[R] hi friends, is there any wait function in R

deepak m r deepaknbr at gmail.com
Tue Jul 14 14:58:48 CEST 2009


Hi,
  where can i use this par(ask=TRUE) function i tried before dev.off()
code but it is again the same.
best regards,
Deepak

On Tue, Jul 14, 2009 at 8:56 AM, deepak m r<deepaknbr at gmail.com> wrote:
> Hi,
>    Empty plot is getting i dont know why. can u please clarify how
> can i use Print function instead of plot function.
> best regards
> deepak
>
> On Tue, Jul 14, 2009 at 7:48 AM, Petr PIKAL<petr.pikal at precheza.cz> wrote:
>> Hi
>>
>> For this type of problems I do multipage pdf.
>>
>> pdf("file", ....)
>> for (i in ...) {
>> do all stuff including plot
>> }
>> dev.off()
>>
>> and then check the plots afterwards. Recently there was some post about
>> how to wait but you do not want only wait you want also to interactively
>> change plotting parameters, won't you.
>>
>> cat("\n","Enter x","\n") # prompt
>> x=scan(n=1) # read 1 line from console
>>
>> this construction print something on console and reads one line from
>> console. There are also some packages which leave you choose from several
>> options. I think in car and randomForest are such routines so you could
>> check how it is done.
>>
>> Regards
>> Petr
>>
>> r-help-bounces at r-project.org napsal dne 14.07.2009 13:17:01:
>>
>>> hi,
>>>    is there any wait function in R. I am running one R script to plot
>>> many graphs it is in the for loop. its showing no error but its not
>>> plotting well I think i can solve this problem with a wait function.
>>> Please help me in this regards. If u need any clarification about
>>> programme. u can find the script below.
>>>
>>> best regards,
>>> Deepak.M.R
>>> Biocomputing Group
>>> University of Bologana.
>>>
>>>
>>> #!/usr/bin/R
>>> s<-c
>>>
>> ("GG","GA","GV","GL","GI","GM","GF","GW","GP","GS","GT","GC","GY","GN","GQ","GD","GE","GK","GR","GH","AA","AV","AL","AI","AM","AF","AW","AP","AS","AT","AC","AY","AN","AQ","AD","AE","AK","AR","AH","VV","VL","VI","VM","VF","VW","VP","VS","VT","VC","VY","VN","VQ","VD","VE","VK","VR","VH","LL","LI","LM","LF","LW","LP","LS","LT","LC","LY","LN","LQ","LD","LE","LK","LR","LH","II","IM","IF","IW","IP","IS","IT","IC","IY","IN","IQ","ID","IE","IK","IR","IH","MM","MF","MW","MP","MS","MT","MC","MY","MN","MQ","MD","ME","MK","MR","MH","FF","FW","FP","FS","FT","FC","FY","FN","FQ","FD","FE","FK","FR","FH","WW","WP","WS","WT","WC","WY","WN","WQ","WD","WE","WK","WR","WH","PP","PS","PT","PC","PY","PN","PQ","PD","PE","PK","PR","PH","SS","ST","SC","SY","SN","SQ","SD","SE","SK","SR","SH","TT","TC","TY","TN","TQ","TD","TE","TK","TR","TH","CC","CY","CN","CQ","CD","CE","CK","CR","CH","YY","YN","YQ","YD","YE","YK","YR","YH","NN","NQ","ND","NE","NK","NR","NH","QQ","QD","QE","QK","QR","QH","DD","DE"!
>>>  ,"DK","DR","DH","EE","EK","ER","EH","KK","KR","KH","RR","RH","HH")
>>> for(t in 1:length(s))
>>>    {
>>>
>> a<-read.table(paste("../All_alpha_proteins/alp",s[t],"mean.sat",sep=""),header=T)
>>>    attach (a)
>>>    names(a)
>>>    al<-1:length(paste("alp",s[t],"_mean",sep=""))
>>>
>> b<-read.table(paste("../All_beta_proteins/bet",s[t],"mean.sat",sep=""),header=T)
>>>    attach(b)
>>>    names(b)
>>>    bl<-1:length(paste("bet",s[t],"_mean",sep=""))
>>>    p<-read.table(paste("../Alpha_and_beta_proteins_a+b/apb",s
>>> [t],"mean.sat",sep=""),header=T)
>>>    attach(p)
>>>    names(p)
>>>    pl<-1:length(paste("apb",s[t],"_mean",sep=""))
>>>    o<-read.table(paste("../Alpha_and_beta_proteins_aorb/aob",s
>>> [t],"mean.sat",sep=""),header=T)
>>>    attach(o)
>>>    names(o)
>>>    ol<-1:length(paste("aob",s[t],"_mean",sep=""))
>>>    postscript(file=paste("Mean_",s[t],"_Plot.ps",sep=""))
>>>    plot(0,xlim=c(0,160),ylim=c(0,70),main=paste("Mean Distance Plot for
>>> ",s[t]," Rsidue pair",sep=""),ylab="Mean Distance in
>>> Angstrom",xlab="Residue Seperation Number")
>>>    lines(al,paste("alp",s[t],"_mean",sep=""),col="blue",lty = 2)
>>>    lines(bl,paste("bet",s[t],"_mean",sep=""),col="yellow",lty = 2)
>>>    lines(pl,paste("apb",s[t],"_mean",sep=""),col="red",lty = 2)
>>>    lines(ol,paste("aob",s[t],"_mean",sep=""),col="green",lty = 2)
>>>    legend("topleft",c("Alpha Proteins","Beta Proteins","Alpha +
>>> Beta","Alpha or Beta"),lty =
>>> c(2,2,2,2),col=c("blue","yellow","red","green"))
>>>    dev.off()
>>>    }
>>>
>>> ______________________________________________
>>> R-help at 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.
>>
>>
>




More information about the R-help mailing list