similar to: boxplot with "cut"

Thanks for your help, Rui! That works and will save me a lot of trouble. --Kelly -----Original Message----- From: Rui Barradas [mailto:ruipbarradas at sapo.pt] Sent: Tuesday, July 10, 2012 2:24 AM To: Vining, Kelly Cc: r-help at r-project.org Subject: Re: [R] boxplot with "cut" Hello, Maybe this iss what you're looking for. GD is your data.frame. multi.boxplot <-

Hi All Slightly lost on how should I pass values to a function I am calling using apply. apply( veh_drg_animal1[ , c("readCount","gene_length")] ,1, stats() ) here stats is a custom function where I want to pass two parameters from data frame as shown and a third argument which is constant per instance of apply. stats <- function ( arg1,agr2,agr3) { ## computation

Hi! I'd like to encode from a 22050 Hz source wav file (only in that case), but i get the following error message: "Invalid floating point operation" I use delphi: vorbis_encode_init_vbr(vi,2,22050,0.5) . . . While (i < readCount div 4) Do Begin buffer[0][i] := smallInt((pArray(@readbuffer)[i shl 2 + 1] shl 8) or pArray(@readbuffer)[i shl 2 + 0]) / 32768;

Hi! I have a problem. I hope, you can help me. I use a Delphi conversion (from Aleksandr Shamray), but it doesn't work when I'd like to convert a *.RAW into a mono *.ogg file. vorbis_encode_init_vbr(vi, 1, 44100, 0.5); //because of the mono the program stops at line: //* uninterleave samples */ . . buffer[1][i] := smallInt((pArray(@readbuffer)[i shl 2 + 3] shl 8) or

Hello R users. This is a fairly basic question: I am concatenating data from sets of files in a directory using a loop. The column names in all files are exactly the same. My understanding is that rbind takes column names from the first file it reads. However, my output is showing that the column names are treated as a first data row, not treated as headers. I compile my file names like this:

Thanks to both Weidong and David for the help! By implementing both of your suggestions I was able to make this work. I did end up putting header=TRUE for both read operations. --Kelly ________________________________________ From: David Winsemius [dwinsemius at comcast.net] Sent: Tuesday, August 30, 2011 1:16 PM To: Vining, Kelly Cc: Weidong Gu; r-help at r-project.org Subject: Re: [R] column

Dear R users, I am running the following code below, the gem751be.rpkm is a dataframe with dim of 751 samples by 35164 variables, 73 phenotypic variables in the furst to 73rd column and 35091 genomic variables or genes in the 74th to 35164th columns. What I need to do is to calculate the residuals for each gene using the simple linear regression model of genelist[i] ~ purity2; The following

Thanks to David and Jorge - both of your helpful suggestions got me to the desired endpoint. In case anyone else has this question: I boxplotted my y variable data, but did the "cut" operation on the x variable in order to conserve the order of the y data. I see another suggestion coming in from another user that basically says this. So, my working line of code was: boxplot(count$RPKM

Hello, I'm seeing three different vignette-related errors with recent versions of R-3.0.0 alpha. First, with the package BitSeq (http://bioconductor.org/packages/2.12/bioc/html/BitSeq.html), I get the following when trying to build the package: Error: processing vignette ?BitSeq.Rnw' failed with diagnostics: Failed to locate the ?weave? output file (by engine ?utils::Sweave?) for

Hello, The problem is that the factors are not orderd by the row number. If you want to check their order, use str(sortdata) and you'll see Santa-Rosa was attributed factor level 4 (in the output, first variable, the 3rd and 4th). Try the following. sortdata <- read.table(text=" county year x1 x2 x3 x4 x5 x6 x7 rank 141 Escambia 2002 6.50

Hi all, I have been struggling with this problem for a few days. I have a data table like this: gene rpkm1 diff1 rpkm2 diff2 gene1 23 50 13 120 gene2 111 220 827 1200 gene3 75 998 71 910 And I want to re-format it so that, for each gene, I have a 2x2 contingency table, such as: gene rpkm diff gene1 23 50 gene1 13 120 gene2 111 220 gene2 827

Hi all, In short: I'm running ddply on an admittedly (somehow) large data.frame (not that large). It runs fine until it finishes and gets to the "collating" part where all subsets of my data.frame have been summarized and they are being reassembled into the final summary data.frame (sorry, don't know the correct plyr terminology). During collation, my R workspace RAM usage goes

This is release 1.0-rc2 of Wine, a free implementation of Windows on Unix. What's new in this release (see below for details): - Bug fixes only, we are in code freeze. Because of lags created by using mirrors, this message may reach you before the release is available at the public sites. The sources will be available from the following locations:

Hi, R-help, I have a group of data from RNA-seq want to be analyzed by Fisher's exact test in R. I want to compare the significant difference of about 30,0000 individuals in two different samples, and I have no idea how to use R, so could you please give me some suggestions or the scripts for Fisher's exact test? Thank you very much. Best, Guanfeng Wang [[alternative HTML version

Thanks to those who sent in results for the 24 bit FLAC test I created. Results were received for Windows, Linux, and Intel Mac. All results showed the identical poor compression ratio with the given test file. This indicates that the issue is likely not related to a certain platform/compiler. I also tested FLAC with various other options like integer only and turning off ASM optimizations (to