similar to: no visible binding for global variable

Hello, All, GWAF 1.2 R.Version() is below. system(lme.batch.imputed( phenfile = 'phenfile.csv', genfile = 'CARe_imputed_release.0.fhsR.gz', pedfile='pedfile.csv', phen='phen1', covar=c('covar1','covar2'), kinmat='imputed_fhs.kinship.RData', outfile='imputed.FHS.IBC.GWAF.LME.output.0.txt' )) Gives the error messages: Error in

I've been fighting a CMD check error for coxme this morning.?? I thought I had it fixed, but instead I had forgotton --as-cran on my last test run.? So the version just submitted to CRAN has warning messages in the log. I think it is an issue with CRAN.?? I've sent a message to R-devel asking for help.?? Since then, as a guess, I renamed my internal "ismat" function to

Dear R-helpers, I´m in the context of writing a general function for error propagation in R. There are somehow a few questions I would like to ask (discuss), as my statistical knowledge is somewhat restricted. Below is the function I wrote, the questions are marked. Many thanks in advance. propagate <- function(expr, varList, type = c("stat", "raw"), cov = TRUE) {

Dear developers I get some strange crashes when 'cairoDevice' and 'tcltk' are both loaded in the same R vanilla session. When executing the following in that order require(relimp) require(cairoDevice) showData (iris) I get a crash with the following message (see R-relimp-cairoDevice.txt): The program 'R' received an X Window System error. This probably reflects a bug in

Hi R users, I am getting the following error when using the splsda function in R v2.12.1: "Error in switch(classifier, logistic = { : EXPR must be a length 1 vector" What does this mean and how do I fix this? Thank you in advance! Best, Savi

Hello, I have been trying to write a small program to generate automatic plots. What I want is to draw boxplots for some variables in my data frame, contrasting with a variable called 'missing' that has value 1 if some variable in a concrete case has at least one missing value, in order to check if the cases that don't enter in my analysis are biased. The first attempt was to

I am currently using the relaimpo package to estimate the relative importance of regressors (N= 4000): > m1 <- lm(y ~ x1+x2+x3+x4+x5+, data=data) > calc.relimp(m1, rela=TRUE) > m2=boot.relimp(m1, boot = 500, rela=TRUE, type="lmg") > booteval.relimp(m2) > plot(booteval.relimp(m2)) In a new dataset with 3 measurement points (0,6,12 weeks), I want to perform a similar

libswfdec/swfdec_as_object.c | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) New commits: commit 429b50907703001fb58cf9840751844b0b8ea839 Author: Benjamin Otte <otte at gnome.org> Date: Thu Oct 25 16:22:12 2007 +0200 rework swfdec_as_object_decode() It used to unescape before looking for = or & signs Also, it had 2 memleaks I should probably

Hi I would like to write a script that reads a list of variable names. These variable names are some of the column headers in a data.frame. Then I want do a for-loop to execute various operations on the specified variables in the data.frame, but can't figure out how to do the necessary variable substitution. In bash (or C) I would use "$var", but there seems to be no equivalent in

Hi,I use the 'lmekin' model of the 'kinship' package of R in order to estimate heritability. I want to estimate the confidence interval of the variance coefficient and so I should use a bootstrap simulation. The pedigree file has 1386 subjects so I create a kinship matrix [1386*1386].This is the code of R I use: kfit2 <- lmekin(IT~1+AGE +(1|ID), dati1,

Working on the caret package has exposed me to the wide variety of approaches that different authors have taken to creating predictive modeling functions (aka machine learning)(aka pattern recognition). I suspect that many package authors are neophyte R users and are stumbling through the process of writing their first R package (or R code). As such, they may not have been exposed to some of the

I am trying to use Rcmdr 1.5_4 with R-2.11.1 (order to run to run the new version of misdist-0.5.3 which is built under R-2.11.1). however relimp is required for Rcmdr and the version of relimp_1.0.1 downloaded from CRAN will not work with the latest version of Rcmdr (I get error message telling me to reload it). Is there any way round this problem or will there be a new version relimp that is

Full_Name: Bernd Bischl Version: 2.8.1 OS: Windows XP Professional Submission from: (NULL) (129.217.207.95) Hi, there seems to be a small bug in formatC: formatC("foo", format="s", mode="charcacter") Error in formatC("foo", format = "s", mode = "charcacter") : 'mode' must be "double" ("real") or

libswfdec/swfdec_as_object.c | 20 +++++++++++++------- libswfdec/swfdec_audio.c | 2 +- libswfdec/swfdec_sound.c | 20 +++++++------------- libswfdec/swfdec_xml.c | 2 +- 4 files changed, 22 insertions(+), 22 deletions(-) New commits: commit cd8a1b3eb4192c51b5787f53071e17270b5d2cca Author: Pekka Lampila <pekka.lampila at iki.fi> Date: Wed Oct 31 12:08:50 2007

I am making the question clear. Please help. > Dear R experts > > I was using kinship package to fit mixed model with kinship matrix. > The package looks like lme4, but I could find a way to extract p-value > out of it. I need to extract is as I need to analyse large number of > variables (> 10000). > > Please help me: > > require(kinship) > > #Generating

Hello! I am trying test my observed data against the null-hypothesis that different items from a psychological questionnaire contribute equally to the metric dependent variable that measures problems (sum score of a questionnaire). That is, I am interested in relative strength of the predictors. Predictor items of the questionnaire are on a scale from 0-3, and technically ordinal, although most

Hi, I have a question related to the function "boot.relimp" (package relaimpo). I have a model with numerical predictors and one dummy (class) variable. I would like to calculate the relative importance of the predictors but I have some problems with the dummy variable. The name of the linear model is "lmbroadst.lc" and the dummy variable is "datacon.landcover_gb"

Hi I am new to R so I apologize if this is trivial. I am trying to predict the resistance or susceptibility of my sequences to a certain drug with a randomForest function from a file with amino acids on each of the positions in the protein. I ran the following: > library(randomForest) > > path <- "C:\\..." > path2 <- "..." > name <-

Hello, applying a function to a list of variables I face the following problem: Let's say I want to compute tables for several variables. I could write a command for every single table, like bravo<-c(1,1,2,3,5,5,5,);charly<-c(7,7,4,4,2,1) table(bravo); table(charly) > table(bravo); table(charly) bravo 1 2 3 5 2 1 1 3 charly 1 2 4 7 1 1 2 2 The results are two tables with the

We got some errors and eventually figured out that parallel::clusterExport second argument is "varlist" while in snow::clusterExport it is "list". The user had loaded parallel first, but did something else which inadvertently loaded snow, then clusterExport failed because we had "varlist" and not "list". Are these different on purpose? pj -- Paul E.