Alastair wrote:
Hi,
I've got some boolean data in a data.frame in the form:
X Y Z A B C
[1] T T F T F F
[2] F T T F F F
.
.
.
What I want to do is create a new column which is the logical disjunction of
several of the columns.
Just like:
new.column <- data$X | data$Y | data$Z
However I don't want to hard code the particular columns into the expression
like that. I've tried using apply row wise with `|` as the function:
columns <- c(X,Y,Z)
apply(data[,columns], 1,`|`)
Please provide *reproducible* examples. I cannot run any of your code
since you don't give us the objects X, Y, or Z. An easy way to do this
is to use ?dput on the objects we need to run your code, e.g., your
data.frame.
Does this do what you want?
df1 <- data.frame(x = sample(c(TRUE, FALSE), 10, replace = TRUE),
y = sample(c(TRUE, FALSE), 10, replace = TRUE),
z = sample(c(TRUE, FALSE), 10, replace = TRUE))
columns <- c("x", "y", "z")
apply(df1[columns], 1, any)
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
