data.table vs dplyr: can one do something well the other can't or does poorly? data.table vs dplyr: can one do something well the other can't or does poorly? r r
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data.table vs dplyr: can one do something well the other can't or does poorly?
r
data.table
dplyr
lien
r
Display / print all rows of a tibble (tbl_df)
r
dplyr
options
display
lien
r
Filter rows which contain a certain string
r
filter
dplyr
lien
r
Use dynamic variable names in `dplyr`
r
dplyr
r-faq
lien
r
Extract a dplyr tbl column as a vector
r
dplyr
lazy-evaluation
collect
lien
r
Can dplyr package be used for conditional mutating?
r
if-statement
dplyr
case-when
mutate
lien
r
Fixing a multiple warning "unknown column"
r
dplyr
lien
r
Relative frequencies / proportions with dplyr
r
group-by
dplyr
frequency
lien
r
Group by multiple columns in dplyr, using string vector input
r
dplyr
r-faq
lien
r
Summarizing multiple columns with dplyr? [duplicate]
r
dplyr
aggregate
lien
r
Select first and last row from grouped data
r
dplyr
lien
r
How to interpret dplyr message `summarise()` regrouping output by 'x' (override with `.groups` argument)?
r
dplyr
summarize
lien
r
What does %>% function mean in R?
r
syntax
dplyr
magrittr
r-faq
lien
r
Remove duplicated rows using dplyr
r
dplyr
lien
r
How to select the rows with maximum values in each group with dplyr? [duplicate]
r
dplyr
plyr
greatest-n-per-group
lien
r
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