Nothing
## ----setup, include=FALSE---------------------------------------------------------------------------------------------
knitr::opts_chunk$set(eval = FALSE)
## ---------------------------------------------------------------------------------------------------------------------
# suppressPackageStartupMessages({
# library(purrr)
# library(crunch)
# })
#
# options("crunch.show.progress" = FALSE)
#
# ds <- newExampleDataset()
## ---------------------------------------------------------------------------------------------------------------------
# deck <- newDeck(ds, "Q3 Pets Deck", is_public = TRUE)
# private_deck <- newDeck(ds, "Private Deck")
#
# # If no `vizType` is specified, defaults to a table
# slide <- newSlide(deck, ~q1, title = "Table of Favorite Pet")
#
# # Example of setting a vizType and filter
# slide <- newSlide(
# deck,
# mean(ndogs) ~ country,
# title = "Dot Plot of Mean Dogs by Country",
# display_settings = list(vizType = "dotplot"),
# filter = ds$q1 == "Dog"
# )
#
# deck <- refresh(deck)
## ---------------------------------------------------------------------------------------------------------------------
# ds <- refresh(ds)
# decks(ds)
#
# private_deck <- decks(ds)[["Private Deck"]]
#
# slide <- newSlide(
# private_deck,
# ~q1,
# title = "Bar Plot of Favorite Pet",
# display_settings = list(vizType = "groupedBarPlot")
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newMarkdownSlide(deck, "This survey included **10,000 participants**!", title = "About")
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newMarkdownSlide(
# deck,
# "This survey was collected by ACME surveys",
# markdownSlideImage("acme-logo.png"),
# )
## ---------------------------------------------------------------------------------------------------------------------
# # Move title to subtitle and change the title
# slide <- slides(deck)[["Table of Favorite Pet"]]
# subtitle(slide) <- title(slide)
# title(slide) <- "Cats are the most popular"
#
#
# # Rename a category
# slide <- slides(deck)[[2]]
# transforms(slide) <- list(
# rows_dimension = makeDimTransform(rename = c("AUS" = "Australia"))
# )
#
#
# # Edit a markdown slide
# slide <- slides(deck)[[3]]
# slideMarkdown(slide) <- "**Replacement text**"
## ---- include=FALSE---------------------------------------------------------------------------------------------------
# ### Reordering slides on a deck
# #### Problem
# # You want to rearrange the order slides on an existing deck.
#
# #### Solution
# # TODO: This is not currently possible from R :(
# # (Note this controls the order of the slides in a deck, which controls how they appear in the web app's
# # deck viewer and Excel and PowerPoint exports, but does not change order or position of an existing
# # Crunch Dashboard)
## ---------------------------------------------------------------------------------------------------------------------
# slide <- slides(deck)[[1]]
#
# if (FALSE) { # Not actually run for example
# delete(slide)
# }
## ---------------------------------------------------------------------------------------------------------------------
# is.public(private_deck) <- TRUE # now public
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~q1,
# title = "Univariate frequency: Favorite Pet"
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~q1 + country,
# title = "Bivariate frequency: Favorite Pet by country"
# )
#
# # A third dimension is possible, which will usually result in a tabbed result:
# slide <- newSlide(
# deck,
# ~q1 + country + wave,
# title = "Trivariate frequency: Favorite Pet by country by wave"
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~allpets,
# title = "Categorical array: default order"
# )
#
# slide <- newSlide(
# deck,
# ~categories(allpets) + subvariables(allpets),
# title = "Categorical array: categories on rows dimension"
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# mean(ndogs) ~ 1,
# title = "Mean Number of Dogs"
# )
#
# slide <- newSlide(
# deck,
# mean(ndogs) ~ country,
# title = "Mean Number of Dogs by Country"
# )
## ---------------------------------------------------------------------------------------------------------------------
# # There's only one MR available on this dataset, so we repeat the same one twice to illustrate
# slide <- newSlide(
# deck,
# ~scorecard(allpets, allpets),
# title = "Scorecard"
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~q1,
# title = "Favorite pet using default palette",
# display_settings = list(vizType = "groupedBarPlot"),
# transform = list(
# rows_dimension = makeDimTransform(colors = defaultPalette(ds))
# )
# )
#
# graph_pal <- palettes(ds)[["purple palette"]]
# slide <- newSlide(
# deck,
# ~categories(petloc) + subvariables(petloc),
# title = "Pets by location using another palette",
# display_settings = list(vizType = "horizontalBarPlot"),
# transform = list(
# rows_dimension = makeDimTransform(colors = graph_pal)
# )
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~q1,
# title = "Favorite pet using colors from R",
# display_settings = list(vizType = "groupedBarPlot"),
# transform = list(
# rows_dimension = makeDimTransform(colors = c("#af8dc3", "#f7f7f7", "#7fbf7b"))
# )
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~q1,
# title = "Favorite pet excluding birds",
# display_settings = list(vizType = "groupedBarPlot"),
# transform = list(
# rows_dimension = makeDimTransform(hide = "Bird")
# )
# )
## ---------------------------------------------------------------------------------------------------------------------
# slide <- newSlide(
# deck,
# ~q1 + country,
# title = "Favorite pet by country horizontal bar plot",
# display_settings = list(vizType = "horizontalBarPlot")
# )
#
#
# slide <- newSlide(
# deck,
# ~q1 + wave,
# title = "Favorite pet over time timeplot",
# display_settings = list(vizType = "timeplot")
# )
## ---------------------------------------------------------------------------------------------------------------------
# template_deck <- newDeck(ds, "Templates", is_public = TRUE)
# slide <- newSlide(
# template_deck,
# ~q1,
# title = "Donut with value labels",
# display_settings = list(vizType = "donut", showValueLabels = TRUE),
# viz_specs = list(
# default = list(
# format = list(
# decimal_places = list(percentages = 0L, other = 2L),
# show_empty = FALSE
# )
# )
# )
# )
#
# # Setting the slide `display_setting` and `viz_specs` directly:
# slide <- newSlide(
# deck,
# ~country,
# title = "Country donut with value labels",
# display_settings = displaySettings(template_deck[["Donut with value labels"]]),
# viz_specs = vizSpecs(template_deck[["Donut with value labels"]])
# )
#
# # How to print out the structure in a format that can be copy and pasted into your code
# print(dput(displaySettings(template_deck[["Donut with value labels"]])))
## ---------------------------------------------------------------------------------------------------------------------
# deck <- newDeck(ds, "Full Dataset Topline Deck", is_public = TRUE)
#
# var_aliases <- aliases(variables(ds))
#
# slides <- lapply(var_aliases, function(alias) {
# slide_query <- as.formula(paste0("~", alias))
# slide_title <- paste0("Topline - ", name(ds[[alias]]))
#
# newSlide(deck, slide_query, title = slide_title)
# })
## ---------------------------------------------------------------------------------------------------------------------
# deck <- newDeck(ds, "Folder Topline Deck", is_public = TRUE)
#
# folder <- cd(ds, "Key Pet Indicators")
# var_aliases <- aliases(variables(folder))
#
# slides <- lapply(var_aliases, function(alias) {
# slide_query <- as.formula(paste0("~", alias))
# slide_title <- paste0("Topline - ", name(ds[[alias]]))
#
# newSlide(deck, slide_query, title = slide_title)
# })
## ---------------------------------------------------------------------------------------------------------------------
# deck <- newDeck(ds, "Crosstabs Deck", is_public = TRUE)
#
# demo_vars <- aliases(variables(cd(ds, "Dimensions")))
# var_aliases <- setdiff(aliases(variables(ds)), demo_vars) # don't cross demo vars with themselves
#
# slides <- lapply(var_aliases, function(alias) {
# # Add a slide before crosstabs of the univariate frequency
# all_query <- as.formula(paste0("~", alias))
# all_title <- paste0("Frequency - ", name(ds[[alias]]))
#
# newSlide(deck, all_query, title = all_title)
#
# lapply(demo_vars, function(demo_alias) {
# crosstab_query <- as.formula(paste0("~", demo_alias, " + ", alias))
# crosstab_title <- paste0("Crosstab - ", name(ds[[alias]]), " by ", name(ds[[demo_alias]]))
#
# newSlide(deck, crosstab_query, title = crosstab_title)
# })
# })
## ---------------------------------------------------------------------------------------------------------------------
# cat_slide <- function(alias, ds, deck) {
# slide_query <- as.formula(paste0("~", alias))
# slide_title <- paste0(name(ds[[alias]]))
# newSlide(
# deck,
# slide_query,
# title = slide_title,
# display_settings = list(vizType = "donut")
# )
# }
#
# mr_slide <- function(alias, ds, deck) {
# slide_query <- as.formula(paste0("~", alias))
# slide_title <- paste0(name(ds[[alias]]))
# newSlide(
# deck,
# slide_query,
# title = slide_title,
# display_settings = list(vizType = "groupedBarPlot")
# )
# }
#
# numeric_slide <- function(alias, ds, deck) {
# slide_query <- as.formula(paste0("mean(", alias, ") ~ wave"))
# slide_title <- paste0(name(ds[[alias]]), " over time")
# newSlide(
# deck,
# slide_query,
# title = slide_title,
# display_settings = list(vizType = "timeplot")
# )
# }
#
# deck <- newDeck(ds, "Slides Customized by Variable Type", is_public = TRUE)
#
# var_aliases <- c("q1", "allpets", "ndogs")
# slides <- lapply(var_aliases, function(alias) {
# switch(
# type(ds[[alias]]),
# "categorical" = cat_slide(alias, ds, deck),
# "multiple_response" = mr_slide(alias, ds, deck),
# "numeric" = numeric_slide(alias, ds, deck),
# )
# })
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