Hi Arun,
I am still facing trouble as I can see the data output is identical for
all rows when I am using this merge function. It seems that since in my
data2 which I have provided I have not given you the exact genes I have.
There are likely to be repeatations of ID in both the files but the pro
HI,
Assuming that "out_dat.txt" is the output you expected.
dat1<- read.table("data1.txt",header=TRUE,stringsAsFactors=FALSE)
dat2<- read.table("data2.txt",header=TRUE,stringsAsFactors=FALSE)
out_dat<- read.table("out_data.txt",header=TRUE,stringsAsFactors=FALSE)
out_dat2<-merge(dat1[,1:4],dat2
HI Arun,
My data sets are as in the provided files. I am providing the sample files.
I guess this will give a better idea to the type of working I want to do
with the two files and the kind or script am trying to write. Hope you can
give me some suggestions regarding this. I am new to R so having
Hi Vivek,
May be this helps:
set.seed(35)
dat1<- cbind(ID=1:8,
as.data.frame(matrix(sample(1:50,8*7,replace=TRUE),ncol=7)))
set.seed(38)
dat2<- cbind(ID= sample(1:20,8,replace=FALSE),
as.data.frame(matrix(sample(1:50,8*33,replace=TRUE),ncol=33)))
colnames(dat2)[-1]<-gsub("V","X",colnames(dat2)
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