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?

Laurent: As I don't use dplyr, this won't help you, but I hope you and others may find it entertaining anyway. If I understand you correctly (and ignore this if I have not), there are a ton of ways to do this in base R, including using switch() along the lines you noted in your post. However, when the functions get sufficiently complicated or numerous, it may be useful to store them in a