similar to: 'Record' row values every time the binary value in a collumn changes

Hi All, I want to provide a solution that presents code coverage reports that include the aggregated code-counts across many binaries. Our test engineers currently do this using gcov-mode by merged .gcda data files. We can do a similar merge of the .profraw files, so that the many binaries are represented in one .profdata file; However, llvm-cov will only generate reports based on one binary at

I have a matrix 700x2000 which is sampled in each cycle from another matrix 788x2000 with the numbers 0,1 and 9 There is one specific collumn of this matrix, dart[,1977], that usually, after the samplimg procedure has only 1 and 9 (because the zero frequency in this collumn is low). However, when this happens, I want to include an IF conditional in my code. so basically what i wanted to do was to

Hi experts, I am trying to write a very flexible method that allows me to add a new column to an existing data frame. This is what I have so far: add.column <- function(df, new.col, name) { n.row <- dim(df)[1] length(new.col) <- n.row names(new.col) <- name return(cbind(df, new.col)) } df <- NULL df <- data.frame(a=c(1,2,3)) df # corect: added NA to new collumn df <-

Dear all, I am attempting to export my results (data.frame) created with the help of a number of you to Excel. In the procedure my column structure is however lost and all results are placed together into the first Excel column. I have tried: write(), write.table(), write.matrix(), export() and have the same results. I Have checked the import/export FAQ and did a Google search to no avail. Any

> chromosomes id refseq name length 1 0 NC_000001.9 Homo sapiens chromosome 1 247249719 2 1 NC_000002.10 Homo sapiens chromosome 2 242951149 3 2 NC_000003.10 Homo sapiens chromosome 3 199501827 4 3 NC_000004.10 Homo sapiens chromosome 4 191273063 5 4 NC_000005.8 Homo sapiens chromosome 5 180857866 6 5 NC_000006.10 Homo sapiens chromosome 6

Dear all. I need to draw a scatter plot of 23 chromosome copy numbers (y axes) against chromosome and physical location within each chromosome in one plot. The data matrix looks as below: chr location copy_num 1 118345 1.320118 1 3776202 1.133879 1 4798845 0.989997 1 5350951 1.100967 . more data here . . 2 118345 2.459119 2 157739 1.915919 2 1530065 1.924372 2

Dear All, I am newbie to R, and I wanted to plot a barplots with R and in such a way that It will also show me position which I can plot on the bar line. Here is my code that I am using to plot, > chromosome <- c(40.2, 35.6, 36.1, 29.6, 31, 29.6, 31, 29.4, 28.2, 23, 23, 28.2) >barplot (chromosome, col="purple", xlab="Oryza sativa Chromosomes", border = NA, space =

Hello, I have a list with gene names, fold changes (=expression level) and chromosomes. Names fold change chromosome hz 1.5 2 If I plot fold change versus chromosome (or vice versa): plot (ch, fc) I see only the chromosomes with numbers but not those with letter (x and y). What can I do? A second question: How can I add a single line in that plot at a certain

Dear R-Helpers, I am not very experienced in using lattice and I am still in the learning stage I have a data set which looks like this: (I have deleted a few lines in order to save space) Chromosome marker Marker.Name Distance 1 1 1 PeMm261 0.0000 2 1 2 Xtxp8 10.1013 .. 20 1 20 EbMi148 210.3099 21 1 21 Xtxp25

Hello, I'm writing some genetic simulations in R where I would like to place genes along a chromosome proportional to the density of markers in a given region. For example, a chromosome can be presented as a list of marker locations: Chr1<-c(0, 6.5, 17.5, 26.2, 30.5, 36.4, 44.8, 45.7, 47.8, 48.7, 49.2, 50.9, 52.9, 54.5, 56.5, 58.9, 61.2, 64.1) Where the numbers refer to the locations of

Dear all, Probably a very basic question but I need some help. I have a data frame (made by read.table from a text file) of microarray data, of which the first column is a factor and the rest of the columns are numeric. The factor column contains chromosome names, so values 1 through 22 plus X, Y and XY. The numeric columns contain positions or intensity measurements. What I need to do is

Hi, I would like to use xyplot to create a figure. Unfortunately, I cannot find documentation in xyplot to specify alternating the x-axis tick labels with the x-axis tick marks. I can do this with the regular R plot function as follows. #A small version of my data looks like this data<-data.frame(matrix(ncol=3,nrow=12)) data[,1]<-rep(c(1,2,3),c(4,4,4)) data[,2]<-rep(c(1,2,3,4),3)

Hi,     I want to use segChrom() method in tilingArray package. For that I need to create a probeAnno object. I could not find much much info by ?probeAnno. I need help in creating  probeAnno object. Snap shot of the file(.txt): chr1 2500014 2500038 + 0.232689943122845 chr1 2500039 2500063 + 2.60502410304227 chr1 2500062 2500086 + 0.0756595313279895 chr1 2500080 2500104 + 0.78574617788405 chr1

Hi, is there any package/function in Bioconductor that can do this: if given the chromosome positions of a fragment, find out all genes within, and with the information about which strand is the sense strand. And vice versa. Thanks a lot. ----- Appreciate your time & attention! -- View this message in context: http://www.nabble.com/list-genes-w-n-a-genomic-fragment-tp18331452p18331452.html

Dear colleagues, I've just come across a problem with the following command which is a part of the "metaOverview.R" code file provided as an monography- accompanying file at http://www.bioconductor.org/docs/mogr/metadata: ################################## R> hasChr <- eapply(GOTERM, function(x) + x[grep("chromosome", Term(x))]) Error in

Hi, I'm trying to make a chromosomal map in R by using the locus. I have a list of genes and their locus, and I want to visualise that so you can see if there are multiple genes on a specific place on a chromosome. A example of what I more or less want is below: http://www.nabble.com/file/p21474206/untitled.JPG untitled.JPG The genes and locus are here:

Hi All, I have an CBS segmentation algorithm output for 10 tumor samples each from 2 different tumors. Now, I am in an urgent need to assign gene (followed by all genes present) that belong to a particular segment after I removed all the CNVs from segment data. The format of the data is: Sample Chromosome Start End Num_Probes Segment_Mean Sample1A-TA 1 51598 76187 15

I have the following xyplot figure: http://img577.imageshack.us/img577/686/filesizeresults12000000.png The data are organized in a matrix file as follows: Type Elements Chromosome Time bedGz 12000000 chr1 14.240 bedGz 12000000 chr2 7.949 bedGz 12000000 chr3 5.103 bedGz 12000000 chr4 5.290 bedGz 12000000 chr5 5.161 ... The x-axis labels in the Chromosome column are ordered

Hi all, We are using two methods to identify SNPs. One is based on resequencing the genome and aligning the reads to the sequenced genome to identify SNPs (data available for 44 individuals). Another is based on SNP array with selected loci (30000 loci, 870 individuals). I want to compare the results from the resequencing based minor allele frequency and Array based minor allele frequency.

Dear R community, I need to plot the results of some simulations I did using QTL Cartographer. I am plotting LOD scores over three chromosomes. The three plot have to be one next to the other. The procedure I am using is: par(mfrow=c(1,3)) plot(x$x, x$y, ylim=c(0,35), type="l", col="blue", las=1, xaxs="i", yaxs="i", xlab="X Chromosome",