search for: tmpa

...s model is from the following: In 2.7.0: > library(KEGG.db) # Imports, Depends AnnotationDbi; KEGG.db is data-only > head(ls(KEGGPATHID2EXTID)) [1] "hsa00232" "hsa00230" "hsa04514" "hsa04010" "hsa04012" "hsa04150" vs. in a package tmpA with a NAMESPACE with Depend: and Imports: KEGG.db and in a new session of R > library(tmpA) > dokegg function () { require("KEGG.db") head(ls(KEGGPATHID2EXTID)) } <environment: namespace:tmpA> > dokegg() [1] "hsa00232" "hsa00230" "hsa0451...

I have encountered a problem with merge() that appears to be a bug. Here's an example to illustrate it. > tmp1 <- data.frame(a=letters[1:3],b=LETTERS[2:4],x=1:3) > tmpa <- expand.grid(a=letters[1:4],b=LETTERS[1:4]) > tmpm.1 <- merge(tmpa,tmp1) > tmpm.2 <- merge(tmp1,tmpa) Error in "names<-.default"(*tmp*, value = vnames) : names attribute must be the same length as the vector I'm using R 1.3.0, and it occurs on both the...

.... Anyway I don't believe that this is related to my errors but I mention it none the less. > files_to_test <- list.files (pattern = "kegg.combine") > for (i in 1:length (files_to_test)) { + raw_data <- read.table (files_to_test[i], header=TRUE, sep=" ") + tmpA <- raw_data[,compareA] + tmpB <- raw_data[,compareB] + tt <- t.test (tmpA, tmpB, var.equal=TRUE) + tt_pvalue[i] <- tt$p.value + } Error in tt_pvalue[i] <- tt$p.value : object 'tt_pvalue' not found # I tried setting up a vector... # as.vector(tt_pvalue, mode="any...

Dear R useRs, i have the following code to compute values needed for a contour plot ############################################################ "myContour" <- function(a, b, plist, veca, vecb, dim) { tmpb <- seq(0.5 * b, 1.5 * b, length=dim) tmpa <- seq(0.5 * a, 1.5 * a, length=dim) z <- matrix(0, nrow=dim, ncol=dim) for(i in 1:dim) { for(j in 1:dim) { z[i, j] <- posteriorPdf(a=tmpa[j], b=tmpb[i], plist=plist, veca=veca, vecb=vecb) } } } "posteriorPdf" <- fun...

I'd like to have two packages with S4 classes with the same name but different implementation. To that end I create a package tmpA with setClass("A", representation=representation( x="numeric"), sealed=TRUE) setClass("B", representation=representation( x="numeric")) B <- function(...) new("B", ...) and a NAMESPACE having onl...

...ly equivalent statements. ### array() is able to take a list and create a matrix. ### matrix() is unable to create that matrix. > vector("list", 2) [[1]] NULL [[2]] NULL > array(vector("list", 2), dim=c(2,1)) [,1] [1,] "NULL" [2,] "NULL" > tmpa <- array(vector("list", 2), dim=c(2,1)) > class(tmpa) NULL > is.array(tmpa) [1] TRUE > is.matrix(tmpa) [1] TRUE > tmpm <- matrix(vector("list", 2), nrow=2) Error in matrix(vector("list", 2), nrow = 2) : Unimplemented feature in copyVector >...

...vel list ( http://tolstoy.newcastle.edu.au/R/e4/devel/08/06/1901.html ), as I have encountered the exact same issue mentioned in Martin's email. Here is a simplified version of my problem: ##================================================================= ## I created a package, say, "tmpA", with a NAMESPACE with Depend: and Imports: org.Hs.eg.db and in a new session of R > library(tmpA) > foo function () { require("org.Hs.eg.db") get("A GO TERM", org.Hs.egGO2ALLEGS) } > foo() Error in as.environment(pos) : invalid object for 'as.en...

Dear R users, I am a beginner in R. I have 506 text files (data frame) in one folder namely DATA. The files are called A1 to A253 (253 files) and B1 to B253 (another 253 files). Each file has two columns; V1 (row number) and V2 (the value for each row name). Now I would like to add the values of V2 in each A-file with its relative value in B-file and save it as a new data frame named as C (e.g. C1

Boanerge: Lo reenvio a la lista con un nuevo asunto. --JIV ---------- Forwarded message ---------- From: boanerge salas muñoz <> Date: 2013/3/17 Subject: Re: [R-es] Histograma con muchos ceros. To: Jorge I Velez <> hola tengo un problema con rstudio. Deseo utilizar la sweave, pero tengo window. rstudio me dice que no encuentra el camino para compilar. Lo que he averiguado es

libvorbis does not currently have any simd/vectorization. Following patches add generic framework for simd/vectorization and on top, add ARM-NEON simd vectorization using intrinsics. I was able to get over 34% performance improvement on my Beaglebone Black which is single Cortex-A8 based CPU. You can find more information on metrics and procedure I used to measure at

I just want to encrypt a string submitted through a form before saving it to the DB. And then decrypt it again when I need to retrieve and use it. Im trying to use the OpenSSL::Cipher library. I have the following module for encryption/decryption [code] require ''openssl'' module AESCrypt # Decrypts a block of data (encrypted_data) given an encryption key # and an