Hi,
If the column is "numeric" class, you don't need
as.numeric(as.character(...)).? My response was based on your original post
"
I am analyzing two columns (both are factors):"
Using the same example,
indx1 <- with(dat1,year <=2007 |year >2012)
Warning messages:
1: In Ops.factor(year, 2007) : <= not meaningful for factors
2: In Ops.factor(year, 2012) : > not meaningful for
factors> indx1 [1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
If you didn't get this messages, probably the column is already
"numeric" class.
To avoid confusions (in the future), it is better to post a reproducible example
using ?dput()
A.K.
Thanks for your prompt response. The 'year' variable is already
numeric. Do we need to use 'as.numeric(as.character(year)) <=2007' ?
Can we not just use 'year<=2007' ?
On Thursday, April 17, 2014 5:27 AM, arun <smartpink111 at yahoo.com>
wrote:
Hi,
May be this helps:
set.seed(49)
dat1 <- data.frame(group=factor(sample(4,20,replace=TRUE)),
year=factor(sample(2003:2014,20,replace=TRUE)))
indx <- with(dat1, as.numeric(as.character(year)) <=2007 |
as.numeric(as.character(year)) >2012 )
with(dat1[!indx,],chisq.test(group,year))
A.K.
I am analyzing two columns (both are factors): group and year by chi-square
test: chisq.test(group,year) How can I exclude data (rows) where year is
<2007 or >2012 ?
Thanks for your help.