read.str and read_str read the structure printed
when utils::str.data.frame() back into a data frame.
read.str(file = clipr::read_clip()) read_str(file = clipr::read_clip())
| file | Character. A path to a file, a connection, or literal data (either a single string or a vector of lines). If unspecified, reads from the clipboard. |
|---|
A data frame of the class specified in the first line of input.
read.str and read_str are roughly inverses of str.data.frame, except:
read.str subsets to rows where the str results contain the complete
data for the observation,
attributes are dropped, and
list and matrix columns are unsupported.
Classes at the top of the str results are reassigned, so both vanilla
data.frames and variants like tbl_df and data.table are supported.
Because class is determined by the data, read_str is merely an alias.
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3.0 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5.0 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosa #> 7 4.6 3.4 1.4 0.3 setosa #> 8 5.0 3.4 1.5 0.2 setosa #> 9 4.4 2.9 1.4 0.2 setosa #> 10 4.9 3.1 1.5 0.1 setosa# Resulting class is determined by input, not read.str vs. read_str read_str(capture.output(str(tibble::as_tibble(iris))))#> # A tibble: 10 x 5 #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> * <dbl> <dbl> <dbl> <dbl> <fct> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosa #> 7 4.6 3.4 1.4 0.3 setosa #> 8 5 3.4 1.5 0.2 setosa #> 9 4.4 2.9 1.4 0.2 setosa #> 10 4.9 3.1 1.5 0.1 setosa