t_test_overlap: Test for differences in means/percentages between two...

In nrba: Methods for Conducting Nonresponse Bias Analysis (NRBA)

Test for differences in means/percentages between two potentially overlapping groups

Description

Test for differences in means/percentages between two potentially overlapping groups

Usage

t_test_overlap(
  survey_design,
  y_vars,
  na.rm = TRUE,
  status,
  group_1,
  group_2,
  null_difference = 0,
  alternative = "unequal",
  degrees_of_freedom = survey::degf(survey_design) - 1
)

Arguments

survey_design	A survey design object created with the survey package.
y_vars	Names of dependent variables for tests. For categorical variables, percentages of each category are tested.
na.rm	Whether to drop cases with missing values for a given dependent variable.
status	The name of the variable representing response/eligibility status.
group_1	Vector of values of status variable representing the first group
group_2	Vector of values of status variable representing the second group
null_difference	The hypothesized difference between the groups' means. Default is 0.
alternative	Can be one of the following: 'unequal': two-sided test of whether difference in means is equal to null_difference 'less': one-sided test of whether difference is less than null_difference 'greater': one-sided test of whether difference is greater than null_difference
degrees_of_freedom	The degrees of freedom to use for the test's reference distribution. Unless specified otherwise, the default is the design degrees of freedom minus one, where the design degrees of freedom are estimated using the survey package's degf method.

Value

A data frame describing the difference in group means/percentages and the statistics from the t-test

nrba documentation built on Nov. 21, 2023, 9:07 a.m.