output$RCT_plot <- renderPlot({
if (studyDesign()=="MB" & input$method=="RML" & "lme" %in% class(model_fit()$fit)) {
range <- time_range()$range
A <- input$A_time
B <- input$B_time
cases <- levels(datClean()$case)
sessions <- seq(from = range[1], to = range[2])
dat_RCT <- data.frame(case = rep(cases, each = length(sessions)),
session = sessions,
trt = as.integer(sessions > A),
session_trt = ifelse(sessions > A, sessions - A - 1, 0))
dat_RCT$phase <- levels(datClean()$phase)[dat_RCT$trt + 1]
graph_SCD(dat_RCT, design = studyDesign())
}
}, height = function() 120 * nlevels(datClean()$case),
width = function() 700)
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