Hi, Katherine,
IF the naming scheme of the columns of your data frame is consistently
<stringwithoutdot> and <stringwithoutdot.number> if duplicated columns
appear THEN (something like)
df[ -grep( "\\.", names( df))]
could help. (But it's maybe more efficient to avoid - a priori - producing
duplicated columns, if the data frame is large, as you say.)
Regards -- Gerrit
On Thu, 28 Mar 2013, Katherine Gobin wrote:
Dear R forum
Suppose I have a data.frame
df = data.frame(id = c(1:6), x = c(15, 21, 14, 21, 14, 38), y = c(36, 38, 55, 11, 5, 18), x.1 = c(15, 21, 14, 21, 14, 38), z =
c("D", "B", "A", "F", "H", "P"))
df
id x y x.1 z
1 1 15 36 15 D
2 2 21 38 21 B
3 3 14 55 14 A
4 4 21 11 21 F
5 5 14 5 14 H
6 6 38 18 38 P
Clearly columns x and x.1 are identical. In reality, I have a large data.frame
and can't make out which columns are identical, but I am sure that column with
name say x is repeated as x.1, x.2 etc.
How to automatically identify and retain only one column (in this example
column x) among the identical columns besides other non-identical columns (viz.
id, y and z).
Regards
Katherine
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