Reputation: 21705
df<-data.frame(w=c("r","q"), x=c("a","b"))
y=c(1,2)
How do I combine df and y into a new data frame that has all combinations of rows from df with elements from y? In this example, the output should be
data.frame(w=c("r","r","q","q"), x=c("a","a","b","b"),y=c(1,2,1,2))
w x y
1 r a 1
2 r a 2
3 q b 1
4 q b 2
Upvotes: 4
Views: 391
Reputation: 193687
This should do what you're trying to do, and without too much work.
dl <- unclass(df)
dl$y <- y
merge(df, expand.grid(dl))
# w x y
# 1 q b 1
# 2 q b 2
# 3 r a 1
# 4 r a 2
Upvotes: 2
Reputation: 1745
First, convert class of columns from factor to character:
df <- data.frame(lapply(df, as.character), stringsAsFactors=FALSE)
Then, use expand.grid
to get a index matrix for all combinations of rows of df
and elements of y
:
ind.mat = expand.grid(1:length(y), 1:nrow(df))
Finally, loop through the rows of ind.mat
to get the result:
data.frame(t(apply(ind.mat, 1, function(x){c(as.character(df[x[2], ]), y[x[1]])})))
Upvotes: 0
Reputation: 31817
this should work
library(combinat)
df<-data.frame(w=c("r","q"), x=c("a","b"))
y=c("one", "two") #for generality
indices <- permn(seq_along(y))
combined <- NULL
for(i in indices){
current <- cbind(df, y=y[unlist(i)])
if(is.null(combined)){
combined <- current
} else {
combined <- rbind(combined, current)
}
}
print(combined)
Here is the output:
w x y
1 r a one
2 q b two
3 r a two
4 q b one
... or to make it shorter (and less obvious):
combined <- do.call(rbind, lapply(indices, function(i){cbind(df, y=y[unlist(i)])}))
Upvotes: 0