similar to: Windows/MAC difference (console)

Hi, I am analysing an experiment that has one fixed (6 conditions) and two random factors (11 subjects, 24 images in the conditions). I read somewhere else that you can also see such a design as a nested experiment with the hierarchy: subjects -> condition -> image. For some analysis I have one respond variable and for others I have more. The response variables are non-normally distributed.

Hi, SAS transport files created with the xport engine in SAS can be read using read.xport. However, the xport engine only works with SAS version 6, and consequently long variable names are not allowed... Can anyone tell me how to get SAS data (ver 8) into R (easily)? Thanks in advance S?ren H?jsgaard sorenh at agrsci.dk http://www.jbs.agrsci.dk/~sorenh

Dear all, I was trying to see how the function 'confint' is defined. Doing > confint function (object, parm, level = 0.95, ...) UseMethod("confint") <environment: namespace:stats> does not really enlighten me. How can I get to see the implementation (I guess it should be possible according to the general philosophy of the R project)? Thanks in advance S??ren

Dear all, In S+, there are functions like create.ole.object call.ole.method release.ole.object for communicating with other programs which work as a COM server (on Windows). Is it possible to do something similar in R (I've studied the 'connections' facilities, but they do not seem to work). ========================================== S?ren H?jsgaard, PhD, Senior Scientist

Hello, I have a data manipulation problem that I can easily resolve by using perl or python to pre-process the data, but I would prefer to do it directly in R. Given, for example: month length ratio monthly1 monthly2 1 Jan 23 0.1 9 6 2 Jan 45 0.2 9 6 3 Jan 16 0.3 9 6 4 Feb 14 0.2 1 9 5 Mar 98 0.4 2 2 6 Mar 02 0.6

This question comes up periodically, probably enough to give it a proper thread and maybe point to this thread for reference (similar to the 'conservative anova' thread not too long ago). Moving from lme syntax, which is the function found in the nlme package, to lmer syntax (found in lme4) is not too difficult. It is probably useful to first explain what the differences are between the

Tengo instalado el R2.9.0 y el TinnR 1.17.2.4 y cuando abro Tinn R no me detecta q el R este abierto por lo cual no me permite correr ningun programa, alguien sabe q puede estar pasando? Saludos -- José "... hoy el cambio cualitativo la liberacion, implica, cambios organicos, de instinto y biologicos, AL MISMO TIEMPO q cambios politicos y sociales" H. M. [[alternative HTML version

Dear all, In the SASmixed package there is an example of an analysis of a split-plot experiment. The model is fm1Semi <- lme( resistance ~ ET * position, data = Semiconductor, random = ~ 1 | Grp) where Grp in the Semiconductor dataset is defined as ET*Wafer. Is it possible to specify the grouping directly some way, e.g. like fm1Semi <- lme( resistance ~ ET * position, data =

>From time to time people request symbolic computations beyond what D() and deriv() etc can provide. A brief look at the internet shows that there are many more or less developed computer algebra packages freely available. Therefore, I wondered if it would be an idea to try to 'integrate' one of these packages in R, which I guess can be done in more or less elegant ways... I do not know

Why is the first for loop not equivalent to the second? Thanks, Rob =========================== for (GlobalVariable **i = Globals.begin(), **e = Globals.end(); i != e; ++i) { GlobalVariable *GV = *i; Constant *GEP = ConstantExpr::getGetElementPtr(...); GV->replaceAllUsesWith(GEP); } =========================== for (GlobalVariable **i = Globals.begin(), **e = Globals.end(); i != e;

Hello,   Could someone help me please and to tell how to get the probability from empirical DENSITY (not parametric) for each data value (R function). For example, for normal distribution there is such a function like:   “dnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)”   I need the same function only for the empirical DENSITY function (which does not correspond to any typical

Dear all I imported a Stata .dta file with the read.dta-function from the foreign-package. The dataframe's dimensions are > dim(d.apc) [1] 15806 1300 Importing needs up to 15 min and calculations with these data are rather slow (although I subset the data before starting analyses). My questions are: 1. Has someone experiences importing Stata files (alternatives to read.dta) ? 2.

Dear all, I am trying to install RCurl (because I want to install devtools) and to do so I've been informed that I must install one of the packages libcurl4-openssl-dev libcurl4-nss-dev No matter which one I install I get the following error from R: * installing *source* package ‘RCurl’ ... ** package ‘RCurl’ successfully unpacked and MD5 sums checked checking for curl-config...

Hello,   What function can I use for matrices addition? I couldn’t find any information about it in the manual or in the internet. (A+B suits, when the number of matrixes is small, function sum() doesn’t suit for matrices addition, because it sums all variables in the matrices and produces as an answer single number, not a matrix).   Best regards, Lina [[alternative HTML version

Hello, How do I import data from Excel onto R? I am using S-Plus Envstat module. I need to use some of the data that already exist in the Envstat and put it into R to make graphs, find basic informations like mean, median, standard deviation, etc. I have been reading the help links, but I don't see anything in reference to this. Please help me! -Maher Lina

Dear list! I have run into a problem that seems very simple but I can't find any solution to it (have searched the internet, help-files and "An introduction to R" etc without any luck). The problem is the following: I would like to create a data.frame with two components (columns), the first component being a matrix and the second component a vector. Whatever I have tried so far, I

On Mon, 3 Feb 2025 11:23:53 +0000 Liviu Dudau <liviu.dudau at arm.com> wrote: > On Mon, Feb 03, 2025 at 10:21:53AM +0100, Boris Brezillon wrote: > > +Akash with whom we've been discussing adding a 'REPEAT' mode to > > drm_gpuvm/panthor. > > > > On Sun, 2 Feb 2025 19:53:47 +0100 > > Danilo Krummrich <dakr at kernel.org> wrote: > >

Hi Lina, On Sun, Feb 02, 2025 at 10:34:49PM +0900, Asahi Lina wrote: > Some hardware requires dummy page mappings to efficiently implement > Vulkan sparse features. These mappings consist of the same physical > memory page, repeated for a large range of address space (e.g. 16GiB). > > Add support for this to drm_gpuvm. Currently, drm_gpuvm expects BO > ranges to correspond 1:1

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

> I think this is incorrect since the use_iterator is defined as: > > `typedef value_use_iterator<User> use_iterator;` > > and indeed `ui->getUser();` is not a callable function on a User. What am I > missing? Ah, looks like this has changed this year. What I said applies to trunk; you may be right there about 3.4 or earlier (looks plausible from the key commit).