Can we do this very simply?
My understanding is that you have a column where all the elements are
zero except for perhaps a single one.
Consider an example 0 0 1 0 0 where you want -2 -1 0 1 2. This is 1 2
3 4 5 - 3.
> v <- c(0,0,1,0,0)
> w <- which(v == 1)
> a <- seq(along=v) - if (length(w) == 0
Thank you very much for your help!
All the best,
Faradj
> 3 okt. 2019 kl. 16:37 skrev Eric Berger :
>
> You can replace the last line in my first suggestion by the following two
> lines
>
> d <- 2014 # the default (set by the user)
> a$treatment <- sapply( 1:nrow(a), function(i) { b <- v[a$
You can replace the last line in my first suggestion by the following two
lines
d <- 2014 # the default (set by the user)
a$treatment <- sapply( 1:nrow(a), function(i) { b <- v[a$country_code[i]];
a$year[i] - ifelse(is.na(b),d,b)})
Best,
Eric
On Thu, Oct 3, 2019 at 5:19 PM Faradj Koliev wr
Hi,
I was thinking that it could simply show the negative counts. For ex: if a
country hasn’t introduced the policy X, and it's in the dataset from 1982 to
2014, then the treatment variable would take a value -33 in 1982 and -1 in
2014.
Best,
Faradj
> 3 okt. 2019 kl. 16:11 skrev Eric Ber
Hi Faradj,
What should the treatment variable be in those cases? If you want to set it
to a constant y (such as y=0), you can add something like
y <- 0
a$treatment[ is.na(a$treatment) ] <- y
HTH,
Eric
On Thu, Oct 3, 2019 at 4:54 PM Faradj Koliev wrote:
> Dear Eric,
>
> Thank you very much for
Dear Eric,
Thank you very much for this - it worked perfectly!
A small thing: I wonder whether it’s possible to include those cases where the
x is =0 for the whole study period. I have countries with x=0 for the whole
period and the treatment variable is=NA for these observations.
Best,
Fa
Hi Faradj,
Suppose your data frame is labeled 'a'. Then the following seems to do what
you want.
v <- rep(NA_integer_,max(a$country_code))
v[ a$country_code[a$x==1] ] <- a$year[a$x==1]
a$treatment <- sapply( 1:nrow(a), function(i) { a$year[i] -
v[a$country_code[i]]})
HTH,
Eric
On Thu, Oct 3, 20
Dear Michael Dewey,
Thanks for reaching out about this. I trying again, now with plain text, and
hope it works.
Best,
Faradj
Dear R-users,
I need an urgent help with the following: I have a country-year data covering
the period 1982 - 2013. I want to assess how the variable X (a certai
Dear Faradj
I am afraid your post is unreadable since this is a plain text list and
you sent in HTML.
Michael
On 03/10/2019 12:17, Faradj Koliev wrote:
Dear R-users,
I need an urgent help with the following: I have a country-year data covering
the period 1982 - 2013. I want to assess how t
Dear R-users,
I need an urgent help with the following: I have a country-year data covering
the period 1982 - 2013. I want to assess how the variable X (a certain policy)
affects the Y variable. The X variable is =1 when a country introduces that
policy in a specific year, otherwise =0.
What
10 matches
Mail list logo
