Re: [R] transform dataframe with look-up table

Hello First thank you very much to Jean, Bill, Brian and David for the answers and code. I very extremely grateful. I am eventually going to adapt Brian's code with a very minor alteration. If one follows the original syntax End <- merge(merge(Start, transformer, by.x="Left", by.y="

Re: [R] transform dataframe with look-up table

Carlson Associate Professor of Anthropology Texas A&M University College Station, TX 77840-4352 -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Juan Antonio Balbuena Sent: Thursday, July 25, 2013 10:13 AM To: r-help@r-project.org Sub

Re: [R] transform dataframe with look-up table

On 7/25/2013 8:13 AM, Juan Antonio Balbuena wrote: > > Hello > I hope that there is a simple solution to this apparently complex problem. > Any help will be much appreciated: > I have a dataframe with Left and Right readings (that is, elements in each > row are paired). For inst

Re: [R] transform dataframe with look-up table

CO Software wdunlap tibco.com > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf > Of Juan Antonio Balbuena > Sent: Thursday, July 25, 2013 8:13 AM > To: r-help@r-project.org > Subject: [R] transform dataframe with l

Re: [R] transform dataframe with look-up table

Perhaps this will help. Jean df <- structure(list(Left = c(9L, 4L, 2L, 6L, 3L, 4L, 3L, 4L, 10L, 9L), Right = c(8L, 3L, 1L, 5L, 1L, 1L, 2L, 2L, 8L, 10L)), .Names = c("Left", "Right"), class = "data.frame", row.names = 1:10) lookup <- structure(list(input = c(5L, 10L, 4L, 8L, 6L, 5L, 7L, 2L, 9L,

[R] transform dataframe with look-up table

Hello I hope that there is a simple solution to this apparently complex problem. Any help will be much appreciated: I have a dataframe with Left and Right readings (that is, elements in each row are paired). For instance, Left Right [1] 98 [2] 43 [3] 2