Nothing
model <- eventReactive(input$submit_regress, {
data <- final_split$train
k <- glm(input$regress_fmla, data = data, family = binomial(link = "logit"))
k
})
d_regress <- eventReactive(input$submit_regress, {
data <- final_split$train
k <- blr_regress(input$regress_fmla, data = data)
k
})
r1_title <- eventReactive(input$submit_regress, {
column(12, align = 'center', h4('Regression Result'))
})
output$reg1_title <- renderUI({
r1_title()
})
output$regress_out <- renderPrint({
d_regress()
})
# model fit statistics
result <- eventReactive(input$submit_mfs, {
if (input$mfs_use_prev) {
k <- model()
} else {
data <- final_split$train
k <- glm(input$mfs_fmla, data = data, family = binomial(link = "logit"))
}
return(blorr::blr_model_fit_stats(k))
})
output$mfs <- renderPrint({
result()
})
# multiple model fit statistics
mmfs_result <- eventReactive(input$submit_mmfs, {
data <- final_split$train
m1 <- glm(input$mmfs_fmla_1, data = data, family = binomial(link = "logit"))
m2 <- glm(input$mmfs_fmla_2, data = data, family = binomial(link = "logit"))
blorr::blr_multi_model_fit_stats(m1, m2)
})
output$mmfs <- renderPrint({
mmfs_result()
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.