Try this.
dfsub <- df[df$deps %in% c("CC", "DD", "FF"), ]
names(dfsub) <- c("Subject", "newdate", "origdep")
final <- merge(df, dfsub)
Jean
On Wed, Aug 10, 2016 at 10:58 AM, Farnoosh Sheikhi via R-help <
r-help@r-project.org> wrote:
> blockquote, div.yahoo_quoted { margin-left: 0 !important; b
blockquote, div.yahoo_quoted { margin-left: 0 !important; border-left:1px
#715FFA solid !important; padding-left:1ex !important; background-color:white
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Hi
I have a data set like below and wanted to create a new date variable by
extracting the dates for specific departments.I wa
Getting the dates of the departments CC, DD, FF can be done with
subset(df, deps %in% c("CC", "DD", "FF"))
I am not sure how you intend to match these identified dates with other
departments? From your example you sometimes replace earlier dates,
sometimes later dates.
HTH
Ulrik
On Mon, 8 Aug 2
Hi there,
I have a data set like below and wanted to create a new date variable by
extracting the dates for specific departments.I want to extract the dates for
departments CC, DD, FF, put it in a new column and repeat it for other unique
IDs.
Subject<- c("2", "2", "2", "3", "3", "3", "4", "4"
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