The goal of env2list is to pull objects from the global environment in a
manner reminiscint of the popular tidyselect helpers.
You can install the released version of env2list from [GitHub with:
remotes::install_github("daranzolin/env2list")This is a basic example which shows you how to solve a common problem:
library(env2list)
library(nycflights13)
data("airlines")
data("airports")
data("airmiles")
data("airquality")
data("CO2")
ls()
#> [1] "airlines" "airmiles" "airports" "airquality" "CO2"
#> [6] "work_data"
air_dfs <- env_matches("^air")
#> airlines assigned to output.
#> airmiles assigned to output.
#> airports assigned to output.
#> airquality assigned to output.
names(air_dfs)
#> [1] "airlines" "airmiles" "airports" "airquality"
str(air_dfs, max.level = 1)
#> List of 4
#> $ airlines : tbl_df [16 × 2] (S3: tbl_df/tbl/data.frame)
#> $ airmiles : Time-Series [1:24] from 1937 to 1960: 412 480 683 1052 1385 ...
#> $ airports : tbl_df [1,458 × 8] (S3: tbl_df/tbl/data.frame)
#> ..- attr(*, "spec")=List of 3
#> .. ..- attr(*, "class")= chr "col_spec"
#> $ airquality:'data.frame': 153 obs. of 6 variables:
rm(air_dfs)
s_dfs <- env_ends_with("s")
#> airlines assigned to output.
#> airmiles assigned to output.
#> airports assigned to output.
names(s_dfs)
#> [1] "airlines" "airmiles" "airports"
str(s_dfs, max.level = 1)
#> List of 3
#> $ airlines: tbl_df [16 × 2] (S3: tbl_df/tbl/data.frame)
#> $ airmiles: Time-Series [1:24] from 1937 to 1960: 412 480 683 1052 1385 ...
#> $ airports: tbl_df [1,458 × 8] (S3: tbl_df/tbl/data.frame)
#> ..- attr(*, "spec")=List of 3
#> .. ..- attr(*, "class")= chr "col_spec"