docs: update demo notebook

CONTRIBUTING.md

@@ -73,3 +73,11 @@ writeLines(pak::pkg_system_requirements("devtools", "ubuntu", "22.04"))
 
 To remove the local virtual Python environment, delete the `r-acro` folder.
 On GNU/Linux this is typically located in `~/.virtualenvs`
+
+## CRAN Submission
+
+A useful command to run before submitting:
+
+```shell
+R CMD build . && R CMD check --as-cran $(ls -t . | head -n1)
+```

acro_demo_2026.R

@@ -0,0 +1,100 @@
+## -----------------------------------------------------------------------------
+# Check if acro is installed
+if (!requireNamespace("acro", quietly = TRUE)) {
+  # If not installed, install it
+  install.packages("acro")
+}
+
+
+## -----------------------------------------------------------------------------
+library("acro")
+
+
+## -----------------------------------------------------------------------------
+acro_init()
+
+
+## -----------------------------------------------------------------------------
+data <- farff::readARFF("data/nursery.arff")
+data <- as.data.frame(data)
+
+names(data)[names(data) == "class"] <- "recommendation"
+
+
+## -----------------------------------------------------------------------------
+data$children <- as.numeric(as.character(data$children))
+data[is.na(data)] <- round(runif(sum(is.na(data)), min = 4, max = 10), 0)
+unique(data$children)
+
+
+## -----------------------------------------------------------------------------
+head(data)
+
+
+## -----------------------------------------------------------------------------
+rows <- data[, c("recommendation")]
+columns <- data[, c("parents")]
+
+table <- acro_table(index = rows, columns = columns, deparse.level = 1)
+table
+
+
+## -----------------------------------------------------------------------------
+
+acro_enable_suppression()
+table <- acro_table(index = rows, columns = columns, deparse.level = 1)
+table
+
+
+## -----------------------------------------------------------------------------
+myrows <- list(data[, c("parents")], data[, c("finance")])
+mycolumns <- data[, c("recommendation")]
+myvalues <- data[, c("children")]
+# convert the values to an array
+myvalues <- matrix(myvalues, ncol = 1)
+
+
+table4 <- acro_crosstab(
+  index = myrows,
+  columns = mycolumns,
+  values = myvalues,
+  aggfunc <- list("mean")
+)
+table4
+
+
+## -----------------------------------------------------------------------------
+
+help(package = "acro")
+
+
+## -----------------------------------------------------------------------------
+details <- acro_print_outputs()
+
+
+## -----------------------------------------------------------------------------
+acro_remove_output("output_0")
+
+
+## -----------------------------------------------------------------------------
+acro_rename_output("output_1", " crosstab_recommendation_vs_parents")
+acro_rename_output("output_2", "mean_children_by_parents_finance_vs_recommendation")
+
+
+## -----------------------------------------------------------------------------
+
+acro_add_comments(
+  "mean_children_by_parents_finance_vs_recommendation",
+  "too few cases of recommend to report"
+)
+
+
+## -----------------------------------------------------------------------------
+acro_custom_output("acro_demo_2026.R", "This is the code that produced this session")
+
+
+## -----------------------------------------------------------------------------
+myfolder <- "Routputs"
+suffix <- format(Sys.time(), "%e_%m_%Y_%H_%M")
+foldername <- paste(myfolder, suffix, sep = "_")
+acro_finalise(foldername, ext = "json")