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PopED

traceback

16: stop("Discrete value supplied to continuous scale", call. = FALSE)
15: scales::train_continuous(x, self$range)
14: f(..., self = self)
13: self$range$train(x)
12: f(..., self = self)
11: self$train(df[[aesthetic]])
10: f(..., self = self)

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str(ggpcol)
List of 9
 $ data       :'data.frame':	187 obs. of  5 variables:
  ..$ rownr        : Factor w/ 17 levels "17","16","15",..: 17 16 15 14 13 12 11 10 9 8 ...
  .. ..- attr(*, "scores")= num [1:17(1d)] 17 16 15 14 13 12 11 10 9 8 ...
  .. .. ..- attr(*, "dimnames")=List of 1
  .. .. .. ..$ : chr [1:17] "1" "2" "3" "4" ...
  ..$ variable     : Factor w/ 11 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 1 ...
  ..$ CatNr        : num [1:187] 0 0 0 0 0 0 0 0 0 0 ...
  ..$ data         : num [1:187] 31.5 33.8 16.7 68.5 17.7 ...

batpigandme

Faves

• Open Advice: FOSS - What We Wish We Had Known When We Started Edited by Lydia Pintscher (FREE online, and amazing! Also a great way to get a sense of some great people to follow in this space.)
• Producing Open Source Software: How to Run a Successful Free Software Project by Karl Fogel (A ton of great stuff in here, and nice and navigable for picking the relevant sections. Also FREE – I think all of this so far is free, so I'll stop mentioning it).

Blogs

• Social in silico by Lou Woodley (She also has a great library with resources I want to check out!)
• Jono Bacon's blog archive
• Denae Ford's blog
• [Dev Rel Bil

batpigandme

The difference between R and RStudio, with big ups to Modern Dive.

Does it work for you in the regular R GUI, but not when you're in RStudio?

For disambiguation/a good explanation of the relationship between R and RStudio, check out this chapter of Modern Dive: http://moderndive.com/2-getting-started.html

If you're using RStudio, you're using R — RStudio is just an IDE (Integrated Development Environment) in which you are using the R language. (On of my favourite figures from Modern Dive, below, illustrates the difference nicely).

batpigandme

# https://developer.github.com/v3/reactions/#list-reactions-for-an-issue
github_reactions <- function(owner, repo, number) {
  reactions_json <- gh::gh(
    "GET /repos/:owner/:repo/issues/:number/reactions",
    owner = owner,
    repo = repo,
    number = number,
    .send_headers = c(
      Accept = "application/vnd.github.squirrel-girl-preview+json")
    )

batpigandme

# 55th col is 54 games
unique(wide_win_pctg[[55]])
#> [1] 0.3148148 0.3518519 0.7222222 0.4259259 0.5925926 0.5370370 0.5000000 0.7592593 0.5185185 0.3333333 0.5555556 0.6296296 0.7037037
#> [14] 0.4814815 0.5740741

# 56th col is 55 games
unique(wide_win_pctg[[56]])
#> [1] 0.3090909 0.3454545 0.7090909 0.4181818 0.6000000 0.5272727 0.4909091 0.7636364 0.5454545 0.3272727 0.5636364 0.6363636

batpigandme

batpigandme

# fun with Aliza Aufrichtig's coördinator
# https://spotify.github.io/coordinator/

suppressPackageStartupMessages(library(tidyverse))
archness <- read_csv(here::here("coordinator.csv"), col_types = cols(x = col_double(),
                                                        y = col_double()))

ggplot(data = archness, aes(x = (-1 * y), y = (-1 * x))) +
  geom_point() +
  coord_flip() +

batpigandme

batpigandme

How do I choose a solution?

If your question has been answered, please mark the solution. That way, someone in the future can easily see what worked for you.

If you’re the original poster (OP), there should be a little box at the bottom of replies that you can click to select that response as your “solution.”