Hi I'm reading a CSV file using read.table, and it keeps importing a text variable as a factor. To overcome this, I've used the as.is command referring to the variable in question (called "stim") data<-read.table(file.choose(), header=T, sep=",", as.is = "stim") However, "stim" is still imported as a factor. I notice there are other read.table options related to this issue, but the help files don't appear to contain much detail on these. Any help would be greatly appreciated. Best wishes Nick Riches -- Lecturer in Speech and Language Pathology Room 1.9 King George VI Building Queen Victoria Road University of Newcastle-upon Tyne NE1 7RU 0191 222 8720 [[alternative HTML version deleted]]
Hi I've resolved the following query by adding the option "stringsAsFactors FALSE" Thanks Nick Riches ---------- Forwarded message ---------- From: Nick Riches <nick.riches@gmail.com> Date: 16 February 2011 12:16 Subject: read.table - reading text variables as text To: r-help@r-project.org Hi I'm reading a CSV file using read.table, and it keeps importing a text variable as a factor. To overcome this, I've used the as.is command referring to the variable in question (called "stim") data<-read.table(file.choose(), header=T, sep=",", as.is = "stim") However, "stim" is still imported as a factor. I notice there are other read.table options related to this issue, but the help files don't appear to contain much detail on these. Any help would be greatly appreciated. Best wishes Nick Riches -- Lecturer in Speech and Language Pathology Room 1.9 King George VI Building Queen Victoria Road University of Newcastle-upon Tyne NE1 7RU 0191 222 8720 -- Lecturer in Speech and Language Pathology Room 1.9 King George VI Building Queen Victoria Road University of Newcastle-upon Tyne NE1 7RU 0191 222 8720 [[alternative HTML version deleted]]
Seemingly Similar Threads
- Creating new variables. How do you get them into a data frame?
- Natural Language Toolkit for R - is it still there?
- Reclassifying values within a vector to several other values
- Storing p-values from a glm
- lagsarlm - using mixed explanatory variables (spdep package)