.

.gitignore

@@ -1,4 +1,4 @@
-docs/*
+docs/
 TODO
 _archive
 unused*

.travis.yml

@@ -2,29 +2,29 @@ language: r
 cache: packages
 sudo: required
 script:
-  - Rscript -e 'bookdown::render_book("index.Rmd")'
+    - Rscript -e 'bookdown::render_book("index.Rmd")'
 
 before_install:
-  - sudo add-apt-repository -y "ppa:marutter/rrutter"
-  - sudo add-apt-repository -y "ppa:marutter/c2d4u"
-  - sudo apt-get update -q
-  - sudo apt-get install r-cran-rstan -y
+    - sudo add-apt-repository -y "ppa:marutter/rrutter"
+    - sudo add-apt-repository -y "ppa:marutter/c2d4u"
+    - sudo apt-get update -q
+    - sudo apt-get install r-cran-rstan -y
 
 r_github_packages:
-  - achetverikov/APAstats
+    - achetverikov/APAstats/apastats
 
 apt_packages:
-  - libxml2-dev
-  - libv8-dev
+    - libxml2-dev
+    - libv8-dev
 
 # repos:
 # CRAN: https://mran.microsoft.com/snapshot/2018-07-01
 
 deploy:
-  provider: pages
-  skip-cleanup: true
-  github-token: $GITHUB_TOKEN # Set in the settings page of your repository, as a secure variable
-  keep-history: true
-  on:
-    branch: master
-  local-dir: docs
+    provider: pages
+    skip-cleanup: true
+    github-token: $GITHUB_TOKEN # Set in the settings page of your repository, as a secure variable
+    keep-history: true
+    on:
+        branch: master
+    local-dir: docs

DESCRIPTION

@@ -46,5 +46,4 @@ Imports:
   stringr,
   tidyverse,
   tufte,
-  waffle
-
+  waffle,  

EXPLANATIONS.Rmd

@@ -2,7 +2,4 @@
 title: 'Explanations'
 ---
 
-
-
 # (PART) Explanations {-}
-

MODELS.Rmd

@@ -2,9 +2,4 @@
 title: 'Analysis'
 ---
 
-
-
-
-# (PART) Models {-} 
-
-
+# (PART) Models {-}

PATTERNS.Rmd

@@ -2,34 +2,27 @@
 title: 'Patterns'
 ---
 
-
-
-
 # (PART) Patterns {-}
 
-
-# Learning key patterns 
-
+# Learning key patterns
 
 ![](media/patterns.png)
 
-Statistics courses teach statistics, and software training or programming courses can teach you the fundamentals of a particular package  --- for example R.
-
-However, a large part of learning how to analyse data is actually not about particular statistical techniques, nor the detals of implementing them in a particular package.
-
-Instead, the most useful things to take away from a course can be how to think about different types of problem, and general strategies for tackling them. One label applied to these approaches and strategies are 'patterns'.
-
-
-We've already come across one pattern in the section on [summarising data](summarising-data): the [split, apply, combine method](#split-apply-combine).
-
-This section outlines some other patterns or ways of working that may be helpful.
-
-
-
-
-
-
+Statistics courses teach statistics, and software training or programming
+courses can teach you the fundamentals of a particular package --- for example
+R.
 
+However, a large part of learning how to analyse data is actually not about
+particular statistical techniques, nor the detals of implementing them in a
+particular package.
 
+Instead, the most useful things to take away from a course can be how to think
+about different types of problem, and general strategies for tackling them. One
+label applied to these approaches and strategies are 'patterns'.
 
+We've already come across one pattern in the section on
+[summarising data](summarising-data): the
+[split, apply, combine method](#split-apply-combine).
 
+This section outlines some other patterns or ways of working that may be
+helpful.

additional-stubs.Rmd

@@ -1,49 +1,39 @@
 ---
 title: 'Bayes factors'
-
 ---
 
-
 ```{r, include=FALSE}
 library(tidyverse)
 library(pander)
 library(lmerTest)
 ```
 
-
-
 # Additional stub articles
 
 These hopefully to be fleshed out soon. Contributions welcome!
 
-
-
 ## Meta analysis {- #meta-analysis}
 
-
-For the moment, [see this introduction to meta analysis in R](https://www.r-bloggers.com/r-and-meta-analysis/)
-
+For the moment,
+[see this introduction to meta analysis in R](https://www.r-bloggers.com/r-and-meta-analysis/)
 
 ## Bayes factors {- #bayes-factors}
 
-
 TODO
 
-Tongue in cheek Chapter that Andy proposed as a Stage 4 option: "doing BF for rubbish data..."
+Tongue in cheek Chapter that Andy proposed as a Stage 4 option: "doing BF for
+rubbish data..."
 
 Cover:
 
-- What is a BF: http://bayesfactor.blogspot.co.uk/2014/02/the-bayesfactor-package-this-blog-is.html
-https://en.wikipedia.org/wiki/Bayes_factor#Interpretation
-
-- BF package manual http://bayesfactorpcl.r-forge.r-project.org/#twosample
-
-- BayesFactors not (too) sensitive to choice of priors:  http://www.nicebread.de/interactive-exploration-of-a-priors-impact/
-
-
-
-Also explore parameter estimation and inference from posterior of parameters as an alternative approach (see Krusche chapter, and Gelman papers).
-
+-   What is a BF:
+    http://bayesfactor.blogspot.co.uk/2014/02/the-bayesfactor-package-this-blog-is.html
+    https://en.wikipedia.org/wiki/Bayes_factor#Interpretation
 
+-   BF package manual http://bayesfactorpcl.r-forge.r-project.org/#twosample
 
+-   BayesFactors not (too) sensitive to choice of priors:
+    http://www.nicebread.de/interactive-exploration-of-a-priors-impact/
 
+Also explore parameter estimation and inference from posterior of parameters as
+an alternative approach (see Krusche chapter, and Gelman papers).