Hi,
Try:
dat1<-read.table(text="
sex group
F 1
F 2
F 3
",sep="",header=TRUE,colClasses=c("character","numeric"))
dat1
# sex group
#1 F 1
#2 F 2
#3 F 3
#if you are using read.csv()
dat2<-read.csv("new1.csv",sep="",header=TRUE,colClasses=c("character","numeric"))
dat2
# sex group
#1 F 1
#2 F 2
#3 F 3
#Suppose you want to convert after reading it:
dat2New<-read.csv("new1.csv",sep="",header=TRUE)
dat2New[,1]<-substr(dat2New[,1],1,1)
dat2New
# sex group
#1 F 1
#2 F 2
#3 F 3
A.K.
Hi,
I have a peculier problem in R-Project that is when my CSV file have one
column with all values as 'F' the R-Project converting this 'F' to FALSE.
Can some one please suggest how to stop this convertion. Because I want to
use 'F' in my calculations and show it in screen. for example my data is
like
sex group
F 1
F 2
F 3
but when I use read.csv and load the csv file data is converting it to
sex group
FALSE 1
FALSE 2
FALSE 3
but i want it as source data like
sex group
F 1
F 2
F 3
Thanks in advance,
D V Kiran Kumar
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