similar to: SPlus to R

Dear List Apologies for such a simple question: I have a vector of 738 elements, coded with values between 1 and 16 (but not containing 7, 10, 11 or 13) and wish to recode value 14 to 1, 4 to 2, 1 to 3, 2 to 4 and all other values to 5. I've been trying to use the replace function (in base) and %in%, but without success. Many thanks Roy

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

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.

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

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:

Here is my class class puppetconf { file { "/etc/puppet/puppetd.conf": mode => 644, owner => root, group => root, source => "puppet://puppet/cci/etc/puppet/puppetd.conf", notify => exec[puppet_restart] } file { "/etc/init.d/puppet": mode => 755, owner => root, group => root,

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 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?

From the first page of the NEWS file: (2016-04-29 r70564) isSymmetrix(m) is much faster for large asymmetric matrices m via pre-tests and a new option tol1 (with which strict back compatibility is possible but not the default). It probably should be isSymmetric -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size:

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. > >

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'

Full_Name: Wei Xu Version: 1.5.1 OS: WindowsME Submission from: (NULL) (63.215.238.92) The P-value for a two.sided test is not consistent with the confidence interval. For example, P-value=0.1372, but the 95% CI doesn't include the H0 value(1). > x [1] 0.80 0.83 1.89 1.04 1.45 1.38 1.91 1.64 0.73 1.46 > y [1] 1.15 0.88 0.90 0.74 1.21 >

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:

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

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

On Sun, Mar 27, 2016 at 7:42 AM, Geert Stappers via Syslinux <syslinux at zytor.com> wrote: > On Sun, Mar 27, 2016 at 10:10:01AM +0200, Patrick Masotta via Syslinux wrote: >> On Sun, Mar 27, 2016 at 01:06:54AM +0000, Gene Cumm via Syslinux wrote: >> > On Sunday, March 20, 2016 11:18 PM, Patrick Masotta via Syslinux <syslinux at zytor.com> wrote: >> > > I

Sent from my iPhone Begin forwarded message: > From: D Chen <dchenusa at yahoo.com> > Date: April 19, 2012 4:06:49 PM PDT > To: lists-dovecot <replies-lists-a1z2-dovecot at listmail.innovate.net> > Subject: Re: [Dovecot] IMAP SSL incoming test need help ! > Reply-To: D Chen <dchenusa at yahoo.com> > > Thanks for nice pointing out in my mail.log! >

Dear all, I am using my code the vgram.matrix of packets fields. I have around 500 matrices that I need to pass inside that function and then plot those results. Even though my system has 16 cores is quite clear that I am only using one of those. Would it be able to skip these 500 "tasks" to the 16 cores, with each processor having around 4 matrices to process? What would you suggest

I have these sql code in postgresql "SELECT * from convenios where id NOT IN (SELECT convenio_id from solicituds where usuario_id=?" but don''t find a way of used it in rails except find_by_sql. There is a another way?? class Usuario < ActiveRecord::Base belongs_to :persona has_many :solicituds, :dependent => :destroy has_many :convenios, :through =>