Readers, Is it possible to create a plot command based upon the indices of missing values in a data set?
dataset1<-read.table(text=' 10 2 20 NA 30 5 40 7 50 NA 60 NA 70 2 80 6 90 NA 100 9 ') dataset2<-read.table(text=' 0.2 0.4 0.1 0.9 0.2 0.3 1.1 0.7 0.9 0.6 0.4 ') The 'approx' function is used to obtain the interpolated values for 'NA' in dataset1. dataset1interpolatedvalues<-approx(dataset1,y=NULL,xout=dataset1$V1[is.na(dataset1$V2)]) dataset1interpolatedvalues $x [1] 20 50 60 90 $y [1] 3.500000 5.333333 3.666667 7.500000 x<-dataset1interpolatedvalues$y How to create a vector 'y' by selecting the values in 'dataset2' using the indices equivalent to interpolated values in 'dataset1' (i.e. indices 2, 5, 6, 9 in dataset1)? The result of creating 'y' should be y 0.4 0.2 0.3 0.9 Then the desired plot would be plot(y~x) Thanks. -- r2151 ______________________________________________ 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.
