https://github.com/apreshill/explore-libraries
https://github.com/apreshill/explore-libraries
Last synced: 10 days ago
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- Host: GitHub
- URL: https://github.com/apreshill/explore-libraries
- Owner: apreshill
- Created: 2018-10-04T20:58:40.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-10-05T21:17:01.000Z (over 7 years ago)
- Last Synced: 2025-03-05T12:48:23.587Z (over 1 year ago)
- Language: R
- Size: 262 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
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README
---
output: github_document
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
library(tidyverse)
```
# packages-report
## Workshop challenge checklist
*As you complete tasks, you can ~~cross them out~~ by surrounding with `~~`.*
* Have a look around the files here. Where are the R scripts? What are the directories `data` and `figs` for?
* Notice that this README is an `.Rmd` file. That means it could contain R code and will need to be rendered to create `README.md`.
* Open [R/01_write-installed-packages.R](R/01_write-installed-packages.R). Write the script as directed. Run it. Commit and push the current state.
* Open [R/02_wrangle-packages.R](R/02_wrangle-packages.R). Fill in the missing pieces of the script as directed. Run it. Commit and push the current state.
* Open [R/03_barchart-packages-built.R](R/03_barchart-packages-built.R). Fill in the missing pieces of the script as directed. Run it. Commit and push the current state.
* Fill in the blanks below in this README, using the results stored elsewhere.
* If you get this far, write an R script to run the whole analysis and, perhaps, another script that does a `make clean` style reset.
## Overview
The goal of packages-report is to FINISH THIS SENTENCE.
```{r, include = FALSE}
## load data/add-on-packages-freqtable.csv here in this chunk
```
I have `FILL THIS IN!!!` add-on packages installed.
Here's how they break down in terms of which version of R they were built under, which is related to how recently they were updated on CRAN.
```{r, echo = FALSE}
## print the frequency table here
## make it prettier if you know how
```
### Flow of the analysis
*If you have time, document the analysis works, using internal links.*