toString method for listing_df object
Usage
# S4 method for listing_df
toString(x, widths = NULL, col_gap = 3, hsep = default_hsep())
Arguments
- x
listing_df object
- widths
numeric (or NULL). (proposed) widths for the columns of
x
. The expected length of this numeric vector can be retrieved withncol() + 1
as the column of row names must also be considered.- col_gap
numeric(1). Space (in characters) between columns
- hsep
character(1). Characters to repeat to create header/body separator line.
Examples
lsting <- as_listing(mtcars)
#> sorting incoming data by key columns
toString(lsting)
#> [1] "———————————————————————————————————————————————————————————————————————\nmpg cyl disp hp drat wt qsec vs am gear carb\n———————————————————————————————————————————————————————————————————————\n10.4 8 472 205 2.93 5.25 17.98 0 0 3 4 \n 8 460 215 3 5.424 17.82 0 0 3 4 \n13.3 8 350 245 3.73 3.84 15.41 0 0 3 4 \n14.3 8 360 245 3.21 3.57 15.84 0 0 3 4 \n14.7 8 440 230 3.23 5.345 17.42 0 0 3 4 \n15 8 301 335 3.54 3.57 14.6 0 1 5 8 \n15.2 8 275.8 180 3.07 3.78 18 0 0 3 3 \n 8 304 150 3.15 3.435 17.3 0 0 3 2 \n15.5 8 318 150 2.76 3.52 16.87 0 0 3 2 \n15.8 8 351 264 4.22 3.17 14.5 0 1 5 4 \n16.4 8 275.8 180 3.07 4.07 17.4 0 0 3 3 \n17.3 8 275.8 180 3.07 3.73 17.6 0 0 3 3 \n17.8 6 167.6 123 3.92 3.44 18.9 1 0 4 4 \n18.1 6 225 105 2.76 3.46 20.22 1 0 3 1 \n18.7 8 360 175 3.15 3.44 17.02 0 0 3 2 \n19.2 6 167.6 123 3.92 3.44 18.3 1 0 4 4 \n 8 400 175 3.08 3.845 17.05 0 0 3 2 \n19.7 6 145 175 3.62 2.77 15.5 0 1 5 6 \n21 6 160 110 3.9 2.62 16.46 0 1 4 4 \n 6 160 110 3.9 2.875 17.02 0 1 4 4 \n21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 \n 4 121 109 4.11 2.78 18.6 1 1 4 2 \n21.5 4 120.1 97 3.7 2.465 20.01 1 0 3 1 \n22.8 4 108 93 3.85 2.32 18.61 1 1 4 1 \n 4 140.8 95 3.92 3.15 22.9 1 0 4 2 \n24.4 4 146.7 62 3.69 3.19 20 1 0 4 2 \n26 4 120.3 91 4.43 2.14 16.7 0 1 5 2 \n27.3 4 79 66 4.08 1.935 18.9 1 1 4 1 \n30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 \n 4 95.1 113 3.77 1.513 16.9 1 1 5 2 \n32.4 4 78.7 66 4.08 2.2 19.47 1 1 4 1 \n33.9 4 71.1 65 4.22 1.835 19.9 1 1 4 1 \n\n———————————————————————————————————————————————————————————————————————\n"