wpa (version 1.9.0)

p_test: Calculate the p-value of the null hypothesis that two outcomes are from the same dataset

Description

Specify an outcome variable and return p-test outputs. All numeric variables in the dataset are used as predictor variables.

Usage

p_test(data, outcome, behavior, paired = FALSE)

Value

Returns a numeric value representing the p-value outcome of the test.

Arguments

data

A Person Query dataset in the form of a data frame.

outcome

A string specifying the name of a binary variable, i.e. can only contain the values 1 or 0. Used to group the two distributions.

behavior

A character vector specifying the column to be used as the behavior to test.

paired

Specify whether the dataset is paired or not. Defaults to TRUE.

Author

Mark Powers

Details

This function is a wrapper around wilcox.test() from 'stats'.

See Also

Other Support: camel_clean(), check_inputs(), combine_signals(), cut_hour(), extract_date_range(), extract_hr(), heat_colours(), is_date_format(), maxmin(), pairwise_count(), plot_WOE(), read_preamble(), rgb2hex(), totals_bind(), totals_col(), totals_reorder(), tstamp(), us_to_space(), wrap()

Examples

# Simulate a binary variable X
# Returns a single p-value
library(dplyr)
sq_data %>%
  mutate(X = ifelse(Email_hours > 6, 1, 0)) %>%
  p_test(outcome = "X", behavior = "External_network_size")