similar to: Error propagation

I am using R on a Windows XP professional platform. The following code is part of a bigger one CODE press=function(y,x){ library(qpcR) models.press=numeric(0) cat("\n") dep=y print(dep) indep=log(x) print(indep) yfit=dep-PRESS(lm(dep~indep))[[2]] cat("\n yfit\n") print(yfit) yfit.orig=yfit presid=y-yfit.orig press=sum(presid^2)

Dear R-helpers, does anyone know of some package/function that can build a network from the functions that are implemented in a package, i.e. visualize the cross-references from one function to another in the same or some dependent package? An example would be a function like 'nls' on top of the hierarchy and then a network of nodes from the functions that are called within 'nls'

Hi all, I am wondering what people are doing for security when registering IP phone's remotely if you do not have the equipment to do a VPN tunnel at the remote site. The phone I would be working with mainly is the Polycom lineup. Thanks, Connor Spiess -------------- next part -------------- An HTML attachment was scrubbed... URL:

Ich werde au?er Haus sein von 18-06-99 Bis 28-06-99. Ich werde Ihre Nachrichten nach meiner R?ckkehr beantworten. Bitte wenden Sie sich in dringenden F?llen an: Frank R?seler, Tel: MON 3855 Uwe Spiess, Tel: MON 3743 Guido Zimmermann, Tel: MON 3962 Ferdinand Gro?, Tel: MON 2368 lieber Gru? Axel Hellmig

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

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

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,

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, 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.

Hi, I want to subset a data frame if one of the variables matches any in a list. I could of course do something like this: subset(dataset, var == 1 | var == 2 | var ==3) but that's tedious. I tried varlist = c(1,2,3,4) subset(dataset, any(var == varlist)) but it doesn't work because 'any' doesn't go row-by-row and hence always returns TRUE. Is there any simple way to do this?

Hi! I'm a recent convert from Stata, so forgive my ignorance. In Stata, I can write foreach loops (example below) foreach var of varlist p1-p14 { foreach y of varlist p15-p269 { reg `var' `y' } } It's looping p1-p15, p1-p16...., p1-p269, p2-p15, p2-p16,... p2-p269,... variable pairs. How can I write something similar in R? I 'tried' understanding the

Dear R users: I have been trying to figure out how to include string variables in a for loop to run multiple random forests with little success. The current code returns the following error: Error in trafo(data = data, numeric_trafo = numeric_trafo, factor_trafo = factor_trafo, : data class character is not supported In addition: Warning message: In storage.mode(RET@predict_trafo) <-

Commit-ID: 166a88f4568067378ddce23b91be7b4ec9a9dfb4 Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=166a88f4568067378ddce23b91be7b4ec9a9dfb4 Author: Herbert Xu <herbert at gondor.apana.org.au> AuthorDate: Sat, 19 May 2018 02:39:52 +0800 Committer: Ben Hutchings <ben at decadent.org.uk> CommitDate: Sat, 28 Mar 2020 21:42:55 +0000 [klibc] dash: eval: Add

Commit-ID: cbf6b9e61bc7e49b8863901ef0bf85483af5861f Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=cbf6b9e61bc7e49b8863901ef0bf85483af5861f Author: Herbert Xu <herbert at gondor.apana.org.au> AuthorDate: Sat, 19 May 2018 02:39:55 +0800 Committer: Ben Hutchings <ben at decadent.org.uk> CommitDate: Sat, 28 Mar 2020 21:42:55 +0000 [klibc] dash: eval: Replace

Hi,? I'm trying to obtain a table of coefficients and confidence intervals from a logistic regression analysis in R. My code is as follows: # read in csv file datafile<-read.csv("file.csv", row.names=1) # read in the variable list varlist<-names(datafile)[66:180] models<-lapply(varlist, function(x) {glm(substitute(outcome ~ i, list(i=as.name(x))), data=datafile, family =

Hello all I have what seems like a simple question but have not been able to find an answer on the forum. I'm trying to define a function which involves regression models and a large number of covariates. I would like the function to accept any number of covariates and, ideally, I would like to be able to enter the covariates in a group (e.g. as a list) rather than individually. Is there any