Hello
First thank you very much to Jean, Bill, Brian and David for the answers and
code. I very extremely grateful.
I am eventually going to adapt Brian's code with a very minor alteration. If
one follows the original syntax
End <- merge(merge(Start, transformer, by.x="Left", by.y="
Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77840-4352
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Juan
Antonio Balbuena
Sent: Thursday, July 25, 2013 10:13 AM
To: r-help@r-project.org
Sub
On 7/25/2013 8:13 AM, Juan Antonio Balbuena wrote:
>
> Hello
> I hope that there is a simple solution to this apparently complex problem.
> Any help will be much appreciated:
> I have a dataframe with Left and Right readings (that is, elements in each
> row are paired). For inst
CO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of Juan Antonio Balbuena
> Sent: Thursday, July 25, 2013 8:13 AM
> To: r-help@r-project.org
> Subject: [R] transform dataframe with l
Perhaps this will help.
Jean
df <- structure(list(Left = c(9L, 4L, 2L, 6L, 3L, 4L, 3L, 4L, 10L, 9L),
Right = c(8L, 3L, 1L, 5L, 1L, 1L, 2L, 2L, 8L, 10L)),
.Names = c("Left", "Right"), class = "data.frame", row.names = 1:10)
lookup <- structure(list(input = c(5L, 10L, 4L, 8L, 6L, 5L, 7L, 2L, 9L,
Hello
I hope that there is a simple solution to this apparently complex problem.
Any help will be much appreciated:
I have a dataframe with Left and Right readings (that is, elements in each
row are paired). For instance,
Left Right
[1] 98
[2] 43
[3] 2
On Sun, 22 Apr 2012, David Studer wrote:
Hi everyone!
I have to following question: I have three items that had
to be ordered (e.g. three persons were rating var1 on the
first rank):
var1 var2 var3
123
213
132
123
Now I'd like to have the data.frame "the other
Hi everyone!
I have to following question: I have three items that had
to be ordered (e.g. three persons were rating var1 on the
first rank):
var1 var2 var3
123
213
132
123
Now I'd like to have the data.frame "the other way round", so that
the ranks are in the col
8 matches
Mail list logo