desctable {desctable}

Generate a statistics table

Description

Generate a statistics table with the chosen statistical functions, and tests if given a "grouped" dataframe.

Usage

desctable(data, stats, tests, labels)

## Default S3 method:
desctable(data, stats = stats_auto, tests, labels = NULL)

## S3 method for class 'grouped_df'
desctable(data, stats = stats_auto, tests = tests_auto, labels = NULL)

Arguments

data

The dataframe to analyze

stats

A list of named statistics to apply to each element of the dataframe, or a function returning a list of named statistics

tests

A list of statistical tests to use when calling desctable with a grouped_df

labels

A named character vector of labels to use instead of variable names

Value

A desctable object, which prints to a table of statistics for all variables

Labels

labels is an option named character vector used to make the table prettier.

If given, the variable names for which there is a label will be replaced by their corresponding label.

Not all variables need to have a label, and labels for non-existing variables are ignored.

labels must be given in the form c(unquoted_variable_name = "label")

Stats

The stats can be a function which takes a dataframe and returns a list of statistical functions to use.

stats can also be a named list of statistical functions, or purrr::map like formulas.

The names will be used as column names in the resulting table. If an element of the list is a function, it will be used as-is for the stats.

Tests

The tests can be a function which takes a variable and a grouping variable, and returns an appropriate statistical test to use in that case.

tests can also be a named list of statistical test functions, associating the name of a variable in the data and a test to use specifically for that variable.

That test name must be expressed as a single-term formula (e.g. ~t.test), or a purrr::map like formula (e.g. ~t.test(., var.equal = T)). You don't have to specify tests for all the variables: a default test for all other variables can be defined with the name .default, and an automatic test can be defined with the name .auto.

If data is a grouped dataframe (using group_by), subtables are created and statistic tests are performed over each sub-group.

Output

The output is a desctable object, which is a list of named dataframes that can be further manipulated. Methods for printing, using in pander and DT are present. Printing reduces the object to a dataframe.

See Also

stats_auto

tests_auto

print.desctable

pander.desctable

datatable.desctable

Examples

iris %>%
  desctable()

# Does the same as stats_auto here
iris %>%
  desctable(stats = list("N"      = length,
                         "Mean"   = ~ if (is.normal(.)) mean(.),
                         "sd"     = ~ if (is.normal(.)) sd(.),
                         "Med"    = stats::median,
                         "IQR"    = ~ if(!is.factor(.)) IQR(.)))

# With labels
mtcars %>% desctable(labels = c(hp  = "Horse Power",
                                cyl = "Cylinders",
                                mpg = "Miles per gallon"))

# With grouping on a factor
iris %>%
  group_by(Species) %>%
  desctable(stats = stats_default)

# With nested grouping, on arbitrary variables
mtcars %>%
  group_by(vs, cyl) %>%
  desctable()

# With grouping on a condition, and choice of tests
iris %>%
  group_by(Petal.Length > 5) %>%
  desctable(tests = list(.auto = tests_auto, Species = ~chisq.test))