On Thu, Jul 22, 2010 at 5:18 AM, Christian Schoder
wrote:
> Dear R-user,
>
> a few weeks ago I consulted the list-serve with a similar question.
> However, my task changed a little but sufficiently to get lost again. So
> I would appreciate any help on the following issue.
>
> I use the plm packag
try this:
Dat <- read.table(textConnection(
"id year y z
1 a 2000 1 1
2 b 2000 NA 2
3 b 2001 3 3
4 c 1999 1 1
5 c 2000 2 2
6 c 2001 4 NA
7 c 2002 5 4
8 d 1998 6 5
9 d 1999 5 NA
10 d 2000 6 6
11 d 2001 7 7
12 d 2002 3 6"
), header = TRUE)
closeAllConnect
One option:
/## Your data:/
data <- structure(list(id = structure(c(1L, 2L, 2L, 3L, 3L, 3L, 3L, 4L,
4L, 4L, 4L, 4L), .Label = c("a", "b", "c", "d"), class = "factor"),
year = c(2000L, 2000L, 2001L, 1999L, 2000L, 2001L, 2002L,
1998L, 1999L, 2000L, 2001L, 2002L), y = c(1L, NA, 3L, 1L,
Am 22.07.2010 11:18, schrieb Christian Schoder:
> I use the plm package and work with firm-level data in a panel. I would
> like to eliminate all firms that do not fulfill the requirement of
> having an observation in every variable used for at least x consecutive
> years.
There are probably mor
Dear R-user,
a few weeks ago I consulted the list-serve with a similar question.
However, my task changed a little but sufficiently to get lost again. So
I would appreciate any help on the following issue.
I use the plm package and work with firm-level data in a panel. I would
like to eliminate a
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