-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.qmd
98 lines (54 loc) · 4.33 KB
/
index.qmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
---
format: revealjs
title: "From writing R scripts to functions and packages"
subtitle: Observations on the journey with reference to the stats19 R package
author: "Robin Lovelace, Head of Data and Digital, Active Travel England<br>Coffee and Coding presentation for the Department for Transport's Coding and Reproducible Analysis Network"
date: "2023-07-21"
---
# Introduction
## Abstract
I'll outline the benefits of moving from writing code as one-off scripts to be run once, and only once, to generalising your code by creating functions and packages. This will be based on his own experience going from an academic script writing (scripts that may or may not run more than once, with limited reproducibility) to becoming an R package developer. For background, please check out the stats19 package and associated documentation including the vignettes (articles) at [https://docs.ropensci.org/stats19/](https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.ropensci.org%2Fstats19%2F&data=05%7C01%7CRobin.Lovelace%40activetravelengland.gov.uk%7Cbf6d6c1359b14a5e282f08db5d0d05d8%7C28b782fb41e148eabfc3ad7558ce7136%7C0%7C0%7C638206082781953473%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=S4j2CUt1HI9%2BKRKMB1Fq1HW4BDm2V%2BSkRAWoYDOF47c%3D&reserved=0 "Original URL: https://docs.ropensci.org/stats19/. Click or tap if you trust this link.") and the introductory textbook on analysing road crash data with R developed for the RAC foundation (ideal for people early on their R/data science journeys): [https://github.com/ITSLeeds/rrsrr](https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FITSLeeds%2Frrsrr&data=05%7C01%7CRobin.Lovelace%40activetravelengland.gov.uk%7Cbf6d6c1359b14a5e282f08db5d0d05d8%7C28b782fb41e148eabfc3ad7558ce7136%7C0%7C0%7C638206082781953473%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=LJN%2BIvop4q9ar2zPN0T5JWKxjeGFZXMuOCRoo2EngtE%3D&reserved=0 "Original URL: https://github.com/ITSLeeds/rrsrr. Click or tap if you trust this link.")
```{=html}
<!-- **Start time**
Please note, the session will start 5 minutes later than the scheduled start time, this is to allow time for setting up.
**Teams Meeting**
Sessions will be held only in cyberspace for the foreseeable future. Please mute your microphone unless you want to ask a question, you can also raise your hand with the hand icon, and post questions in the chat.
**What is Coffee & Coding?** -->
```
## What is this session?
Coffee & Coding is part of the wider CRAN network provides a regular opportunity for people within DfT who are interested in coding to share skills and knowledge, and showcase coding projects that they're working on. See the CRAN Teams Channel files for past talks and code!
**How do I get on the mailing list?**
Contact ITFP to be added to ([\_DfT_CClist\@dft.gov.uk](mailto:[email protected] "mailto:[email protected]")) or check Microsoft Teams CRAN channel directly.
**Presenters**
If you'd like to present get in touch with Francesca Bryden or Dina Haque
## Introduction to me
And ATE's Data and Digital team
# Beginning: reinventing the wheel
## Wheel 1: EDA of bike crashes in West Yorkshire
## Geographic analysis of STATS19 data (2016)
## Reproducible code
## How reproducible?
### Hard-coded file paths
Source: [whereWards.R](https://github.com/Robinlovelace/bikeR/blob/dec72385290ce74df13e56f7fc8facc089afb1ad/stat19/whereWards.R#L14)
## Random CSV files
Source: [preliminaries.R](https://github.com/Robinlovelace/bikeR/blob/dec72385290ce74df13e56f7fc8facc089afb1ad/stat19/preliminaries.R#L4)
# Packaging code
##
## The stats19 R package
Peer reviewed R package on CRAN: Work with Open Road Traffic Casualty Data from Great Britain • stats19 ([ropensci.org](https://docs.ropensci.org/stats19/))
## What's in the box?
# Live demo
## Try in the devcontainer:
Source: acteng/from-scripts-to-packages: Slides for talk at Coding and Reproducible Analysis Network. Coffee and Coding! (github.com)
# Live demo!
## Appendix: how I made these slides
