similar to: Hmisc summarize() with level "" in by variable

When trying to update (various) packages using update.packages() I get the following error message for various packages package 'fBasics' successfully unpacked and MD5 sums checked Error in unpackPkg(foundpkgs[okp, 2L], foundpkgs[okp, 1L], lib) : malformed bundle DESCRIPTION file, no Contains field > This happens with other packages besides fBasics (Matrix, as well as others) and I

When trying to update (various) packages using update.packages() I get the following error message for various packages package 'fBasics' successfully unpacked and MD5 sums checked Error in unpackPkg(foundpkgs[okp, 2L], foundpkgs[okp, 1L], lib) : malformed bundle DESCRIPTION file, no Contains field > This happens with other packages besides fBasics (Matrix, as well as others)

I have submitted this as a bug (http://biostat.mc.vanderbilt.edu/trac/Hmisc/ticket/29) but I am wondering if anyone else has seen it or perhaps developed a workaround. I could certainly fix the LaTeX by hand, but I am using this inside Sweave, so it is a bit cumbersome. The exact same code used to work fine, but something changed underneath it. Even so, perhaps I am using the latex() command

Hi All, I'm using the Hmisc summarize function and used list instead of llist to provide the by variables. It generated an error message. Is this a bug, or do I misunderstand how Hmisc works with lists? The program below demonstrates the error message. Thanks, Bob x<-1:8 group <- c(1,1,1,1,2,2,2,2) gender<- c(1,2,1,2,1,2,1,2) mydata<-data.frame(x,group,gender)

Hi all, I'd like to use the Hmisc::summarize function, but it uses a function (FUN) of a single vector argument to create the statistical summaries. Consider an easy case: I'd like to compute the correlation between two variables in my dataframe, grouped according to other variables in the same dataframe. For exemple, consider the following dataframe D: V1 V2 V3 A 1 -1 A 1

Hi, I'm working on a data set that contains a couple of factors and a number of dependent variables. From all of these dependent variables I would like to calculate mean, standard deviation and quantiles. With the function FUN I get all the means and stdev that I want but quantiles are only calculated for the first of the dependent variables (column 8 in the summarize command). What do I

I want to make a 2x2 plot on a single page, using stripplot() and boxplot(). I tried the following two alternatives with mfrow() and layout(), but none of them worked. library(lattice) par(mfrow=c(2,2)) boxplot(X1 ~ Y, data=tst1, horizontal=T, las=1) boxplot(X2 ~ Y, data=tst1, horizontal=T, las=1) stripplot(Y ~ X1, data=tst1) stripplot(Y ~ X2, data=tst1) par(mfrow=c(1,1)) nf <-

I was messing around with some data in R and SAS (the reason is unimportant) fitting a multiple linear regression and got a curious discrepancy. The data set is too big to post, but if someone wants it, I can send it. So, here are the (partial) results: From R: Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 61.11434 1.48065 41.275 < 2e-16 *** sexWomen

Hi all, I'm looking for a function with the same functionalities as Hmisc::summarize but accepting a dataframe as input (not just a vector or a matrix). I'd like to compute the correlation between two variables in my dataframe, grouped according to other variables in the same dataframe. For exemple, consider the following dataframe D: V1 V2 V3 A 1 -1 A 1 1 A -1 -1

Hi All: I get the following error when trying to install the rjags package. I've installed the jags software and I'm using Fedora 10.0 and my sessionInfo is at the bottom of this email. I'm also sorry if this email ends up having control A's all over it. I still haven't figured how to fix that. Thanks. [1] "LOADING MASS LIBRARY" checking for

Howdy- I recently upgraded to R 2.9.1 and did the updates for all of my packages. A few of them now *suggest* the TZ variable to be set, which I did: > Sys.getenv("TZ") TZ "" > Sys.setenv(TZ="America/New_York") > Sys.getenv("TZ") TZ "America/New_York" Next up: library(RODBC) library(quantmod) channel <-

Hi, All I have a data frame as follows: > attach(mf) > names(mf) [1] "centre" "complex" "appl" "pool" "month" "alloc_gb" I want to summarize this as follows: agg<-summarize(alloc_gb,by=llist(centre,complex,appl,month),FUN=sum, na.rm=TRUE) That seems to run fine but there something odd about the output. The

Hello Again R Folk: I have found items about this in the archives, but I?m still not getting it right. I want to use ggplot2 with facet_grid inside a function with user specified variables, for instance: p <- ggplot(data, aes_string(x = fac1, y = res)) + facet_grid(. ~ fac2) Where data, fac1, fac2 and res are arguments to the function. I have tried p <- ggplot(data,

Hi all Each lxc container on node have mounted tmpfs for cgroups tree: [root-inside-lxc@tst1 ~]# mount | grep cgroups cgroup on /sys/fs/cgroup/cpu,cpuacct type cgroup (rw,nosuid,nodev,noexec,relatime,cpuacct,cpu) cgroup on /sys/fs/cgroup/cpuset type cgroup (rw,nosuid,nodev,noexec,relatime,cpuset) cgroup on /sys/fs/cgroup/memory type cgroup (rw,nosuid,nodev,noexec,relatime,memory) cgroup on

I compile these two lines in llc @tst1 = internal global [4 x i8] zeroinitializer; @tst2 = internal global [4 x i8] [i8 0, i8 1, i8 2, i8 3]; @tst1 is emited via MCStreamer::EmitCommonSymbol while the other is emited via MCStreamer::EmitLabel followed by MCStreamer::EmitBytes from what I can tell, only symbols with common linkage should me emitted by MCStreamer::EmitCommonSymbol, is this the

Hi, I seem to be facing a strange problem when I use Sweave for creating a LaTeX document of the R lme() output --- The EPS and PDF figure files get created, but are empty. I have attached a reproducible example below (taken from the R lme() help example). ------------------------------------------------------------------------------------ \documentclass[a4paper,10pt]{article}

On May 7, 2010, at 12:39 AM, Nathan Jeffords wrote: > On Fri, May 7, 2010 at 12:03 AM, Chris Lattner <clattner at apple.com> wrote: > > On May 6, 2010, at 10:01 PM, Nathan Jeffords wrote: > > > I compile these two lines in llc > > > > @tst1 = internal global [4 x i8] zeroinitializer; > > @tst2 = internal global [4 x i8] [i8 0, i8 1, i8 2, i8 3]; >

Hi folks, When I try to load package 'lme4' on my Linux box (64-bit Ubuntu 9.04), I get the following error: ------------------------------------- > library(lme4) Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'cholmod_start' not provided by package 'Matrix' Error: package/namespace load failed for 'lme4' ------------------------------------ I

Hi Everyone, I'm trying to write selfStart non-linear models for use with nls. In these models some combinations of parameter values are illegal; the function value is undefined. That's OK when calling the function directly [e.g. SSmodel(x, pars...)]; I return an appropriate non-value such as NA or Inf. However, when called from nls [e.g. nls(y~SSmodel(x, pars...), ...)] those

All the density estimators I've found in R seem to force the ends to go to zero. What can we do if we don't believe that, e.g., with something that might be a uniform distribution or a truncated normal with only observations above mu+sigma observed? The closest I could come to this was to artificially extend the numbers beyond the range, thereby forcing the density estimator