Hi,
I am really confused how ddply work, so maybe you can help me.
I created a function that sorts a vector etc.
fn <- function(x){
x1 <- sort(x)
x2 <- seq(length(x))
x3 <- x2/max(x2)
df <- data.frame(x1,x2,x3)
df
}
Probably this is not the best form of the function, but at least it produces
what I want (data to plot a cumulative count curve).
This function works on a single vector but I have a melted dataframe like:
var1 <- rep(c("a","b"),c(100,100))
var2 <- runif(200,1,50)
df.test <- data.frame(var1,var2)
..and I want to apply that function on var2 but splitted by the variable var1.
I think this might be a case for ddply...
anything like: ddply(df.test,.(var1),fn(var2))...
maybe someone know how to do that (modifying my function and applying it on a
splitted dataframe).
Best regards,
Johannes
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