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Dear All, I wanted to extract the sizes of all created objects. For E.g when I created 2 objects(x and y), I got their sizes using the following code: > x<-rnorm(10000) > y<-runif(100,min=40,max=1000) > ls() [1] "x" "y" > object.size(x) 80024 bytes > object.size(y) 824 bytes However, I was unable to get their sizes when I used a for loop in the following

Dear R users, I'm starting to use 'apply' functions rather than for loops in R, and sometimes the output is a bit different than what I want. In this case, the command was tapply(myvector,myindex,cumsum) And the output was something like this: $`SNRL1 Core 120` [1] 2.8546 4.0778 5.2983 6.3863 7.5141 8.5498 9.5839 10.6933 $`SNRL1 Core 230` [1] 7.6810 8.7648 9.8382

Hi, I have created a barplot using the following code. a<-c(11,23,15,34,42,31) m<-matrix(a,nrow=2) m[2,]<-(-1)*m[2,] par(mar=c(4,4,4,0)) barplot(m[2,],horiz=T) par(mar=c(4,0,4,2)) barplot(m[1,],horiz=T,col="black") and the plot obtained is shown in "plot1.tiff". I was not willing to see the gap (vertical space) between two graphs. How can I achieve it? Further

Dear All, My main objective was to compute the distance of 100000 vectors from a set having 900 other vectors. I've a file named "seq_vec" containing 100000 records and 256 columns. While computing, the memory was not sufficient and resulted in error "cannot allocate vector of size 152.1Mb" So I've approached the problem in the following: Rather than reading the data

Dear All, I'm dealing with a case, where 'manhattan' distance of each of 100 vectors is calculated from 10000 other vectors. For achieving this, following 4 scenarios are tested: 1) scenario 1: > x<-read.table("query.vec") > v<-read.table("query.vec2") > d<-matrix(nrow=nrow(v),ncol=nrow(x)) > for (i in 1:nrow(v)){ + d[i,]<-