Select groups with more than one distinct value

Question

I have data with a grouping variable ("from") and values ("number"):

from number
   1      1
   1      1
   2      1
   2      2
   3      2
   3      2

I want to subset the data and select groups which have two or more unique values. In my data, only group 2 has more than one distinct 'number', so this is the desired result:

from number
   2      1
   2      2

Answer 1

Several possibilities, here's my favorite

library(data.table)
setDT(df)[, if(+var(number)) .SD, by = from]
#    from number
# 1:    2      1
# 2:    2      2

Basically, per each group we are checking if there is any variance, if TRUE, then return the group values

---

With base R, I would go with

df[as.logical(with(df, ave(number, from, FUN = var))), ]
#   from number
# 3    2      1
# 4    2      2

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Edit: for a non numerical data you could try the new uniqueN function for the devel version of data.table (or use length(unique(number)) > 1 instead

setDT(df)[, if(uniqueN(number) > 1) .SD, by = from]