Recursively join a list of data frames.

Usage

join_all(dfs, by = NULL, type = "left", match = "all")

Arguments

dfs: A list of data frames.
by: character vector of variable names to join by. If omitted, will match on all common variables.
type: type of join: left (default), right, inner or full. See details for more information.
match: how should duplicate ids be matched? Either match just the "first" matching row, or match "all" matching rows. Defaults to "all" for compatibility with merge, but "first" is significantly faster.

Examples

dfs <- list(
  a = data.frame(x = 1:10, a = runif(10)),
  b = data.frame(x = 1:10, b = runif(10)),
  c = data.frame(x = 1:10, c = runif(10))
)
join_all(dfs)
#> Joining by: x
#> Joining by: x
#>     x          a          b          c
#> 1   1 0.06563664 0.28841703 0.78314067
#> 2   2 0.12649262 0.01476902 0.03092390
#> 3   3 0.93733022 0.85372373 0.78942036
#> 4   4 0.21638023 0.41404783 0.16660368
#> 5   5 0.66609201 0.75101385 0.02871257
#> 6   6 0.20390068 0.71901396 0.78595116
#> 7   7 0.54859144 0.51535530 0.82530786
#> 8   8 0.82750141 0.97483626 0.96524042
#> 9   9 0.12755765 0.36077756 0.37864118
#> 10 10 0.26118612 0.17039551 0.17438633
join_all(dfs, "x")
#>     x          a          b          c
#> 1   1 0.06563664 0.28841703 0.78314067
#> 2   2 0.12649262 0.01476902 0.03092390
#> 3   3 0.93733022 0.85372373 0.78942036
#> 4   4 0.21638023 0.41404783 0.16660368
#> 5   5 0.66609201 0.75101385 0.02871257
#> 6   6 0.20390068 0.71901396 0.78595116
#> 7   7 0.54859144 0.51535530 0.82530786
#> 8   8 0.82750141 0.97483626 0.96524042
#> 9   9 0.12755765 0.36077756 0.37864118
#> 10 10 0.26118612 0.17039551 0.17438633