search for: rhelps

---------- Forwarded message ---------- From: <r-help-bounces@r-project.org> Date: Mon, May 11, 2009 at 10:24 PM Subject: The results of your email commands To: das.moumita.online@gmail.com The results of your email command are provided below. Attached is your original message. - Results: Ignoring non-text/plain MIME parts - Unprocessed: What is the function for partial

You are using the wrong make. Please read the instructions very carefully. You _must_ use the cygwin make with the supplied Makefiles. As INSTALL says: You will also need suitable versions of at least make, sh, rm, sed, (g)awk, mkdir, echo, cp, cut, diff, grep, egrep, pwd, expr and cat; we use those from the cygwin distribution (http://sourceware.cygnus.com/cygwin and several

You are using the wrong make. Please read the instructions very carefully. You _must_ use the cygwin make with the supplied Makefiles. As INSTALL says: You will also need suitable versions of at least make, sh, rm, sed, (g)awk, mkdir, echo, cp, cut, diff, grep, egrep, pwd, expr and cat; we use those from the cygwin distribution (http://sourceware.cygnus.com/cygwin and several

Hello, I am trying to run R on my Mac (OS10.5.6) and am having trouble installing and running packages (genefilter in particular in Bioconductor) I've tried re-installing R and it hasn't solved the issue. Thanks, ~Nicole Slusher

Dear List, With the R 2.12.0 addition of table methods for points(), dotchart() struggles with tables. I found several possible solutions, but it is beyond my skill to decide what is "best". Here is a small example: ############################################# x <- table(infert$education) y <- 1:3L dotchart(x) # error about incorrect plot type ## moving closer to the cause,

My search site, http://finzi.psych.upenn.edu, has had several problems recently, all my fault, for which I apologize. But it now seems to be running reliably, on a new computer that is much faster than the old one. It uses htdig to permit search of the Rhelp mailing list, R documents, R functions, and various combinations of these. Search has several options, including Boolean search (with AND,

Hello, I am trying to plot a quadratcount object over a ppp object in the spatstat package. I ultimately want to get something like this http://bg9.imslab.co.jp/Rhelp/R-2.4.0/src/library/spatstat/man/images/big_quadratcount_001.png http://bg9.imslab.co.jp/Rhelp/R-2.4.0/src/library/spatstat/man/images/big_quadratcount_001.png See

Dear all, dear Prof. Bates, my dependent variable (school absenteeism, truancy[1]) is a binary response for which I am trying to compute an unconditional mixed effects model. I've got observations (monday, wednesday and friday) nested in individuals (ID2), which were nested in classes (KID2) and schools (SID), i.e. a 4-level mixed effects model. In short, I was trying without success. I

Dirk Eddelbuettel <edd at debian.org> schreef: > On 13 May 2015 at 17:27, Jan van der Laan wrote: > | > | I have some cpp-files from another library (boost) in a subdirectory > | in my src directory (src/boost_src). I include these using the > | following two lines in my Makevars: > | > | SOURCES = $(wildcard *.cpp boost_src/*.cpp) > | OBJECTS = $(SOURCES:.cpp=.o)

Running R 1.8.1 on a Windows machine In dotchart, I would like to shrink the labels on the tick marks (that is, the numbers) without shrinking anything else. I could not find this in either the Rhelp archives or in ?dotchart, which recmmends cex to avoid 'label overlap', but cex shrinks all the characters in the plot. Is there a way to do this? Thanks Peter Peter L. Flom, PhD

Hello everybody-- I have been playing with my data in spatstat, and what I'd like to present is a basic exploratory spatial analysis. I have used the following code, using a ppp.object called tsdspoints. The code develops the simulations and the envelopes I want, but I don't understand my first plot here, the [tsds.ghat.short$r, tsds.ghat.short$raw]...I cobbled together this code

Gudday, I am generating a series of lattice contourplots that are conditioned on a variable (Year) that has 27 different levels. If I try and put them all on one plot, it ends up pretty messy and you can't really read anything, so instead I have set the layout to 3x3, thus generating three pages of nine plots each. The problem is that I can't display all these on screen at once, because

Hi all, I am trying to re-compile some "unmaintained" (it seems) packages, namely rSoNIA and dynamicnetwork from: http://csde.washington.edu/~skyebend/rsonia/rsoniaDemo/ These packages predates R 2.10.0 so they need to be recompile. After split the single big file in /man in each packages into a file for each function + some minor fix, I successfully manage to recompile and load

Dear Rhelp folks, I think I read this in recent Rhelp, but I can't find it in the archive. I need to know how to get lg2c in order to build the nlme package. I'm trying to install nlme_3.1-2.tar.gz on a Linux machine (6.1 Redhat) under R Version 0.99.0 (February 7, 2000). Thanks, Jim Jim Robison-Cox ____________ Department of Math Sciences | |

What happened to multiv package? I have installed R 2.0.0 in my Mac and I could not find this package. I see other things have been reorganized. I have read "What's New" and I have used the search facility in the RHelp panel to no avail. Oscar A. Moreno oscar.moreno at att.net

Readers, I have a data set as follows: 1,1 2,2 3,3 4,4 5,3 6,2 7,-10 8,-9 9,-3 10,2 11,3 12,4 13,5 14,4 15,3 16,2 17,1 I entered this data set using the command 'read.csv'. I want to exclude values fewer than zero in column 2 so then I tried the following command: boxplot.stats(x[>0,2],do.conf=FALSE) Error: syntax error, unexpected GT, expecting ',' in

m <- matrix(nrow=5, ncol=5) m <- ifelse(row(m)==col(m), 1, 0.2) c <- chol(m) # Choleski decomposition u <- matrix(rnorm(2000*5), ncol=5) uc <- u %*% c cr <- pnorm(uc) cr <- qbinom(cr,1,0.5) cor(cr) I expected that the cor(cr) to be 0.2 as i set in m, but the result is around 0.1. Why is that? Thanks -- View this message in context:

Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more "manual" approach to trimming outliers and/or "normalizing" data used in regression analysis?

Hi, I’m sorry, I know that it is a recurrent question but I have not been able to find the response in the Rhelp archives. I think my data require the use of the glmmPQL function but I do not know how to make the model selection. Since the AIC and log-likelihood are apparently meaningless, how can we select the parameters for a model and compare the models to find which one fits best the data?

Hi there, I want to generate different samples using the followindg code: g<-sample(LETTERS[1:2], 24, replace=T) How can I specify that I need 12 "A"s and 12 "B"s? Thank you, Judith ____________________________________________________________________________________ Be a better friend, newshound, and