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July 16, 2019 21:27
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Server function for non-reproducible app
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# Create a linear model | |
model_reactive <- reactive({ | |
validate(need(is.character(input$select_regressor), "Cannot work without selected column")) | |
regressors <- Reduce(function(x, y) call("+", x, y), rlang::syms(input$select_regressor)) | |
formula_value <- rlang::new_formula(rlang::sym("AVAL"), regressors) | |
event_data_filtered <- event_data %>% dplyr::filter(PARAMCD == input$filter_param) | |
ads_selected <- pat_data %>% dplyr::select(dplyr::one_of(c(input$select_regressor, c("SUBJID", "STUDYID")))) | |
anl <- merge(ads_selected, event_data_filtered, by = c("SUBJID", "STUDYID")) | |
lm(formula = formula_value, data = anl) | |
}) | |
# Plot Regression vs fitted | |
output$plot1 <- renderPlot({ | |
plot(model_reactive(), which = 1) | |
}) | |
# show model summary | |
output$text1 <- renderPrint({ | |
model_reactive() %>% summary() | |
}) |
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