On 25.07.2013 21:05, vanessa van der vaart wrote:
Hi everybody,,
I have a question about R function duplicated(). I have spent days try to
figure this out,but I cant find any solution yet. I hope somebody can help
me..
this is my data:
subj=c(1,1,1,2,2,3,3,3,4,4)
response=c('sample','sample','buy','sample','buy','sample','
sample','buy','sample','buy')
product=c(1,2,3,2,2,3,2,1,1,4)
tt=data.frame(subj, response, product)
the data look like this:
subj response product
1 1 sample 1
2 1 sample 2
3 1 buy 3
4 2 sample 2
5 2 buy 2
6 3 sample 3
7 3 sample 2
8 3 buy 1
9 4 sample 1
10 4 buy 4
I want to create new column based on the value on response and product
column. if the value on product is duplicated, then the value on new column
is 1, otherwise is 0.
According to your description:
tt$newcolumn <- as.integer(duplicated(tt$product) & tt$response=="buy")
which is different from what you show us below, where I cannot derive
any systematic rule from.
Uwe Ligges
but I want to add conditional statement that the value on product column
will only be considered as duplicated if the value on response column is
'buy'.
for illustration, the table should look like this:
subj response product newcolumn
1 1 sample 1 0
2 1 sample 2 0
3 1 buy 3 0
4 2 sample 2 0
5 2 buy 2 0
6 3 sample 3 1
7 3 sample 2 1
8 3 buy 1 0
9 4 sample 1 1
10 4 buy 4 0
can somebody help me?
any help will be appreciated.
I am new in this mailing list, so forgive me in advance, If I did not ask
the question appropriately.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
