Unexpected behavior when giving a value to a new variable basedon the value of another variable
On Fri, 29 Aug 2014 06:33:01 -0700 Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote
One clue is the help file for "$"... ?" $" In particular there see the discussion of character indices and the "exact" argument.
<...snip...>
On August 29, 2014 1:53:47 AM PDT, Angel Rodriguez <angel.rodriguez at matiainstituto.net> wrote: >
Dear subscribers, I've found that if there is a variable in the dataframe with a name
<...sip...>
N <- structure(list(V1 = c(67, 62, 74, 61, 60, 55, 60, 59, 58), V2 =
c(NA, 1, 1, 1, 1,1,1,1,NA)),
+ .Names = c("age","samplem"), row.names = c(NA,
-9L), class = "data.frame")
N$sample[N$age >= 65] <- 1 N
age samplem sample 1 67 NA 1 2 62 1 1 3 74 1 1 4 61 1 1 5 60 1 1 6 55 1 1 7 60 1 1 8 59 1 1 9 58 NA NA
<...snip...> Having seen all the responses about partial matching I almost understand. I've also replicated the behaviour on R 2.11.1 so it's been around awhile. This tells me it ain't a bug - so if any of the cognoscenti have the time and inclination can someone give me a brief (and hopefully simple) explanation of what is going on under the hood? It looks (to me) like N$sample[N$age >= 65] <- 1 copies N$samplem to N$sample and then does the assignment. If partial matching is the problem (which it clearly is) my expectation is that the output should look like age samplem 1 67 1 2 62 1 3 74 1 4 61 1 5 60 1 6 55 1 7 60 1 8 59 1 9 58 NA That is - no new column. (and I just hate it when the world doesn't live up to my expectations!) Bewildered and confused, DMcP ____________________________________________________________ South Africas premier free email service - www.webmail.co.za Cotlands - Shaping tomorrows Heroes http://www.cotlands.org.za/