Depending what you're doing with the data, you might want
colClasses=c("factor","numeric")
On 05/09/2013 13:58, Joshua Wiley wrote:
Hi,
You can either manually specify colClasses or the asis argument. See
?read.csv for more details.
If you just had those two columns, something like:
read.table(header = TRUE, text = "
sex group
F 1
T 2
", colClasses = c("character", "integer"))
Cheers,
Josh
read.csv("file.csv", colClasses = c("character", "integer"))
On Thu, Sep 5, 2013 at 5:44 AM, Venkata Kirankumar
<kiran4u2...@gmail.com> wrote:
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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