Re: [R] grep or other complex string matching approach to capture necessary information...

ems[3] | house_info[,1]==problems[4]) or am I misunderstanding the question? or perhaps %in% which probably does the job more elegantly but I forget the syntax at the moment. --- On Fri, 9/25/09, Jason Rupert wrote: > From: Jason Rupert > Subject: [R] grep

Re: [R] grep or other complex string matching approach to capture necessary information...

t;No water damage",..: 5 3 5 2 5 3 5 3 5 5 ... $ house_number: num 276 594 591 376 229 428 248 237 534 517 ... --- On Fri, 9/25/09, Jason Rupert wrote: From: Jason Rupert Subject: [R] grep or other complex string matching approach to capture neces

Re: [R] grep or other complex string matching approach to capture necessary information...

You could use grep, but it's probably easier to use %in% (see also is.element()), e.g.: house_info[ house_info[,1] %in% c("Water damage", "water pipes damaged", "leaking water"), ] water_evaluation.water_evaluation_selection. house_number 6 water pipes damaged

[R] grep or other complex string matching approach to capture necessary information...

Say I have the following data: house_number<-floor(runif(100, 200, 600)) water_evaluation<-c("No water damage", "Water damage", "Water On", "Water off", "water pipes damaged", "leaking water") water_evaluation_selection<-floor(runif(100, 1,6)) house_info<-data.frame(water_evaluation[water_evalua