Hi,
I am getting this.
res <- lapply(seq_len(nrow(Y1)),function(i) {dat <-
data.frame(X=i,Y1=unlist(Y1[i,]),Y2=unlist(Y2[i,])); row.names(dat) <-
1:nrow(dat);
write.csv(dat,paste0("Anam",i,".csv"),row.names=FALSE,quote=FALSE)})
dat1 <- read.csv("Anam1.csv",header=TRUE)
dat1
X Y1 Y2
1 1
Hi Arun:
Thanks for your help. Seperate files are being created by concatenating the
rows from the two files but I was looking to have them as columns rather
than text. This is the way it appears in Excel with row # at the beginning.
X Y1 Y2
1 1 4 0 20 17 1 20 52 15 18
Ideally I would like it to
Hi,
May be this helps:
Y1 <- read.table(text="V1 V2 V3 V4
1 4 0 20 17
2 4 0 15 17
3 2 0 13 21",sep="",header=TRUE)
Y2 <- read.table(text="V1 V2 V3 V4
1 20 52 15 18
2 18 54 14 21
3 18 51 13 21",sep="",header=TRUE)
res <- lapply(seq_len(nrow(Y1)),function(i) {dat <-
data.frame(X=i,Y1=unlist(Y1[i,]
Hi:
I am looking for some help to manipulate data in R. I have two csv files.
datasetY1
V1 "V2" "V3" "V4"
1 4 0 20 17
2 4 0 15 17
3 2 0 13 21
datasetY2
V1 "V2" "V3" "V4"
1 20 52 15 18
2 18 54 14 21
3 18 51 13 21
I want to be able to create separate csv files by taking the corresponding
Hi:
Please provide a minimal reproducible example that resembles your real data
so that people can try it out and provide potential solutions for you. Show
what you tried that failed, and what you expect. A number of people on this
list are very adept in data summarization, but most of them are lo
If this has already been answered, my apologies in advance I am relatively
new to this aspect of [R]. it is a bit of a basic question.
I have 4 columns of data (site, Date, measurement type, value) in a tab
delimited text file. Site is a site where measurements were collected,
Date is a date i
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