batpigandme

#' @importFrom stringr str_sub<- str_replace_all str_extract_all str_locate_all
#' @importFrom purrr map_chr map2_chr
ji_glue_one <- function(txt){
  rx <- ":[^:]*:[*]?"
  pos <- str_locate_all(txt, rx)[[1]]

  chunks <- str_extract_all(txt, rx)[[1]]
  list   <- str_detect( chunks, "[*]$")
  chunks <- str_replace_all( chunks,  ":[*]?", "")

batpigandme

## So you (don't) think you can review a package

As with so many things in life, I went into the package-reviewing process worried that I'd somehow ruin it— not just the package itself, but the actual onboarding infrastructure...maybe even rOpenSci on the whole.

Barring the destruction of someone else's hard work and/or an entire organization, I was fairly confident that I'd have little to offer in the way of useful advice. _What if I have absolutely nothing to say other than, yes, this is, in fact, a package?!_

![rOpenSci package review: what I imagined](https://i.imgur.com/np59m8Z.png)

So, step one (for me) was: confess my inadequacies and seek advice. It turns out that much of the advice vis-à-vis _how to review a package_ is baked right into the documents. The [reviewer template](https://github.com/ropensci/onboarding/blob/master/reviewer_template.md) is a great trail map, the utility of which is fleshed out in the [rOpenSci Package Reviewing Guide](https://github.com/ropensci/onboarding/blob/master/r

batpigandme

---
title: "Random Forests in R"
output: html_notebook
---

From [**Random Forests in R**](https://datascienceplus.com/random-forests-in-r/) by [Anish Singh Walia](https://datascienceplus.com/author/anish-singh-walia/) (@[anish_walia](https://twitter.com/anish_walia)), via [**DataScience+**](https://datascienceplus.com).

# Implementation in R

```{r message=FALSE}

batpigandme

library(emo)
library(stringr)
library(purrr)

emoji_name <- emo:::emoji_name
emoji_keyword <- emo:::emoji_keyword

maybe_emoji <- function( keyword ){
  if (keyword %in% names(emoji_name)) {

batpigandme

pre .operator,
pre .paren {
 color: #eaeaea
}

pre .literal {
 color: #990073
}

pre .number {

batpigandme

batpigandme

[
    {"term": "yeah ", "value": 1373},
    {"term": "archer ", "value": 926},
    {"term": "god ", "value": 867},
    {"term": "lana ", "value": 810},
    {"term": "wait ", "value": 788},
    {"term": "uh ", "value": 778},
    {"term": "gonna ", "value": 664},
    {"term": "cyril ", "value": 563},
    {"term": "hey ", "value": 536},

batpigandme

* installing *source* package ‘nbastatR’ ...
** R
** tests
** preparing package for lazy loading
Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : 
  there is no package called ‘curlconverter’
ERROR: lazy loading failed for package ‘nbastatR’
* removing ‘/Users/maraaverick/Library/R/3.3/library/nbastatR’
Error: Command failed (1)

batpigandme

Error in mutate_impl(.data, dots) : STRING_ELT() can only be applied to a 'character vector', not a 'NULL'
26.
mutate_impl(.data, dots)
25.
mutate.tbl_df(., instance = row_number(term))
24.
mutate(., instance = row_number(term))
23.
function_list[[1L]](value)
22.

batpigandme

Keybase proof

I hereby claim:

• I am batpigandme on github.
• I am maraaverick (https://keybase.io/maraaverick) on keybase.
• I have a public key ASBGZYlMVMOAmXm5NnWjniIDny002jlVi144EAtWkvcz9wo

To claim this, I am signing this object: