![[Stable]](figures/lifecycle-stable.svg)
Formatting function for the majority of default methods used in analyze_vars().
For non-derived values, the significant digits of data is used (e.g. range), while derived
values have one more digits (measure of location and dispersion like mean, standard deviation).
This function can be called internally with "auto" like, for example,
.formats = c("mean" = "auto"). See details to see how this works with the inner function.
Arguments
- dt_var
(
numeric)
variable data the statistics were calculated from. Used only to find significant digits. In analyze_vars this comes from.df_row(see rtables::additional_fun_params), and it is the row data after the above row splits. No column split is considered.- x_stat
(
string)
string indicating the current statistical method used.
Details
The internal function is needed to work with rtables default structure for
format functions, i.e. function(x, ...), where is x are results from statistical evaluation.
It can be more than one element (e.g. for .stats = "mean_sd").
See also
Other formatting functions:
extreme_format,
format_count_fraction(),
format_count_fraction_fixed_dp(),
format_count_fraction_lt10(),
format_extreme_values(),
format_extreme_values_ci(),
format_fraction(),
format_fraction_fixed_dp(),
format_fraction_threshold(),
format_sigfig(),
format_xx(),
formatting_functions
Examples
x_todo <- c(0.001, 0.2, 0.0011000, 3, 4)
res <- c(mean(x_todo[1:3]), sd(x_todo[1:3]))
# x is the result coming into the formatting function -> res!!
format_auto(dt_var = x_todo, x_stat = "mean_sd")(x = res)
#> [1] "0.06737 (0.11486)"
format_auto(x_todo, "range")(x = range(x_todo))
#> [1] "0.0010 - 4.0000"
no_sc_x <- c(0.0000001, 1)
format_auto(no_sc_x, "range")(x = no_sc_x)
#> [1] "0.0000001 - 1.0000000"