Added S3 method ard_total_n.survey.design()
which returns an ARD with both the survey-weighted and unweighted total sample size.
Added warning
and error
columns to ard_regression()
output. (#148)
Implemented cards::as_card()
where needed in the package to convert data frames to class 'card'. (#200)
ard_categorical.survey.design()
where all unweighted statistics were returned, even in the case where they were explicitly not requested.bt(pattern)
, reformulate2(pattern_term)
, reformulate2(pattern_response)
arguments have been deprecated and are now ignored. We now use make.names()
to determine whether a column name needs to be wrapped in backticks. (#192)ard_<pkgname>_<fnname>()
. This change is immediate: previous functions names have not been deprecated. (#106)ard_ttest() -> ard_stats_t_test()
ard_paired_ttest() -> ard_stats_paired_t_test()
ard_wilcoxtest() -> ard_stats_wilcox_test()
ard_paired_wilcoxtest() -> ard_stats_paired_wilcox_test()
ard_chisqtest() -> ard_stats_chisq_test()
ard_fishertest() -> ard_stats_fisher_test()
ard_kruskaltest() -> ard_stats_kruskal_test()
ard_mcnemartest() -> ard_stats_mcnemar_test()
ard_moodtest() -> ard_stats_mood_test()
The ard_categorical_ci(value)
argument has been added. Previously, only binary variables (0/1 or TRUE/FALSE) could be summarized. When a value is not supplied, each level of the variable is summarized independently. By default, binary variables will have the 1
/TRUE
level summarized.
Added the following functions for calculating Analysis Results Datasets (ARDs).
ard_stats_aov()
for calculating ANOVA results using stats::aov()
. (#3)ard_stats_anova()
for calculating ANOVA results using stats::anova()
. (#12)ard_stats_mcnemar_test_long()
for McNemar's test from long data using stats::mcnemar.test()
.ard_stats_prop_test()
for tests of proportions using stats::prop.test()
. (#64)ard_stats_t_test_onesample()
for calculating one-sample results.ard_stats_wilcox_test_onesample()
for calculating one-sample results.ard_stats_oneway_test()
for calculating ANOVA results using stats::oneway.test()
. (#3)ard_aod_wald_test()
for calculating Wald Tests for regression models using aod::wald.test()
. (#84)ard_car_anova()
for calculating ANOVA results using car::Anova()
. (#3)ard_car_vif()
for calculating the variance inflation factor using car::vif()
. (#10)ard_effectsize_cohens_d()
, ard_effectsize_paired_cohens_d()
, ard_effectsize_hedges_g()
, and ard_effectsize_paired_hedges_g()
for standardized differences using effectsize::cohens_d()
and effectsize::hedges_g()
. (#50)ard_emmeans_mean_difference()
for calculating the least-squares mean differences using the {emmeans} package. (#34)ard_smd_smd()
for calculating standardized mean differences using smd::smd()
. (#4)ard_survival_survfit()
for survival analyses using survival::survfit()
. (#43)ard_continuous.survey.design()
for calculating univariate summary statistics from weighted/survey data using many functions from the {survey} package. (#68)ard_categorical.survey.design()
for tabulating summary statistics from weighted/survey data using many functions from the {survey} package. (#140)ard_dichotomous.survey.design()
for tabulating dichotomous summary statistics from weighted/survey data using many functions from the {survey} package. (#2)ard_missing.survey.design()
for tabulating missing summary statistics from weighted/survey data using many functions from the {survey} package. (#2)ard_attributes.survey.design()
for summarizing labels and attributes from weighted/survey data using many functions from the {survey} package.ard_survey_svychisq()
for weighted/survey chi-squared test using survey::svychisq()
. (#72)ard_survey_svyttest()
for weighted/survey t-tests using survey::svyttest()
. (#70)ard_survey_svyranktest()
for weighted/survey rank tests using survey::svyranktest()
. (#71)ard_survival_survdiff()
for creating results from survival::survdiff()
. (#113)ard_regression_basic()
for basic regression models. The function focuses on matching model terms to underlying variables names. (#46)Updated functions ard_stats_t_test()
, ard_stats_paired_t_test()
, ard_stats_wilcox_test()
, ard_stats_paired_wilcox_test()
, ard_stats_chisq_test()
, ard_stats_fisher_test()
, ard_stats_kruskal_test()
, ard_stats_mcnemar_test()
, and ard_stats_mood_test()
to accept multiple variables at once. Independent tests are calculated for each variable. The variable
argument is renamed to variables
. (#77)
Updated ard_stats_t_test()
and ard_stats_wilcox_test()
to no longer require the by
argument, which yields central estimates with their confidence intervals. (#82)
Added model construction helpers, construct_model()
, reformulate2()
, bt()
, and bt_strip()
.
Imported cli call environment functions from https://github.com/ddsjoberg/standalone/blob/main/R/standalone-cli_call_env.R
and implemented set_cli_abort_call
in user-facing functions. (#111)