In EvaMaeRey/ggmemory: What the Package Does (One Line, Title Case)

This package addresses the question: Exactly how did we arrive at data analytic products (visualizations, summaries, models)?

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knitr::include_graphics("https://media1.giphy.com/media/777Aby0ZetYE8/giphy.gif?cid=ecf05e47fxfri9ro2qxy8i7jhnalmh6lsnmpabijv8e8oo5n&rid=giphy.gif&ct=g")

# This is the recommended set up for this {memory} package
# you might reset include = F for your book if you aren't wanting to communicate about knitr settings

knitr::opts_chunk$set(fig.width = 6, message = FALSE, warning = FALSE,
                      comment = "", cache = F, error = T)
library(flipbookr)
library(tidyverse)
library(ggmemory)

Code preparation

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history to code a list of code snippits.

# formatting script is a bit manual at this point
# Saved history in RStudio at least does not preserve user indentation
# User may use savehistory(file = "my_history.R") to recall history, 
# or send history manually from history pane to .R File
# then w/ .R script of interest open, restore indentation 
# (and get a lot of other nice formatting) via 
# rstudioapi::executeCommand("reformatCode")
# or Code -> Reformat Code from RStudio GUI
# here's the contents of one saved history that's been reformatted
readLines("./ggplots_script.R")

# then indentation will be ready for {memory}'s parsing
formatted_history_script <- "../R/my_history.R"

# looks for pipelines starting with gg*
my_executions <- r_code_extract_code_list(script_path = formatted_history_script)

my_executions

class: inverse, middle, center