| p_test {wpa} | R Documentation |
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)
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
|
Details
This function is a wrapper around wilcox.test() from 'stats'.
Value
Returns a numeric value representing the p-value outcome of the test.
Author(s)
Mark Powers mark.powers@microsoft.com
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")