Create a flextable object with function flextable
.
flextable
are designed to make tabular reporting easier for
R users. Functions are available to let you format text, paragraphs and cells;
table cells can be merge vertically or horizontally, row headers can easilly
be defined, rows heights and columns widths can be manually set or automatically
computed.
Default formatting properties are automatically applied to every
flextable you produce. You can change these default values with
function set_flextable_defaults()
.
flextable( data, col_keys = names(data), cwidth = 0.75, cheight = 0.25, defaults = list(), theme_fun = theme_booktabs ) qflextable(data) regulartable(data, col_keys = names(data), cwidth = 0.75, cheight = 0.25)
data | dataset |
---|---|
col_keys | columns names/keys to display. If some column names are not in the dataset, they will be added as blank columns by default. |
cwidth, cheight | initial width and height to use for cell sizes in inches. |
defaults, theme_fun | deprecated, use |
A flextable
is made of 3 parts: header, body and footer.
Most functions have an argument named part
that will be used
to specify what part of of the table should be modified.
Function regulartable
is maintained for compatibility with old codes
mades by users but be aware it produces the same exact object than flextable
.
This function should be deprecated then removed in the next versions.
qflextable
is a convenient tool to produce quickly
a flextable for reporting where layoout is fixed and columns
widths adjusted with autofit()
.
#> 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