Calculates descriptive statistics
Calculates descriptive statistics depending on the class of its input.
statistics(x, ...)
## S3 method for class 'numeric'
statistics(x, statistics.numeric = NULL, ...)
## S3 method for class 'factor'
statistics(x, statistics.factor = NULL, ...)
## S3 method for class 'logical'
statistics(x, labels_TRUE_FALSE = atable_options("labels_TRUE_FALSE"), ...)
## S3 method for class 'character'
statistics(x, ...)
## S3 method for class 'ordered'
statistics(x, statistics.ordered = NULL, ...)
## S3 method for class 'count_me'
statistics(x, ...)x |
An object. Statistics will be calculated of |
... |
Passed from and to other methods. |
statistics.numeric |
Either |
statistics.factor |
Analog to argument statistics.numeric |
labels_TRUE_FALSE |
For relabeling logicals. See also |
statistics.ordered |
Analog to argument statistics.numeric |
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.
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.
format_statistics has a default method, which accepts lists. So the results of statistics can be a
named list with length > 0. The names of the list must have no duplicates.
Function check_statistics checks if the output of statistics is suitable for further processing.
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.
ordered: Casts x to factor, then applies statistics again.
count_me: Returns the length of x. For class 'count_me' see add_observation_column.
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