Phil,

this is exactly what do I want.

Thanks a lot.

--------------------------------------
Silvano Cesar da Costa
Departamento de Estatística
Universidade Estadual de Londrina
Fone: 3371-4346
--------------------------------------
----- Original Message ----- From: "Phil Spector" <spec...@stat.berkeley.edu>
To: "Silvano" <silv...@uel.br>
Cc: <r-help@r-project.org>
Sent: Wednesday, December 15, 2010 5:27 PM
Subject: Re: [R] subset


Silvano -
If you always have exactly one med1, one med2, and one med3 for each combination of Grupos, Dias, and Rato, you can use

aggregate(Esp.Inter.Trac~Grupos+Dias+ Rato,mean,data=x)
   Grupos Dias Rato Esp.Inter.Trac
1       C    3    1      100.55667
2     GFC    3    1       87.62333
3       C    3    2       80.37000
4     GFC    3    2      101.33000
5       C    3    3       66.97333
6     GFC    3    3      101.52667
7       C    3    4       84.84000
8     GFC    3    4      103.97333
9       C    3    5       76.99333
10    GFC    3    5      121.67000
11      C    3    6       70.78333
12    GFC    3    6       91.41000

If there are multiples of any of med1, med2, or med3 within
any of the combinations, it would be a little trickier:

one = aggregate(Esp.Inter.Trac~Grupos+Dias+Rato+blocos,mean,data=x) two = aggregate(Esp.Inter.Trac~Grupos+Dias+Rato,mean,data=one)

That would still assume there was at least one value for each of
med1, med2, and med3 for each combination.

 - Phil Spector
 Statistical Computing Facility
 Department of Statistics
 UC Berkeley
 spec...@stat.berkeley.edu


On Thu, 16 Dec 2010, Silvano wrote:

Hi,

I have a file, like below, and I want create a new data.frame with variables: Grupos Dias Rato Esp.Inter.Trac, but Esp.Inter.Trac will be the mean of
med1 med2 and med3 for each Rato.

How can I do this?


Grupos  Dias Rato blocos Esp.Inter.Trac
 GFC     3    1   med1          85.99
 GFC     3    2   med1         112.78
 GFC     3    3   med1         105.43
 GFC     3    4   med1          86.18
 GFC     3    5   med1         135.66
 GFC     3    6   med1          76.25
 GFC     3    1   med2          91.08
 GFC     3    2   med2         100.57
 GFC     3    3   med2         131.79
 GFC     3    4   med2         138.46
 GFC     3    5   med2         129.78
 GFC     3    6   med2         107.92
 GFC     3    1   med3          85.80
 GFC     3    2   med3          90.64
 GFC     3    3   med3          67.36
 GFC     3    4   med3          87.28
 GFC     3    5   med3          99.57
 GFC     3    6   med3          90.06
   C     3    1   med1          81.19
   C     3    2   med1          94.74
   C     3    3   med1          49.18
   C     3    4   med1         105.76
   C     3    5   med1          82.71
   C     3    6   med1          80.10
   C     3    1   med2         121.30
   C     3    2   med2          82.77
   C     3    3   med2          99.57
   C     3    4   med2          73.66
   C     3    5   med2          72.89
   C     3    6   med2          76.47
   C     3    1   med3          99.18
   C     3    2   med3          63.60
   C     3    3   med3          52.17
   C     3    4   med3          75.10
   C     3    5   med3          75.38
   C     3    6   med3          55.78

--------------------------------------
Silvano Cesar da Costa
Departamento de Estatística
Universidade Estadual de Londrina
Fone: 3371-4346

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