Something like this will work m<-matrix(df1$likes, nr=3,nc=3,byrow=T) colnames(m)<-unique(df1$color) rowlnames(m)<-unique(df1$name)
Sincerly. Justin BEM BP 1917 Yaoundé Cameroun Tél (237) 76043774 ________________________________ De : Jennifer Brea <b...@fas.harvard.edu> À : r-help@r-project.org Envoyé le : Mercredi, 11 Mars 2009, 6h42mn 29s Objet : [R] Converting a dataframe to a matrix If I have a dataframe which is organized like this: name color likes? 1 sally red 0 2 sally blue 1 3 sally green 1 4 jake red 0 5 jake blue 1 6 jake green 1 7 tom red 1 8 tom blue 0 9 tom green 0 And I want to create a matrix in the form: red blue green sally 0 1 1 jake 0 1 1 tom 1 0 0 Are there any built-in commands that might help me do this? Also, I can't assume that there is an observation for every person-color. In other words, in the original dataset, there might be some colors for which sally offered no opinion. In some cases, this may be represented by NA, in others, it may mean that no row exists for sally for that color. Thank you! ______________________________________________ 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. [[alternative HTML version deleted]]
______________________________________________ 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.
