karthik

What is this?

A scratchpad for a classifer of software libraries focussing on a number of areas that will guide users to make more informed decisions about whether to include a library within their own project.

See librariesio/libraries.io#1486 for more information.

Themes/Questions

There are a number of key themes here that we need to look at. Within each I have posed a number of questions that might be of interest to a developer or maintainer.

Code

• What scale is this project? - Looking at things like novel LoC, #dependencies and LoC in dependencies perhaps.

karthik

#' Convert a dplyr expression to a list of step objects
separate_steps <- function(expr, iscall=FALSE) {
  if (iscall) {
    call <- expr
  } else {
    call <- match.call()[["expr"]]
  }
  
  len <- length(call)
  if (len == 1) {

karthik

## Empty list -- just use the empty environment for this.
nil <- function() {
  emptyenv()
}

## Test if a list is the empty list:
is_empty <- function(lis) {
  identical(lis, nil())
}

karthik

Notes:

• I've tried to break up in to separate pieces, but it's not always possible: e.g. knowledge of data structures and subsetting are tidy intertwined.

• Level of Bloom's taxonomy listed in square brackets, e.g. http://bit.ly/15gqPEx. Few categories currently assess components higher in the taxonomy.

Programming R curriculum

Data structures