Hello,
Sorry, resending this question as the prior was not sent properly.
I’m using the plyr package below to add a variable named "bin" to my
original data frame "df" with the user-defined function "create_bins". I'd
like to get similar results using dplyr instead, but failing to do so.
set.seed(4)
df <- data.frame(pred = rnorm(100), models = gl(2, 50, 100, labels =
c("model1", "model2")))
### Using plyr (works fine)
create_bins <- function(x, nBins)
{
Breaks <- unique(quantile(x$pred, probs = seq(0, 1, 1/nBins)))
dfB <- data.frame(pred = x$pred,
bin = cut(x$pred, breaks = Breaks, include.lowest =
TRUE))
dfB
}
nBins = 10
res_plyr <- plyr::ddply(df, plyr::.(models), create_bins, nBins)
head(res_plyr)
### Using dplyr (fails)
by_group <- dplyr::group_by(df, models)
res_dplyr <- dplyr::summarize(by_group, create_bins, nBins)
Error: not a vector
Any help would be much appreciated.
Best,
Axel.
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