tidyverse/dplyr v0.1.1 on GitHub

Improvements

new location() and changes() functions which provide more information
about how data frames are stored in memory so that you can see what
gets copied.
renamed explain_tbl() to explain() (#182).
tally() gains sort argument to sort output so highest counts
come first (#173).
ungroup.grouped_df(), tbl_df(), as.data.frame.tbl_df() now only
make shallow copies of their inputs (#191).
The benchmark-baseball vignette now contains fairer (including grouping
times) comparisons with data.table. (#222)

filter() (#221) and summarise() (#194) correctly propagate attributes.
summarise() throws an error when asked to summarise an unknown variable
instead of crashing (#208).
group_by() handles factors with missing values (#183).
filter() handles scalar results (#217) and better handles scoping, e.g.
filter(., variable) where variable is defined in the function that calls
filter. It also handles T and F as aliases to TRUE and FALSE
if there are no T or F variables in the data or in the scope.
select.grouped_df fails when the grouping variables are not included
in the selected variables (#170)
all.equal.data.frame() handles a corner case where the data frame has
NULL names (#217)
mutate() gives informative error message on unsupported types (#179)
dplyr source package no longer includes pandas benchmark, reducing
download size from 2.8 MB to 0.5 MB.