[R] how to merge these dataframes
Prof Brian Ripley
ripley at stats.ox.ac.uk
Wed Nov 22 09:52:20 CET 2006
merge() merges *two* data frames, as is very clearly stated on its help
page. In your first version, j3 is matching by.x (and the second is
wrong, as j does not exist and names() applies to an object).
You can do
j4 <- merge(j1, j2, by="Var1", all=TRUE)
j5 <- merge(j4, j3, all=TRUE)
j5
Var1 Freq.x Freq.y Freq
1 1988-01-13 1 1 1
2 1988-01-16 1 1 1
3 1988-01-20 3 3 3
4 1988-01-25 2 2 2
5 1988-01-30 1 1 1
6 1988-02-01 5 4 4
7 1988-02-08 4 4 4
8 1988-02-14 1 NA NA
9 1988-02-16 1 1 1
10 1988-02-18 4 4 4
11 1988-02-24 NA 2 NA
12 1988-03-04 NA 1 NA
13 1988-03-07 NA 1 NA
(or omit all=TRUE if you only want columns which are in all 3 data
frames).
On Wed, 22 Nov 2006, antonio rodriguez wrote:
> Hi,
>
> Having 3 dataframes with different row numbers, but equal column names
> (see below) I want to merge them by Var1 so I've tried:
>
> merge(j1,j2,j3,by="Var1")
> merge(j,j1,j2,by=names("Var1"))
>
> But always got the same message:
>
> Erro en fix.by(by.x, x) : 'by' must specify column(s) as numbers, names
> or logical
>
> What I'm doing wrong?
>
> Thanks,
>
> Antonio
>
>
> j1
>
> Var1 Freq
> 1 1988-01-13 1
> 2 1988-01-16 1
> 3 1988-01-20 3
> 4 1988-01-25 2
> 5 1988-01-30 1
> 6 1988-02-01 5
> 7 1988-02-08 4
> 8 1988-02-14 1
> 9 1988-02-16 1
> 10 1988-02-18 4
>
> j2
>
> Var1 Freq
> 1 1988-01-13 1
> 2 1988-01-16 1
> 3 1988-01-20 3
> 4 1988-01-25 2
> 5 1988-01-30 1
> 6 1988-02-01 4
> 7 1988-02-08 4
> 8 1988-02-16 1
> 9 1988-02-18 4
> 10 1988-02-24 2
> 11 1988-03-04 1
> 12 1988-03-07 1
>
> j3
> Var1 Freq
> 1 1988-01-13 1
> 2 1988-01-16 1
> 3 1988-01-20 3
> 4 1988-01-25 2
> 5 1988-01-30 1
> 6 1988-02-01 4
> 7 1988-02-08 4
> 8 1988-02-16 1
> 9 1988-02-18 4
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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