Try this.
as.numeric(levels(fishdata$Age))[fishdata$Age]
HTH,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
[EMAIL PROTECTED]
www.inbo.be
Do not put your faith in what statistics say until you have carefully
considered what they do not say. ~William W. Watt
A statistical analysis, properly conducted, is a delicate dissection of
uncertainties, a surgery of suppositions. ~M.J.Moroney
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Namens Bill Szkotnicki
Verzonden: vrijdag 7 september 2007 21:10
Aan: r-help@stat.math.ethz.ch
Onderwerp: [R] aggregate factor
Hi,
I am using aggregate to compute means for later plotting.
There are two factors involved and the problem is that the
values of the second factor ( Age ) in the means are not in
the right order because 10 comes inbetween 1 and 2
What I really want is the numeric value of Age but as.numeric
and as.integer returns the level value instead.
Is there a way to easily get the numeric value?
I am using Windows R 2.5.1
Thanks,
str(fishdata)
'data.frame': 372 obs. of 6 variables:
$ Lake: Factor w/ 3 levels EVANS,JOLLIET,..: 3 3 3 3 3 3
3 3 3 3 ...
$ Age : int 1 1 1 1 1 1 1 1 1 1 ...
$ TL : int 132 120 125 115 130 120 115 110 117 116 ...
$ W : int 10 10 10 10 10 10 10 10 10 20 ...
$ Sex : Factor w/ 3 levels F,I,M: 1 1 2 2 2 1 1 1 2 2 ...
$ WT : num 0.23 0.23 0.23 0.23 0.23 0.23 0.23 0.23 0.23 0.23 ...
fishdatameans=aggregate(fishdata$TL, list(Lake =
fishdata$Lake, Age=fishdata$Age), mean)
# Now Age is a Factor but 10 is in the wrong position.
fishdatameans$Age
[1] 0 1 1 1 2 2 2 3 3 3 4 4 4 5 5 6 6 6 7 8 9 10
Levels: 0 1 10 2 3 4 5 6 7 8 9
as.numeric(fishdatameans$Age)
[1] 1 2 2 2 4 4 4 5 5 5 6 6 6 7 7 8 8 8 9
10 11 3
# What I want is 0 1 1 1 2 2 2 3 3 3 4 4
4 5 5
6 6 6 7 8 9 10
Bill
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and provide commented, minimal, self-contained, reproducible code.
