Hi What is the problem?
some comments in line > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Brian Willis > Sent: Wednesday, July 02, 2014 1:33 PM > To: r-help@r-project.org > Subject: Re: [R] Dataframes and text identifier columns > > Apologies I was trying to simplify the programme and missed out four > input files. The files on Andrew, Burt, Charlie and Dave have the same > format of one factor and 13 numeric variables with repeated > measurements eg. > Study v1 v2 v3 v4 v5 v6 v7 v8 v9 > v10 v11 > v12 v13 > A 153 4.0 2.00 2.00 145.00 0.67 0.01 49.00 0.34 > 0.04 > 0.96 -3.24 0.04 > B 96 33 3.0 13.0 47.0 0.9 0.2 4.2 0.1 > 0.5 0.5 > -0.7 -0.7 > > Inp_dat is > Case r p SE n > Andrew 0.03 0.01 0.0004 500 > Burt 0.08 0.111 0.04 50 > Charlie 0.04 0.022 0.0005 200 > Dave 0.2 0.028 0.006 85 > > out_put starts as empty data frame and rows are added incrementally one > for Andrew, one for Burt etc. > If the code is > Andrew<-read.csv("/File /Andrew.csv") > Burt<-read.csv("/File /Burt.csv") > Charlie<-read.csv("/File /Charlie.csv") > Dave<-read.csv("/File /Dave.csv") > > Inp_dat<- read.csv("/File/Input data.csv") > > > out_put<-data.frame(Case=character(), StdL=numeric(), StdPP=numeric(), > StdSE=numeric(), L=numeric(), MRPP=numeric(), MRSE=numeric(), > stringsAsFactors=FALSE) > > for(i in 1:4) > { > if (i==1) b<-Andrew > if (i==2) b<-Burt > if (i==3) b<-Charlie > if (i==4) b<-Dave ^^^^^^^^^^^^^^^^^ you do not use b in your further code so this is not necessary > > pr <- Inp_dat$p[i] > SE_pr <- Inp_dat$SE[i] > r<- Inp_dat$r[i] > n<- Inp_dat$n[i] > Case<- Inp_dat$Case[i] > … > > out_put[i,]<-data.frame(Case, stdL, stdPP, stdSE, L, PP, PP_SE) > > } > out_put > > Case StdL StdPP StdSE L > MRPP MRSE > 1 1 19.466823 0.16432300 0.03137456 26.002294 0.2080145 > 0.03804692 > 2 2 2.334130 0.22566939 0.08962662 5.095703 0.3888451 > 0.08399101 > 3 3 2.588678 0.05502765 0.00454159 42.058326 0.4861511 > 0.02128030 > 4 4 7.857898 0.18457822 0.04372297 4.705487 0.1193687 > 0.01921609 > > > > The Cases are labelled as integers 1 corresponding to Andrew, 2 > corresponding to Burt etc. instead of the intended text labels Andrew, > Burt, Charlie and Dave. If you want to change Case to labels just use out_put$Case <- factor(out_put$Case), labels(Inp_dat$Case)) Regards Petr > > Note all other columns are correct. Furthermore > > str(Case) > Factor w/ 4 levels "Andrew","Burt",..: 4 > > str(out_put) > > 'data.frame': 4 obs. of 7 variables: > $ Case : chr "1" "2" "3" "4" > $ StdL : num 19.47 2.33 2.59 7.86 > etc > > > I have tried changing the line > > Case<- Inp_dat$Case[i] > to > > Case<- levels(Inp_dat$Case)[i] > > and this gives the following output > > Case StdL StdPP StdSE L > MRPP MRSE > 1 1 19.466823 0.16432300 0.03137456 26.002294 0.2080145 > 0.03804692 > 2 1 2.334130 0.22566939 0.08962662 5.095703 0.3888451 > 0.08399101 > 3 1 2.588678 0.05502765 0.00454159 42.058326 0.4861511 > 0.02128030 > 4 1 7.857898 0.18457822 0.04372297 4.705487 0.1193687 > 0.01921609 > > str(Case) > > chr "Dave" > > and > > str(out_put) > > 'data.frame': 4 obs. of 7 variables: > $ Case : chr "1" "1" "1" "1" > $ StdL : num 19.47 2.33 2.59 7.86 > etc > > > I’ve also tried adding, as suggested the stringsAsFactors=FALSE to the > Inp_dat<- read.csv("/File/Input data.csv", stringsAsFactors=FALSE) > > This gives the same as the 2nd output above. > > > > > -- > View this message in context: http://r.789695.n4.nabble.com/Dataframes- > and-text-identifier-columns-tp4693184p4693389.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code. ________________________________ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. 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