## alternative hypothesis options
ct_check <- c(
"Observed" = "observed", "Expected" = "expected",
"Chi-squared" = "chi_sq", "Deviation std." = "dev_std",
"Row percentages" = "row_perc",
"Column percentages" = "col_perc",
"Table percentages" = "perc"
)
## list of function arguments
ct_args <- as.list(formals(cross_tabs))
## list of function inputs selected by user
ct_inputs <- reactive({
## loop needed because reactive values don't allow single bracket indexing
ct_args$data_filter <- if (input$show_filter) input$data_filter else ""
ct_args$dataset <- input$dataset
for (i in r_drop(names(ct_args))) {
ct_args[[i]] <- input[[paste0("ct_", i)]]
}
ct_args
})
###############################
# Cross-tabs
###############################
output$ui_ct_var1 <- renderUI({
vars <- c("None" = "", groupable_vars())
selectInput(
inputId = "ct_var1", label = "Select a categorical variable:",
choices = vars, selected = state_single("ct_var1", vars), multiple = FALSE
)
})
output$ui_ct_var2 <- renderUI({
if (not_available(input$ct_var1)) {
return()
}
vars <- c("None" = "", groupable_vars())
if (length(vars) > 0) vars <- vars[-which(vars == input$ct_var1)]
selectInput(
inputId = "ct_var2", label = "Select a categorical variable:",
selected = state_single("ct_var2", vars),
choices = vars, multiple = FALSE
)
})
output$ui_cross_tabs <- renderUI({
# req(input$dataset)
tagList(
wellPanel(
conditionalPanel(
condition = "input.tabs_cross_tabs == 'Summary'",
uiOutput("ui_ct_var1"),
uiOutput("ui_ct_var2")
),
br(),
checkboxGroupInput(
"ct_check", NULL,
choices = ct_check,
selected = state_group("ct_check"),
inline = FALSE
)
),
help_and_report(
modal_title = "Cross-tabs",
fun_name = "cross_tabs",
help_file = inclMD(file.path(getOption("radiant.path.basics"), "app/tools/help/cross_tabs.md"))
)
)
})
ct_plot <- reactive({
list(plot_width = 650, plot_height = 400 * max(length(input$ct_check), 1))
})
ct_plot_width <- function() {
ct_plot() %>%
(function(x) if (is.list(x)) x$plot_width else 650)
}
ct_plot_height <- function() {
ct_plot() %>%
(function(x) if (is.list(x)) x$plot_height else 400)
}
## output is called from the main radiant ui.R
output$cross_tabs <- renderUI({
register_print_output("summary_cross_tabs", ".summary_cross_tabs")
register_plot_output(
"plot_cross_tabs", ".plot_cross_tabs",
height_fun = "ct_plot_height",
width_fun = "ct_plot_width"
)
## two separate tabs
ct_output_panels <- tabsetPanel(
id = "tabs_cross_tabs",
tabPanel("Summary", verbatimTextOutput("summary_cross_tabs")),
tabPanel(
"Plot",
download_link("dlp_cross_tabs"),
plotOutput("plot_cross_tabs", width = "100%", height = "100%")
)
)
stat_tab_panel(
menu = "Basics > Tables",
tool = "Cross-tabs",
tool_ui = "ui_cross_tabs",
output_panels = ct_output_panels
)
})
ct_available <- reactive({
if (not_available(input$ct_var1) || not_available(input$ct_var2)) {
"This analysis requires two categorical variables. Both must have two or more levels.\nIf these variable types are not available please select another dataset.\n\n" %>%
suggest_data("newspaper")
} else {
"available"
}
})
.cross_tabs <- reactive({
cti <- ct_inputs()
cti$envir <- r_data
do.call(cross_tabs, cti)
})
.summary_cross_tabs <- reactive({
if (ct_available() != "available") {
return(ct_available())
}
summary(.cross_tabs(), check = input$ct_check)
})
.plot_cross_tabs <- reactive({
if (ct_available() != "available") {
return(ct_available())
}
validate(need(input$ct_check, "\n\n\n Nothing to plot. Please select a plot type"))
withProgress(message = "Generating plots", value = 1, {
plot(.cross_tabs(), check = input$ct_check, shiny = TRUE)
})
})
cross_tabs_report <- function() {
if (is.empty(input$ct_var1) || is.empty(input$ct_var2)) {
return(invisible())
}
inp_out <- list("", "")
if (length(input$ct_check) > 0) {
outputs <- c("summary", "plot")
inp_out[[1]] <- list(check = input$ct_check)
inp_out[[2]] <- list(check = input$ct_check, custom = FALSE)
figs <- TRUE
} else {
outputs <- "summary"
inp_out[[1]] <- list(check = "")
figs <- FALSE
}
update_report(
inp_main = clean_args(ct_inputs(), ct_args),
inp_out = inp_out,
fun_name = "cross_tabs",
outputs = outputs,
figs = figs,
fig.width = ct_plot_width(),
fig.height = ct_plot_height()
)
}
download_handler(
id = "dlp_cross_tabs",
fun = download_handler_plot,
fn = function() paste0(input$dataset, "_cross_tabs"),
type = "png",
caption = "Save cross-tabs plot",
plot = .plot_cross_tabs,
width = ct_plot_width,
height = ct_plot_height
)
observeEvent(input$cross_tabs_report, {
r_info[["latest_screenshot"]] <- NULL
cross_tabs_report()
})
observeEvent(input$cross_tabs_screenshot, {
r_info[["latest_screenshot"]] <- NULL
radiant_screenshot_modal("modal_cross_tabs_screenshot")
})
observeEvent(input$modal_cross_tabs_screenshot, {
cross_tabs_report()
removeModal() ## remove shiny modal after save
})
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