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if your data set is a matrix try this new.data <- cbind(data, "New Column" = is.na(data[, "Years"]) & data[, "Products"] > 20) whereas if your data set is a data.frame try this data$"New.Column" <- as.numeric(is.na(data$Years) & data$Products > 20) I hope it helps. Best, Dimitris ---- Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm ----- Original Message ----- From: "Sergio Della Franca" <sergio.della.franca at gmail.com> To: <r-help at stat.math.ethz.ch> Sent: Monday, April 02, 2007 1:31 PM Subject: [R] substitute values> Dear R-Helpers, > > I have the following data set(y): > > Years Products > 1 10 > 2 25 > 3 40 > 4 NA > 5 35 > <NA> 23 > 6 NA > 7 67 > 8 NA > > I want to create a new column into my dataset(y) under the following > conditions: > if years =NA and products >20 then new column=1 else new column=0; > to obtain the following results: > > Years Products New Column > 1 10 0 > 2 25 0 > 3 40 0 > 4 NA 0 > 5 35 0 > <NA> 23 1 > 6 NA 0 > 7 67 0 > 8 NA 0 > > Thank you in advance. > > > Serigo Della Franca > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at stat.math.ethz.ch 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. >Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
Sergio Della Franca wrote:> Dear R-Helpers, > > I have the following data set(y): > > Years Products > 1 10 > 2 25 > 3 40 > 4 NA > 5 35 > <NA> 23 > 6 NA > 7 67 > 8 NA > > I want to create a new column into my dataset(y) under the following > conditions: > if years =NA and products >20 then new column=1 else new column=0; > to obtain the following results: > > Years Products New Column > 1 10 0 > 2 25 0 > 3 40 0 > 4 NA 0 > 5 35 0 > <NA> 23 1 > 6 NA 0 > 7 67 0 > 8 NA 0 >How about using ifelse(): year = c(1,2,3,4,5,NA,6,7,8) products = c(10,25,40,NA,35,23,NA,67,NA) ifelse(is.na(year) & products>20,1,0) => [1] 0 0 0 0 0 1 0 0 0 Mark -- Dr. Mark Wardle Specialist registrar, Neurology Cardiff, UK