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Generate a descriptive summary statistics table.

stat_tab.Rd

It is important to use variable label and value label to produce a proper descriptive table. Variables with value labels will be converted to ordered factor with same order as the value labels (to_factor). And variable labels will be used in the output. The first row will be blank with row names of variable label. Variable name will be used if the variable does not have a variable label.

Usage

stat_tab(
  vars,
  group = NULL,
  data,
  total = TRUE,
  select = NULL,
  add_missing = TRUE,
  digits = 2,
  digits_pct = 1,
  rounding_fn = signif_pad,
  render_num = "Median [Min, Max]",
  logical_na_impute = FALSE
)

Arguments

group

Name of the grouping variable.

data

A data.frame from which the variables in vars should be taken.

total

If a "Total" column will be created (default). Specify FALSE to omit the column.

select

a named vector with as many components as row-variables. Every element of `select` will be used to select the individuals to be analyzed for every row-variable. Name of the vector corresponds to the row variable, element is the selection.

add_missing

If missing number and missing percentage will be reported in the summary table, default is `TRUE`. This will also produce data missingness report if set TRUE. See report_missing for details.

digits

An integer specifying the number of significant digits to keep, default is 3.

digits_pct

An integer specifying the number of digits after the decimal place for percentages, default is 0.

rounding_fn

The function to use to do the rounding. Defaults is signif_pad. To round up by digits instead of significant values, set it to round_pad.

render_num

A character or vector indicating which summary will be reported, default is "Median [Min, Max]". You can change this to "Median [Q1, Q3]" then the median and IQR will be reported instead of "Median [Min, Max]". Use options(cctu_render_num = "Median [IQR]") to set global options. See details render_numeric num_stat.

logical_na_impute

Impute missing values with FALSE (default), NA keep as it is, or TRUE. The nominator for the logical vector is the number of TRUE. For FALSE or TRUE, the denominator will be all values regardless of missingness, but the non-missing number used as denominator for NA. Set it to FALSE if you want to summarise multiple choice variables and NA for Yes/No type logical variables but don't want No in the summary. You can used a named list in x and stack multiple choice in one category.

Value

An object of class "cttab".