Steven,
Just want to add a few things to what people wrote.
In base R, the methods mentioned will let you make a copy of your original DF
that is missing the items you are selecting that match your pattern.
That is fine.
For some purposes, you want to keep the original data.frame and remove a column
within it. You can do that in several ways but the simplest is something where
you sat the column to NULL as in:
mydata$NAME <- NULL
using the mydata["NAME"] notation can do that for you by using a loop of
unctional programming method that does that with all components of your grep.
R does have optimizations that make this less useful as a partial copy of a
data.frame retains common parts till things change.
For those who like to use the tidyverse, it comes with lots of tools that let
you select columns that start with or end with or contain some pattern and I
find that way easier.
-----Original Message-----
From: R-help <r-help-boun...@r-project.org> On Behalf Of Steven Yen
Sent: Saturday, January 14, 2023 7:49 AM
To: Andrew Simmons <akwsi...@gmail.com>
Cc: R-help Mailing List <r-help@r-project.org>
Subject: Re: [R] Removing variables from data frame with a wile card
Thanks to all. Very helpful.
Steven from iPhone
> On Jan 14, 2023, at 3:08 PM, Andrew Simmons <akwsi...@gmail.com> wrote:
>
> You'll want to use grep() or grepl(). By default, grep() uses
> extended regular expressions to find matches, but you can also use
> perl regular expressions and globbing (after converting to a regular
> expression).
> For example:
>
> grepl("^yr", colnames(mydata))
>
> will tell you which 'colnames' start with "yr". If you'd rather you
> use globbing:
>
> grepl(glob2rx("yr*"), colnames(mydata))
>
> Then you might write something like this to remove the columns starting with
> yr:
>
> mydata <- mydata[, !grepl("^yr", colnames(mydata)), drop = FALSE]
>
>> On Sat, Jan 14, 2023 at 1:56 AM Steven T. Yen <st...@ntu.edu.tw> wrote:
>>
>> I have a data frame containing variables "yr3",...,"yr28".
>>
>> How do I remove them with a wild card----something similar to "del yr*"
>> in Windows/doc? Thank you.
>>
>>> colnames(mydata)
>> [1] "year" "weight" "confeduc" "confothr" "college"
>> [6] ...
>> [41] "yr3" "yr4" "yr5" "yr6" "yr7"
>> [46] "yr8" "yr9" "yr10" "yr11" "yr12"
>> [51] "yr13" "yr14" "yr15" "yr16" "yr17"
>> [56] "yr18" "yr19" "yr20" "yr21" "yr22"
>> [61] "yr23" "yr24" "yr25" "yr26" "yr27"
>> [66] "yr28"...
>>
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