Creating a new column from a series of columns

R 3.1.1
OS X

Colleagues,
I have a dataset containing multiple columns indicating race for subjects
in a clinical trial.  A subset of the data (obtained with dput) is shown
here:

structure(list(PLTID = c(7157, 8138, 8150, 9112, 9114, 9115,
9124, 9133, 9141, 9144, 9148, 12110, 12111, 12116, 12134, 12136,
12137, 12142, 12143, 12146, 12147, 13159), Indian..RACE1. = c(NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA), Asian..RACE2. = c("", "Yes", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
""), Black..RACE3. = c("Yes", "", "", "Yes", "Yes", "Yes", "Yes",
"Yes", "", "Yes", "", "", "", "", "", "", "", "Yes", "Yes", "",
"", ""), Native.Hawaiian.or.other.Pacif..RACE4. = c(NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA), White..RACE5. = c("", "", "Yes", "", "", "", "",
"", "Yes", "", "Yes", "Yes", "Yes", "Yes", "Yes", "Yes", "Yes",
"", "", "Yes", "Yes", "Yes"), Other.Race..RACE6. = c(NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA), Specify.Other.Race..RACEOTH. = c(NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA)), .Names = c("PLTID", "Indian..RACE1.", "Asian..RACE2.",
"Black..RACE3.", "Native.Hawaiian.or.other.Pacif..RACE4.", "White..RACE5.",
"Other.Race..RACE6.", "Specify.Other.Race..RACEOTH."), class =
"data.frame", row.names = 43:64)

I would like to add a column that indicates which of the other columns
contains "Yes".  In other words, that column would contain:
        Black..RACE3.
        Asian..RACE2.
        White..RACE5.
        Black..RACE3.
        ...

Even better would be
        Black
        Asian
        White
        Black
        ...
(which I can accomplish with strsplit)

None of the rows contains more than one 'Yes' although it is possible that
none of the entries in a row would be 'Yes' (in which case, the entry in
the new column should be NA)

I could do this by looping through each of the columns with something like
this:
        DATA$RACE               <- NA
        for (COL in 2:8)        DATA$RACE[which(DATA[,COL] == "Yes")]   <-
names(DATA)[COL]
But, I suspect that there is some more elegant way to accomplish this.

Thanks in advance.

Dennis

Dennis Fisher MD
P < (The "P Less Than" Company)
Phone: 1-866-PLessThan (1-866-753-7784)
Fax: 1-866-PLessThan (1-866-753-7784)
www.PLessThan.com