search for: coldat

...tterplot3d) ## open binary file to read nc <- open.ncdf("/srv/ccrc/data05/z3236814/mm5/co2/2000/q.200001.mon.nc") v1 <- nc$var [[1]] v2 <- nc$var [[2]] v3 <- nc$var [[3]] data1 <- get.var.ncdf(nc,v1) data2 <- get.var.ncdf(nc,v2) data3 <- get.var.ncdf(nc,v3) coldat = data1[1:111,1:101,23,1:60] ## creat colour hcol = cumsum(coldat) coldat = hcol hcol = hcol/max(hcol,na.rm=TRUE) col <- hsv(h=hcol,s=1,v=1) X <-scatterplot3d(data3[1:111,1:101],data2[1:111,1:101],data1[1:111,1:101,23,1:60],color=col)

Hi, I have 22 files (A1, A2, ..., A22) with different number of columns, totaling 10,000 columns: c1, c2, c3, ..., c10000 I have another file with a list of 100 columns that I need to extract. These 100 columns are distributed in 22 files. How to extract the 100 columns of the 22 files? I have done it "manually" with the following commands, for example: cromo1 = read.table ("~

...ling(max(well.80.2$Reading))) xlim<-c(as.POSIXlt(ttime.80.2[1],"%Y-%m-%d %H:%M",tz=""),as.POSIXlt(ttime.80.2[length(ttime.80.2)],"%Y-%m-%d %H:%M",tz="")) points(xlim,ylim,col="purple",pch=19,type="p") par(new = TRUE) i<-1 barscale=1 coldat<-freqs[,i+1] barplot(coldat,horiz=TRUE,axes=FALSE,xlim=xlim, ylim=ylim,col=8,space=0) -- View this message in context: http://r.789695.n4.nabble.com/barplot-invalid-xlim-value-tp2217919p2217919.html Sent from the R help mailing list archive at Nabble.com.