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<!DOCTYPE html>
<html>
<head>
<title>R4SPA: R Packages and Training to enable Statistical Programming in R</title>
<meta charset="utf-8">
<meta name="author" content="Kieran Martin" />
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<textarea id="source">
class: center, middle, inverse, title-slide
# R4SPA: R Packages and Training to enable Statistical Programming in R
### Kieran Martin
### 2018/08/16
---
# Outline
.font150[
Who are we?
What is the problem we are facing?
How are we solving it?
]
---
# Who are we?
- This work today is a collaboration between two people:
- Kieran Martin and Craig Gower
- check out https://github.com/gowerc and https://github.com/kieranjmartin
- My twitter is @kjmartinstats
- Both Data Analytic Specialists at Roche
.footnote[Slides today are hosted here: https://kieranjmartin.github.io/R4SPA-talk/r4spa.html]
---
# What is the problem?
Statistical Programmers want to use R!
<br><br>
--
- Lots of attendance on R training courses
- Lots of engagement in discussion around R
--
<br><br><br>
.content-box-green[But very little... actual R outputs!]
---
# What is the problem?
Lack of use cases for R
--
One key piece of programming work is setting up and qcing analysis datasets
--
Reluctance to use R for this task
<br><br><br>
--
.content-box-blue-centre[
**Why?**
]
---
# Why?
.content-box-blue[
Belief that data manipulation in R is **difficult**
]
--
<br>
.content-box-blue[
Lack of tools (proc compare)
]
--
<br>
.content-box-blue[
Training was disconnected from real tasks
]
---
# What are we doing?
.content-box-green[
In house training on **data manipulation** using the **tidyverse**
]
--
**What makes this different?**
--
- Focused on **one** task: data derivation
--
- tidyverse makes **easier** to read code (those with less R experience)
--
- Exercises based on our data and specifications
--
- Plan to train people with a specific **use case** for the training
---
#What we are doing?
**diffdf**
.content-box-green[
Package for **comparing datasets**
Gives **informative feedback** on where issues are
]
--
Main page: https://gowerc.github.io/diffdf/
Now on CRAN: https://CRAN.R-project.org/package=diffdf
Check out github: https://github.com/gowerc/diffdf
---
# diffdf: missing columns:
<br>
```r
library(diffdf)
test_data2 <- test_data
test_data2 <- test_data2[,-6]
diffdf(test_data , test_data2)
```
```
## Differences found between the objects!
##
## A summary is given below.
##
## There are columns in BASE that are not in COMPARE !!
## All rows are shown in table below
##
## =========
## COLUMNS
## ---------
## DATE
## ---------
```
---
# diffdf: missing rows
<br>
```r
test_data2 <- test_data
test_data2 <- test_data2[1:(nrow(test_data2) - 2),]
diffdf(test_data, test_data2, keys = "ID")
```
```
## Differences found between the objects!
##
## A summary is given below.
##
## There are rows in BASE that are not in COMPARE !!
## All rows are shown in table below
##
## ====
## ID
## ----
## 29
## 30
## ----
```
---
# diffdf: different values
<br>
```r
test_data2 <- test_data
test_data2[5,2] <- 6
difval <- diffdf(test_data , test_data2, keys = "ID" )
difval$NumDiff
```
```
## # A tibble: 1 x 2
## Variable `No of Differences`
## * <chr> <int>
## 1 GROUP1 1
```
```r
difval$VarDiff_GROUP1
```
```
## # A tibble: 1 x 4
## VARIABLE ID BASE COMPARE
## * <chr> <int> <dbl> <dbl>
## 1 GROUP1 5 1 6
```
---
# diffdf: different attributes
<br>
```r
test_data2 <- test_data
attr(test_data$ID , "label") <- "This is a interesting label"
attr(test_data2$ID , "label") <- "A different label"
diffdf(test_data , test_data2, keys = "ID" )
```
```
## Differences found between the objects!
##
## A summary is given below.
##
## There are columns in BASE and COMPARE with differing attributes !!
## All rows are shown in table below
##
## =====================================================================
## VARIABLE ATTR_NAME VALUES.BASE VALUES.COMP
## ---------------------------------------------------------------------
## ID label This is a interesting label A different label
## ---------------------------------------------------------------------
```
---
# Plans for the future
.content-box-green[
Roll out training across sites
]
--
<br>
.content-box-blue[
Build more packages to address common problems
]
--
<br>
.content-box-green[
Build more training focusing on different tasks in R
]
</textarea>
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