Partition a set of tables into a list of sets of tables. Note: removes rownames.

partition_tables(tables_used, partition_column, ..., source_usage = NULL,
  source_limit = NULL, tables = NULL, env = NULL)

Arguments

tables_used

character, names of tables to look for.

partition_column

character, name of column to partition by (tables should not have NAs in this column).

...

force later arguments to bind by name.

source_usage

optional named map from tables_used names to sets of columns used.

source_limit

optional numeric scalar limit on rows wanted every source.

tables

named map from tables_used names to data.frames.

env

environment to also look for tables named by tables_used

Value

list of names maps of data.frames partitioned by partition_column.

See also

Examples

d1 <- data.frame(a = 1:5, g = c(1, 1, 2, 2, 2)) d2 <- data.frame(x = 1:3, g = 1:3) d3 <- data.frame(y = 1) partition_tables(c("d1", "d2", "d3"), "g", tables = list(d1 = d1, d2 = d2, d3 = d3))
#> $`1` #> $`1`$d1 #> a g #> 1 1 1 #> 2 2 1 #> #> $`1`$d2 #> x g #> 1 1 1 #> #> $`1`$d3 #> y #> 1 1 #> #> #> $`2` #> $`2`$d1 #> a g #> 1 3 2 #> 2 4 2 #> 3 5 2 #> #> $`2`$d2 #> x g #> 1 2 2 #> #> $`2`$d3 #> y #> 1 1 #> #> #> $`3` #> $`3`$d1 #> [1] a g #> <0 rows> (or 0-length row.names) #> #> $`3`$d2 #> x g #> 1 3 3 #> #> $`3`$d3 #> y #> 1 1 #> #>