Learn R Programming

infer (version 1.0.4)

hypothesize: Declare a null hypothesis

Description

Declare a null hypothesis about variables selected in specify().

Learn more in vignette("infer").

Usage

hypothesize(x, null, p = NULL, mu = NULL, med = NULL, sigma = NULL)

hypothesise(x, null, p = NULL, mu = NULL, med = NULL, sigma = NULL)

Value

A tibble containing the response (and explanatory, if specified) variable data with parameter information stored as well.

Arguments

x

A data frame that can be coerced into a tibble.

null

The null hypothesis. Options include "independence" and "point".

p

The true proportion of successes (a number between 0 and 1). To be used with point null hypotheses when the specified response variable is categorical.

mu

The true mean (any numerical value). To be used with point null hypotheses when the specified response variable is continuous.

med

The true median (any numerical value). To be used with point null hypotheses when the specified response variable is continuous.

sigma

The true standard deviation (any numerical value). To be used with point null hypotheses.

See Also

Other core functions: calculate(), generate(), specify()

Examples

Run this code
# hypothesize independence of two variables
gss %>%
 specify(college ~ partyid, success = "degree") %>%
 hypothesize(null = "independence")
 
# hypothesize a mean number of hours worked per week of 40
gss %>%
  specify(response = hours) %>%
  hypothesize(null = "point", mu = 40)

# more in-depth explanation of how to use the infer package
if (FALSE) {
vignette("infer")
}

Run the code above in your browser using DataLab