## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----------------------------------------------------------------------------- library(clinicalsignificance) antidepressants claus_2020 ## ----------------------------------------------------------------------------- # Basic clinical significance distribution analysis antidepressants |> cs_distribution(patient, measurement, mom_di, reliability = 0.80) ## ----------------------------------------------------------------------------- # Turning off the warning by specifying pre-measurement time cs_results <- antidepressants |> cs_distribution( patient, measurement, mom_di, pre = "Before", reliability = 0.80 ) ## ----------------------------------------------------------------------------- summary(cs_results) plot(cs_results) plot(cs_results, show = category) ## ----------------------------------------------------------------------------- # Clinical significance distribution analysis with more than two measurements cs_results <- claus_2020 |> cs_distribution( id, time, hamd, pre = 1, post = 4, reliability = 0.80 ) # Display the results cs_results summary(cs_results) plot(cs_results) ## ----------------------------------------------------------------------------- # Clinical significance distribution analysis with a different RCI method cs_results_ha <- claus_2020 |> cs_distribution( id, time, hamd, pre = 1, post = 4, reliability = 0.80, rci_method = "HA" ) # Display the results summary(cs_results_ha) plot(cs_results_ha) ## ----------------------------------------------------------------------------- # Grouped analysis cs_results_grouped <- claus_2020 |> cs_distribution( id, time, hamd, pre = 1, post = 4, group = treatment, reliability = 0.80 ) # Display the results summary(cs_results_grouped) plot(cs_results_grouped) ## ----------------------------------------------------------------------------- distribution_results_who <- claus_2020 |> cs_distribution( id = id, time = time, outcome = who, pre = 1, post = 4, reliability = 0.85, better_is = "higher" ) distribution_results_who # And plot the groups plot(distribution_results_who) ## ----------------------------------------------------------------------------- # Clinical significance distribution analysis with HLM method cs_results_hlm <- claus_2020 |> cs_distribution( id, time, hamd, rci_method = "HLM" ) # Display the results summary(cs_results_hlm) plot(cs_results_hlm)