could do it this way: v <- summary(fit)$coefficients[,4] the coefficient attribute is a matrix, and with the "4" you refere to the pvalue (at least in lm - don't know if summary(glm) produces sligthely different output). to skip the intercept (1st row): v <- summary(glmfit)$coefficients[-1,4] hope this helps, Arne -- Arne Muller, Ph.D.

Hi I'm reading a CSV file using read.table, and it keeps importing a text variable as a factor. To overcome this, I've used the as.is command referring to the variable in question (called "stim") data<-read.table(file.choose(), header=T, sep=",", as.is = "stim") However, "stim" is still imported as a factor. I notice there are other read.table

Hi Everybody, I am a newbie in R. I have a data in the form of a matrix which I want to make some 3D plots using R. There is some functions for instance hist() for 2D plots, but I cant find any function for 3D plots. Is there any function available in R for 3D plots? If so, is there any documention available on internet so that I can go through. With regards, Soumyadeep

Hello I'm very much a beginner on meta-analysis, so apologies if this is a trivial posting. I've been sent a set data from separate experimental studies, Treatment and Control, but no measure of the variance of effect sizes, numbers of replicates etc. Instead, for each study, all I have is the mean value for the treatment and control (but not the SD). As far as I can tell, this forces

Hello everyone, (This is my second question posted today on the R list). I am carrying out a competing risks analysis using the cuminc function...this takes the form: cuminc(ftime,fstatus,group) In my study, fstatus has 3 different causes of failure (1,2,3) there are also censored cases (0). "group" has two levels (0 and 1). I therefore have 6 different cumulative incidence curves:

Dear Rgurus, To my knowledge the best way to visualize the distribution of a discrete variable X is plot(table(X)) The problem which I have is the following. I have to discrete variables X and Y which distribution I would like to compare. To overlay the distribution of Y with lines(table(Y)) gives not satisfying results. This is the same in case of using density or histogram. Hence, I am

Dear All, I am rather rusty with my R, but I recall being able to do something like plot(x1,...);plot(x2,add=TRUE,...) to plot two series on the same axes. Any suggestions how this may be done will be appreciated.

Hi I have submitted a package (rioja) to CRAN. It checks OK for all R versions and OS's except r-release-macosx-ix86 where it fails when checking the examples. Specifically, it fails because R can't find the package vegan which is needed in a function. Here is the snippet from the check results: ### Begin snippet checking examples ... ERROR Running examples in 'rioja-Ex.R'

Dear all, I am reading with R some measurements vectors from an external device. The length of each vector (containing numbers) is not constant. I would like by doubling the numbers of elements I select to shrink the vector to a new one Let's call the vector I read from the device as oldvector and the shrinked version of it as newVersion I want to have newVersion[1]<-

Hello, I'm compiling a collection of stories from the systems administrator trenches. They can be short or long, funny or about a particularly challenging problem or period, or even something that appeared very technically challenging and ended up being something very simple. Stories which are more political would be ok so long as they do not have an agenda or can be interpreted as a

I'm trying to convert an S-Plus program to R.  Since I'm a SAS programmer I'm not facile is either S-Plus or R, so I need some help.  All I did was convert the underscores in S-Plus to the assignment operator <-.  Here are the first few lines of the S-Plus file:   sshc _ function(rc, nc, d, method, alpha=0.05, power=0.8,              tol=0.01, tol1=.0001, tol2=.005, cc=c(.1,2),

Hello, I'm struggling with an elementary problem with R. I have a simple data frame such as this one giving the number of accidents subdivided by sex, age and region. sex age region no_of_accidents F young north 10 F young south 12 F old north 5 F old south 7 M young north 24 M

On 03.02.20 17:18, Alexander Duyck wrote: > On Mon, 2020-02-03 at 08:11 -0500, Michael S. Tsirkin wrote: >> On Thu, Jan 30, 2020 at 11:59:46AM -0800, Tyler Sanderson wrote: >>> >>> On Thu, Jan 30, 2020 at 7:31 AM Wang, Wei W <wei.w.wang at intel.com> wrote: >>> >>> On Thursday, January 30, 2020 11:03 PM, David Hildenbrand wrote: >>>

On 03.02.20 17:18, Alexander Duyck wrote: > On Mon, 2020-02-03 at 08:11 -0500, Michael S. Tsirkin wrote: >> On Thu, Jan 30, 2020 at 11:59:46AM -0800, Tyler Sanderson wrote: >>> >>> On Thu, Jan 30, 2020 at 7:31 AM Wang, Wei W <wei.w.wang at intel.com> wrote: >>> >>> On Thursday, January 30, 2020 11:03 PM, David Hildenbrand wrote: >>>

Hi, I am sorry for this simple question, but... How do I extract something from a data.frame? The following is my Problem: I have got a dataframe "a" with various columns. One of those columns is called V3 and contains elements of the following levels: > levels(a$V3) [1] "C" "CA" "CB" "CD" "CD1" "CD2"

( previous thread at http://www.syslinux.org/archives/2015-January/023050.html ) > > <info from="web interface mailman" extra_from="backend mailinglist software"> > dmarc_moderation_action Option > dmarc_moderation_action (privacy): Action to take when anyone posts > to the list from a domain with a DMARC Reject/Quarantine Policy. > >

On Mon, 8 Apr 2019, @lbutlr wrote: > Really? Where outside the Received headers do IPs appear in your email headers? Well, let's see. Running a rough grep on 270-message spam folder # grep -E '^[-A-Za-z0-9]+:.*[^.0-9]{0,1}[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}' ~/mail/FN | sort -u -k1,1 -t: Authentication-Results: spf=fail (sender IP is 52.233.28.167) List-Help:

> On Feb 3, 2020, at 2:50 PM, Nadav Amit <namit at vmware.com> wrote: > >> On Feb 3, 2020, at 8:34 AM, David Hildenbrand <david at redhat.com> wrote: >> >> On 03.02.20 17:18, Alexander Duyck wrote: >>> On Mon, 2020-02-03 at 08:11 -0500, Michael S. Tsirkin wrote: >>>> On Thu, Jan 30, 2020 at 11:59:46AM -0800, Tyler Sanderson wrote: