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project data by grouping, and adding aggregate columns. — project • rquery

Supports bquote() .()-style name abstraction including .(-) notation to promote strings to names (please see here: https://github.com/WinVector/rquery/blob/master/Examples/Substitution/Substitution.md).

project(source, ..., groupby = c(), env = parent.frame())

project_nse(source, ..., groupby = c(), env = parent.frame())

aggregate_nse(source, ..., groupby = c(), env = parent.frame())
Arguments source

source to select from.

...

new column assignment expressions.

groupby

grouping columns.

env

environment to look for values in.

Value

project node.

Examples
if (requireNamespace("DBI"

, quietly

= TRUE) && requireNamespace("RSQLite"

, quietly

= TRUE)) { my_db <- DBI::dbConnect(RSQLite::SQLite()

,

":memory:") d <- rq_copy_to( my_db

,

'd'

,

data.frame(

group

= c('a'

,

'a'

,

'b'

,

'b')

, val

= 1:4

, stringsAsFactors

= FALSE)) op_tree <- d %.>% project(.

, groupby

= "group"

,

vmax %:=% max(val)) cat(format(op_tree)) sql <- to_sql(op_tree

,

my_db) cat(sql) execute(my_db

,

op_tree) %.>% print(.) op_tree <- d %.>% project(.

, groupby

= NULL

,

vmax %:=% max(val)) cat(format(op_tree)) sql <- to_sql(op_tree

,

my_db) cat(sql) execute(my_db

,

op_tree) %.>% print(.) DBI::dbDisconnect(my_db) }

#> mk_td("d", c( #> "group", #> "val")) %.>% #> project(., vmax := max(val), #> groupby = c('group')) #> SELECT `group`, max ( `val` ) AS `vmax` FROM ( #> SELECT #> `group`, #> `val` #> FROM #> `d` #> ) tsql_86188167191619545564_0000000000 #> GROUP BY #> `group` #> group vmax #> 1 a 2 #> 2 b 4 #> mk_td("d", c( #> "group", #> "val")) %.>% #> project(., vmax := max(val), #> groupby = c()) #> SELECT max ( `val` ) AS `vmax` FROM ( #> SELECT #> `val` #> FROM #> `d` #> ) tsql_06969961980534496516_0000000000 #> vmax #> 1 4


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