I have a dataframe with multiple columns. For each row in the dataframe, I want to call a function on the row, and the input of the function is using multiple columns from that row. For example, let's say I have this data and this testFunc which accepts two args:
> df <- data.frame(x=c(1,2), y=c(3,4), z=c(5,6))
x y z
1 1 3 5
2 2 4 6
> testFunc <- function(a, b) a + b
Let's say I want to apply this testFunc to columns x and z. So, for row 1 I want 1+5, and for row 2 I want 2 + 6. Is there a way to do this without writing a for loop, maybe with the apply function family?
I tried this:
1 1 5
2 2 6
> lapply(df[,c('x','z')], testFunc)
Error in a + b : 'b' is missing
But got error, any ideas?
EDIT: the actual function I want to call is not a simple sum, but it is power.t.test. I used a+b just for example purposes. The end goal is to be able to do something like this (written in pseudocode):
df = data.frame(
where the result is a vector of outputs for power.t.test for each row of df.