This may seem like a very basic R question, but I'd appreciate an answer. I have a data frame in the form of:
col1 col2
a g
a h
a g
b i
b g
b h
c i
I want to transform it into counts, so the outcome would be like this. I've tried using table () function, but seem to only be able to get the count for one column.
a b c
g 2 1 0
h 1 1 0
i 0 1 1
How do I do it in R?
I'm not really sure what you used, but table
works fine for me!
Here's a minimal reproducible example:
df <- structure(list(V1 = c("a", "a", "a", "b", "b", "b", "c"),
V2 = c("g", "h", "g", "i", "g", "h", "i")),
.Names = c("V1", "V2"), class = "data.frame",
row.names = c(NA, -7L))
table(df)
# V2
# V1 g h i
# a 2 1 0
# b 1 1 1
# c 0 0 1
Notes:
table(df[c(2, 1)])
(or table(df$V2, df$V1)
) to swap the rows and columns.as.data.frame.matrix(table(df))
to get a data.frame
as your output. (as.data.frame
will create a long data.frame
, not one in the same output format you desire).