similar to: Any method to speed up this problem?

Hi, I have the following function: > kurtosis <-function(x) (mean((x-mean(x))^4))/(sd(x)^4) #x is a vector and data > print(mydata) V1 V2 V3 V4 V5 1 1007_s_at DDR1 2865.1 2901.3 1978.3 2 1053_at RFC2 103.6 81.6 108.0 3

Hi, i have two files (file1.txt and file2.txt) which i would like to merge, based on certain criteria, i.e. it combines data based on matching geneID and exons. i have used the merge option, but it does not give me the desired outcome. merged.txt shows the result i would like. *File1. txt* ** AffyProbe ProbeType Flag GeneSymbol GeneID Exons Chrom Strand Affytart AffyEnd 1

Dear experts, I try not to trouble the list again after this question. I want to print this vector into a file > myvec [1] --Control --Control --Control --Control --Control HBA2 HBA1 [8] HBA1 --Control HBB --Control HBB HBA1 MBP [15] --Control HBA1 HBA2 HBB PTGDS GAPDH UBC [22] --Control GAPDH TPT1 HUWE1 PRM1 CKM

Hello R-help. I am trying to make a stacked barplot where the color of the sections of each bar depend on another variable. > myData[1:11,] score percent marker cellType Malignant 1 0 100.00000 ESR1 (ER) Bladder.M(5) TRUE 2 0 80.00000 PAX8 Bladder.M(5) TRUE 3 1 20.00000 PAX8 Bladder.M(5) TRUE 4 0 100.00000 ESR1 (ER) Brain.N(3) FALSE 5 0

Hi, I have the following data frame: > print(mydatframe) __DATAFRAME__ V1 V2 V3 1 1007_s_at DDR1 discoidin domain receptor tyrosine kinase 1 2 1053_at RFC2 replication factor C (activator 1) 2, 40kDa 3 117_at HSPA6 heat shock 70kDa protein 6 (HSP70B') __END__ Is there a way to create a hash with V2 as Key and V3 as its value? - Gundala Viswanath Jakarta - Indonesia

Hi, i have two files (file1.txt and file2.txt) which i would like to merge, based on certain criteria, i.e. it combines data based on matching geneID and exons. i have used the merge option, but it does not give me the desired outcome. merged.txt shows the result i would like. *File1. txt* ** AffyProbe ProbeType Flag GeneSymbol GeneID Exons Chrom Strand Affytart AffyEnd 1

Dear R-helper: Suppose we have a matrix: Gene sample1 sample2 Gcnt1 12.0000 52.80000 Max 8.8000 39.10000 Tmem176b 67.9000 304.70000 Shmt2 8.6000 42.40000 Rtn4 11.5000 57.70000 Il17re 7.6000 38.80000 Bclp2 6.2000 32.10000 Mobkl3 4.4000 32.20000 Akr1b10 3.4000 30.10000

Hi, I have the following data file to be parsed and captured as a data frame: __DATA__ #GDS_ID GENE_NAME GENE_DESCRIPTION GENE_FUNCTION 1007_s_at | DDR1 | discoidin domain receptor tyrosine kinase 1 | protein-coding 1053_at | RFC2 | replication factor C (activator 1) 2, 40kDa | protein-coding 117_at | HSPA6 | heat shock 70kDa protein 6 (HSP70B') | protein-coding __END__ In particular it is

Suggestions: Zembla - It's a fictional northern European country in "Pale Fire" by Nabokov. Pala - The island utopia in Aldos Huxley's "Island". Thra - The world of The Dark Crystal. -bw

Invictus - unconquerable, and Invictus.org doesn't appear to exist. On Apr 12, 2007, at 1:34 AM, Bill Wendling wrote: > Suggestions: > > Zembla - It's a fictional northern European country in "Pale Fire" > by Nabokov. > Pala - The island utopia in Aldos Huxley's "Island". > Thra - The world of The Dark Crystal. > > -bw >

Hi list, I have a question about using *read.table()* to read in a txt file. Basically, it consists of 16346 rows, 6 columns (no header). The code I used is: exprSet <- read.table('process_all4_GSA2.txt', row.names = 1,header =FALSE) and I got an error message: > exprSet <- read.table('process_all4_GSA2.txt', row.names = 1,header =FALSE) Error in

Dear list members, I am analysing my microarray data using limma package. Now I encounter several problems. Looking forward to your suggestions! Question 1: During the process of background correction using method="normexp", four warning messages appeared as "NaNs produced in: log(x)" (as you can see in the program posted below). What does that mean? How will it effect the