> On 06 Nov 2015, at 00:59 , Axel Urbiz <axel.ur...@gmail.com> wrote:
>
> Hello,
>
> Is there a way to avoid the warning below in dplyr. I’m performing an
> operation within groups, and the warning says that the factors created from
> each group do not have the same levels, and so it coerces the factor to
> character. I’m using this inside a package I’m developing. I’d appreciate
> your recommendation on how to handle this.
Well, what did you intend? If you cut according to quantiles, the levels of the
result will reflect the value of the quantiles, as in
> y <- runif(10)
> cut(y, quantile(y,c(0,.25,.5,.75, 1)), include.lowest=T)
[1] (0.65,0.765] [0.108,0.281] [0.108,0.281] (0.65,0.765] (0.281,0.528]
[6] [0.108,0.281] (0.528,0.65] (0.281,0.528] (0.65,0.765] (0.528,0.65]
Levels: [0.108,0.281] (0.281,0.528] (0.528,0.65] (0.65,0.765]
If you do it in different groups, the quantiles will differ, hence the factor
levels too. Concatenating the resulting factors will get you in trouble.
If you don't mind losing the information about that the quantile intervals are,
you could consider standardizing the levels with somthing like levels(bin$bin)
<- 1:nBins.
-pd
>
> library(dplyr)
>
> set.seed(4)
> df <- data.frame(pred = rnorm(100), models = gl(2, 50, 100, labels =
> c("model1", "model2")))
>
> create_bins <- function (pred, nBins) {
> Breaks <- unique(quantile(pred, probs = seq(0, 1, 1/nBins)))
> bin <- data.frame(pred = pred, bin = cut(pred, breaks = Breaks,
> include.lowest = TRUE))
> bin
> }
>
> res_dplyr <- df %>% group_by(models) %>% do(create_bins(.$pred, 10))
> Warning message:
> In rbind_all(out[[1]]) : Unequal factor levels: coercing to character
>
> Thank you,
> Axel.
>
>
> [[alternative HTML version deleted]]
>
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--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd....@cbs.dk Priv: pda...@gmail.com
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