Dear Rusers, My question is about "recode variables". First, i'd like to say something about the idea of recoding: My dataset have three variables:type,soiltem and airtem,which means grass type, soil temperature and air temperature. As we all known, the change of air temperature is greater than soil temperature,so the values in those two different temperaturemay represent different range. My recoding is to recode soiltem with 0.2 intervals, and airtem with 0.5 intervals, that is: In soiltem:0~0.2<-0.1, 0.2~0.4<-0.3, 0.4`0.6<-0.5,...etc; In airtem:0~0.5<-0.25, 0.5~1<-0.75, 1`1.5<-1.25,...etc; My example like this: type<-c(1, 1, 2, 3,4,1,1,4,3,2) soiltem<-c(19.2,18.6,19.5,19.8,19.6,20.6,19.1,18.7,22.4,21.6) airtem<-c(19.9,20.5,21.6,25.6,22.6,21.3,23.7,21.5,24.7,24.4) mydata<-data.frame(type,soiltem,airtem) #copy the above four arguments to generate the dataset mydata type soiltem airtem 1 1 19.2 19.9 2 1 18.6 20.5 3 2 19.5 21.6 4 3 19.8 25.6 5 4 19.6 22.6 6 1 20.6 21.3 7 1 19.1 23.7 8 4 18.7 21.5 9 3 22.4 24.7 10 2 21.6 24.4 Thanks very much! -- Kind Regards, Zhi Jie,Zhang ,PHD Department of Epidemiology School of Public Health Fudan University Tel:86-21-54237149
probably ?cut() is what you're looking for, e.g., something like:
ind <- cut(mydata$soiltem, seq(0, 60, 0.2), labels = FALSE)
seq(0.1, 60, 0.2)[ind]
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
Quoting zhijie zhang <epistat at gmail.com>:
> Dear Rusers,
> My question is about "recode variables". First, i'd like to
say
> something about the idea of recoding:
> My dataset have three variables:type,soiltem and airtem,which means
> grass type, soil temperature and air temperature. As we all known,
> the
> change of air temperature is greater than soil temperature,so the
> values in those two different temperaturemay represent different
> range.
> My recoding is to recode soiltem with 0.2 intervals, and airtem
> with
> 0.5 intervals, that is:
> In soiltem:0~0.2<-0.1, 0.2~0.4<-0.3, 0.4`0.6<-0.5,...etc;
> In airtem:0~0.5<-0.25, 0.5~1<-0.75, 1`1.5<-1.25,...etc;
> My example like this:
> type<-c(1, 1, 2, 3,4,1,1,4,3,2)
> soiltem<-c(19.2,18.6,19.5,19.8,19.6,20.6,19.1,18.7,22.4,21.6)
> airtem<-c(19.9,20.5,21.6,25.6,22.6,21.3,23.7,21.5,24.7,24.4)
> mydata<-data.frame(type,soiltem,airtem) #copy the above four
> arguments
> to generate the dataset
>
> mydata
> type soiltem airtem
> 1 1 19.2 19.9
> 2 1 18.6 20.5
> 3 2 19.5 21.6
> 4 3 19.8 25.6
> 5 4 19.6 22.6
> 6 1 20.6 21.3
> 7 1 19.1 23.7
> 8 4 18.7 21.5
> 9 3 22.4 24.7
> 10 2 21.6 24.4
>
> Thanks very much!
> --
> Kind Regards,
> Zhi Jie,Zhang ,PHD
> Department of Epidemiology
> School of Public Health
> Fudan University
> Tel:86-21-54237149
>
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> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html
>
>
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
I always use "recode" function (in the car packages) to recode variables.That works well and I like that function. 2006/7/2, zhijie zhang <epistat at gmail.com>:> Dear Rusers, > My question is about "recode variables". First, i'd like to say > something about the idea of recoding: > My dataset have three variables:type,soiltem and airtem,which means > grass type, soil temperature and air temperature. As we all known, the > change of air temperature is greater than soil temperature,so the > values in those two different temperaturemay represent different > range. > My recoding is to recode soiltem with 0.2 intervals, and airtem with > 0.5 intervals, that is: > In soiltem:0~0.2<-0.1, 0.2~0.4<-0.3, 0.4`0.6<-0.5,...etc; > In airtem:0~0.5<-0.25, 0.5~1<-0.75, 1`1.5<-1.25,...etc; > My example like this: > type<-c(1, 1, 2, 3,4,1,1,4,3,2) > soiltem<-c(19.2,18.6,19.5,19.8,19.6,20.6,19.1,18.7,22.4,21.6) > airtem<-c(19.9,20.5,21.6,25.6,22.6,21.3,23.7,21.5,24.7,24.4) > mydata<-data.frame(type,soiltem,airtem) #copy the above four arguments > to generate the dataset > > mydata > type soiltem airtem > 1 1 19.2 19.9 > 2 1 18.6 20.5 > 3 2 19.5 21.6 > 4 3 19.8 25.6 > 5 4 19.6 22.6 > 6 1 20.6 21.3 > 7 1 19.1 23.7 > 8 4 18.7 21.5 > 9 3 22.4 24.7 > 10 2 21.6 24.4 > > Thanks very much! > -- > Kind Regards, > Zhi Jie,Zhang ,PHD > Department of Epidemiology > School of Public Health > Fudan University > Tel:86-21-54237149 > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html >-- ?????? Department of Sociology Fudan University