Dear Laura, It looks like you want to remove all rows for which each column is NA. You can to that with the code below.
na.matrix <- is.na(MyData) all.na.row <- apply(na.matrix, 1, all) MyData[!all.na.row, ] Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkel...@inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// 2018-05-08 13:57 GMT+02:00 Laura Ringienė <lauraringi...@gmail.com>: > Hello, > > I am a newbie in R and I have a problem. > I want this line: > > newMyData <-MyData[!(is.na(col1)) | !(is.na(col2)) | !(is.na(col3)) | !( > is.na(col4)) | !(is.na(col5)),] > > write in for loop. The number of col[number] may be different from 3 to 8 > > Is there any ideas? > > Thank you > Laura > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
