Calculates descriptive statistics depending on the class of its input.
statistics(x, ...)# S3 method for numeric
statistics(x, ...)
# S3 method for factor
statistics(x, ...)
# S3 method for logical
statistics(x,
labels_TRUE_FALSE = atable_options("labels_TRUE_FALSE"), ...)
# S3 method for character
statistics(x, ...)
# S3 method for count_me
statistics(x, ...)
An object.
Passed from and to other methods.
For relabeling logicals. See also atable_options.
A named list with length > 0. The names of the list have no duplicates.
Function check_statistics checks if the output of statistics is suitable for further processing.
The results of statistics are passed to function format_statistics.
So the results of statistics must have a class for which the generic format_statistics has a method.
numeric: Descriptive statistics are: length, number of missing values, mean and standard deviation.
Class of the result is 'statistics_numeric' and there is a method format_statistics_to_Latex.statistics_numeric.
This function is meant for interval scaled variables.
factor: Counts the numbers of occurrences of the levels of x
with function table.
This function is meant for nominal and ordinal scaled variables.
logical: Casts x to factor, then applies statistics again. The labels for TRUE and FALSE can also be modfied by setting atable_options('labels_TRUE_FALSE').
character: Casts x to factor, then applies statistics again.
count_me: Returns the length of x. For class 'count_me' see add_observation_column.
Calculates descriptive statistics depending on the class of its input.
Results are passed to function format_statistics.
If you are not pleased with the current descriptive statistics you may alter these functions.
But you must keep the original output-format, see section Value.
Function check_statistics checks if the output of statistics is suitable for further processing.