compute and apply optimized widths and heights
(minimum estimated widths and heights for each table columns and rows
in inches returned by function dim_pretty()).
This function is to be used when the table widths and heights should automatically be adjusted to fit the size of the content.
autofit(x, add_w = 0.1, add_h = 0.1, part = c("body", "header"))
Arguments
| x | flextable object |
|---|---|
| add_w | extra width to add in inches |
| add_h | extra height to add in inches |
| part | partname of the table (one of 'all', 'body', 'header' or 'footer') |
Note
This function is not related to 'Microsoft Word' Autofit feature.
line breaks
Soft returns (a line break in a paragraph) are not supported. Function
autofit will return wrong results if \n are used (they will be
considered as "").
Illustrations
See also
Other flextable dimensions:
dim.flextable(),
dim_pretty(),
fit_to_width(),
flextable_dim(),
height(),
hrule(),
ncol_keys(),
nrow_part(),
set_table_properties(),
width()
Examples
#> a flextable object. #> col_keys: `mpg`, `cyl`, `disp`, `hp`, `drat`, `wt`, `qsec`, `vs`, `am`, `gear`, `carb` #> header has 1 row(s) #> body has 6 row(s) #> original dataset sample: #> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 #> Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 #> Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1 #> Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 #> Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2ft_2 <- autofit(ft_1) ft_2#> a flextable object. #> col_keys: `mpg`, `cyl`, `disp`, `hp`, `drat`, `wt`, `qsec`, `vs`, `am`, `gear`, `carb` #> header has 1 row(s) #> body has 6 row(s) #> original dataset sample: #> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4 #> Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4 #> Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1 #> Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1 #> Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2