[R] ifelse statement with two vectors of different length
arun
smartpink111 at yahoo.com
Wed Dec 18 16:18:38 CET 2013
Hi Adel,
If the problem is the spacing, then
library(stringr)
1*(long_df$country_name %in% str_trim(countrydiff))
# [1] 1 0 0 1 1 0 0 0 0 0
A.K.
Dear Arun
Thanks for your reply, it made me realize that the problem was
not in the code but in the levels() of the factors. Some countries had
some extra spacing which made the ifelse() function not work. So if I
modify your code (added space to countrydiff), it will then look
something like this:
countrydiff <- c("Albania ", "Algeria ", "Belarus ", "Canada ", "Germany ")
long_df <- data.frame(country_name = c("Algeria", "Guyana",
"Hungary", "Algeria", "Canada", "Iran", "Iran", "Norway","Uruguay",
"Zimbabwe") )
I had to use the gsub to fix this first.
Interestingly, the setdiff() function did not react on
spacing difference which I used before coming to the ifelse statement
and therefore I did not react on this in the first place
#no reaction from R on spacing diff.
setdiff(countrydiff, long_df$country_name)
Nevertheless, thanks again for being helpful!
Adel
On Wednesday, December 18, 2013 9:58 AM, Adel <adel.daoud at sociology.gu.se> wrote:
Dear list-members,
I have the following problem: I have a vector (countrydiff) with length 72
and another vector (long_df$country_name) which is about 12000 long.
Basically what I want to do is to if the factor level (or string name) in
long_df$country_name appears on the countrydiff, then long_df$povdat should
be equal to 1, if it does not appear on the countrydiff vector then
long_df$povdat should be equal to zero. I have tried different combinations
and read some. The following code should in my mind do it, but it doesn’t:
long_df$povdat<-ifelse(long_df$country_name == countrydiff, 1, 0)
long_df$povdat<-ifelse(long_df$country_name %in% countrydiff, 1, 0)
Additional information: the factor vector countrydiff contains unique
country names (Albania, Zimbabwe etc.), whereas long_df$country_name also
contains country names albeit not unique since it is in longform. The unique
names that appear in long_df$country_name is around 200.
Any suggestions?
Thanks in advance.
Best
Adel
--
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