Post-hoc and pairwise comparison report — posthoc_report • surveyframe

Post-hoc and pairwise comparison report

Usage

posthoc_report(
  data,
  method = c("anova", "kruskal_wallis", "chi_square", "cochran_q"),
  outcome = NULL,
  group = NULL,
  table_vars = NULL,
  measures = NULL,
  correction = c("holm", "bonferroni", "BH")
)

Arguments

data: A data.frame.
method: Comparison family. Supports "anova", "kruskal_wallis", "chi_square", and "cochran_q".
outcome: Outcome variable for group comparisons.
group: Grouping variable for group comparisons.
table_vars: Two categorical variables for chi-square residuals and pairwise proportion tests.
measures: Repeated binary measures for pairwise McNemar tests.
correction: Multiple-comparison correction.

Value

An object of class sframe_posthoc_report.

Examples

demo <- sframe_demo_data()
pr <- posthoc_report(demo$responses, method = "kruskal_wallis",
                      outcome = "sat_1", group = "visit_type")
pr$tables$pairwise_wilcox
#> 
#> 	Pairwise comparisons using Wilcoxon rank sum test with continuity correction 
#> 
#> data:  x[ok] and g[ok] 
#> 
#>        first_time
#> repeat 0.73      
#> 
#> P value adjustment method: holm