Complete R function

R/frappeChart.R

 #' @import htmlwidgets
 #'
 #' @export
-frappeChart <- function(message, width = NULL, height = NULL, elementId = NULL) {
+frappeChart <- function(
+  data,
+  type = c("line", "bar", "pie", "percentage", "heatmap"),
+  title = "",
+  ...,
+  is_navigable = TRUE,
+  width = NULL,
+  height = 250,
+  elementId = NULL
+) {
 
   # forward options using x
   x = list(
-    message = message
+    title = title,
+    type = match.arg(type),
+    height = height,
+    data = data,
+    isNavigable = is_navigable,
+    ...
   )
 
   # create widget

dev/dev.Rmd

 ```
 
 Note: keep `htmlwidgets` in `src`!
+
+## Write the R function
+
+**FILE:** `R/frappeChart.r`
+
+Add appropriate arguments to `frappeChart()`.
+
+* [title](https://frappe.io/charts/docs/reference/configuration#title)
+* [type](https://frappe.io/charts/docs/reference/configuration#type)
+* [colors](https://frappe.io/charts/docs/reference/configuration#colors)?
+* [is_navigable](https://frappe.io/charts/docs/reference/configuration#isnavigable)
+
+Structure the argumets into `x` and pass `...` for the "extra bits".
+
+Rebuild the package,
+then create a new R markdown document:
+`js4shiny::js4shiny_doc()`.
+ 
+Move the code loading `dplyr`, `tidyr`, `babynames`
+and formatting the data.
+Then call `frappeCharts::frappeChart()`.
+
+Render and open dev tools in the browser to see that it "works".
+Meaning that the data and dependencies are included,
+but the chart won't.
+Point out the random ID.
+Then go back and change it so we can find the element better.
+

dev/widget_demo.Rmd

+---
+output: js4shiny::html_document_plain
+---
+
+```{r frappeChart}
+library(dplyr)
+library(tidyr)
+library(babynames)
+
+data <-
+  babynames %>% 
+  filter(
+    name %in% c("Ruth", "August"),
+    year >= 1980
+  ) %>% 
+  group_by(year, name) %>% 
+  summarize(n = sum(n)) %>% 
+  ungroup() %>% 
+  pivot_wider(year, name, values_from = n)
+
+frappeCharts::frappeChart(data, title = "This. Is. Awwesome.", elementId = "name-chart")
+```