Dear Janka
If you supply a single number to the breaks parameter of cut I think it
is the number of intervals.
On 11/08/2015 13:57, Janka Vanschoenwinkel wrote:
Hi Thierry!
Thanks for your answer. I tried this, but I get this error:
"Error in cut.default(x, k2) : invalid number of intervals"
Which is strange because I am not specifying intervals, but the number at
where the sample has to be cut?
Greetings from Belgium! :-)
2015-08-11 14:52 GMT+02:00 Thierry Onkelinx <thierry.onkel...@inbo.be>:
Dear Janka,
You loop goes for 0 to 100. It should probably go from 1:99
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
2015-08-11 14:38 GMT+02:00 Janka Vanschoenwinkel <
janka.vanschoenwin...@uhasselt.be>:
Dear list members,
I have a loop where I want to do several calculations for different
samples
and save the results for each sample. These samples are for each loop
different. I want to use the "i" in the loop to cut the samples.
So for instance:
- In loop 1 (i=1), I have a sample from 0-1 and a sample from 1-100.
- In loop 2 (i=2), I have a sample from 0-2 and a sample from 2-100.
- In loop 99 (i=99), I have a sample from 0-99 and a sample from
99-100.
I built the following function, but there is *a problem with the cut2
function* since it doesn't recognize the "i". Outside the lapply loop it
works, but not inside the loop.
Could somebody please help me with this problem? Thanks a lot!
d=data.frame(MEt_Rainfed=rep(0,100),MEp_Rainfed=rep(0,100),MEt_Irrigation=rep(0,100),MEp_Irrigation=rep(0,100))
o<-lapply(0:100, function(i){
Alldata$irri=cut2(Alldata$irrigation,i)
levels(Alldata$irri)<-c("0","1")
Alldata_Rainfed<-subset(Alldata, irri == 0)
Alldata_Irrigation<-subset(Alldata, irri == 1)
#calculations per sample, then store all the values per i and per
variable in a dataframe: (the calculations are not shown in this example)
d[i, ] = c(MEt_Rainfed,MEp_Rainfed,MEt_Irrigation,MEp_Irrigation)
})
out<-as.data.frame(do.call(rbind, o))
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