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Thank you both very much! The codes are pretty slick and should greatly help me in my task. -- View this message in context: http://r.789695.n4.nabble.com/Writing-a-summary-file-in-R-tp3700031p3700382.html Sent from the...
Yes, that is the general objective. I'll look-into aggregates in R and see if anything helps. Thanks, a217 -- View this message in context: http://r.789695.n4.nabble.com/Writing-a-summary-file-in-R-tp3700031p3700071.html Sent...
Hello, I have an input file that contains multiple columns, but the column I'm concerned about looks like: "TR" 5 0 4 1 0 2 0 To count all of the rows in the column I know how to...
I have a dataframe in the general format: chr1 0.5 chr1 0 chr1 0.75 chr2 0 chr2 0 chr3 1 chr3 1 chr3 0.5 chr7 0.75 chr9 1 chr9 1 chr22 0.5 chr22 0.5...
Hello, I have a sample file: chr22 100 150 125 21 0.145 + chr22 200 300 212 13 0.05 + chr22 345 365 351 12 0.09 + chr22 500 750 510 15 0.10 + chr22 500 750 642 9 0...
Hello, I have an input file: http://r.789695.n4.nabble.com/file/n3700031/testOut.txt testOut.txt where col 1 is chromosome, column2 is start of region, column 3 is end of region, column 4 and 5 is base...
Just a very simple follow-up. In the summary table (listed as "summ" below), the "TR" column I would like to display the total number of rows (i.e. counts) which I have done via "NROW()" function. However, in the...
I actually have two questions regarding the same script: ################################################# data <- vector('list', 24) splc <- vector('list',24) df.summ <- vector('list',24) for (i in 1:length(chrData)) { data[[i]] <- read.table(file=paste('chr',i,'.nonCG.covered.out',sep...
Hello, I have an R script that I use as a template to perform a task for multiple files (in this case, multiple chromosomes). What I would like to do is to utilize a simple loop to parse through each...
I've been looking for how to change a certain percentage of values in a data frame, but I've been struggling to find information in R. For example: #################example data############## > data V1 V2 V3 V4 V5 V6 V7 1...
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