diff --git a/_includes/package-nav.html b/_includes/package-nav.html index ac2f1cf..1aa1fd6 100644 --- a/_includes/package-nav.html +++ b/_includes/package-nav.html @@ -4,7 +4,9 @@
  • Visualize
  • Transform
  • Tidy
  • +
  • Model
  • Import
  • +
  • Exploratory data analysis
  • R Markdown
  • @@ -12,13 +14,11 @@
  • Data structures
  • +
  • Expressing yourself with code
  • Strings
  • Dates and times
  • -
  • Expressing yourself with code
  • Lists
  • -
  • Linear models
  • Models and visualisation
  • -
  • Model assesment
  • -
  • Other models
  • +
  • Model assessment
  • diff --git a/eda.Rmd b/eda.Rmd new file mode 100644 index 0000000..a66c46b --- /dev/null +++ b/eda.Rmd @@ -0,0 +1,5 @@ +--- +layout: default +title: Exploratory data analysis +output: bookdown::html_chapter +--- diff --git a/model-assess.Rmd b/model-assess.Rmd index 5594e00..f7e3f00 100644 --- a/model-assess.Rmd +++ b/model-assess.Rmd @@ -10,6 +10,9 @@ set.seed(1014) options(digits = 3) ``` +* Some discussion of p-values. +* Bootstrapping to understand uncertainty in parameters. +* Cross-validation to understand predictive quality. ## Multiple models diff --git a/model-other.Rmd b/model-other.Rmd deleted file mode 100644 index 23b0d69..0000000 --- a/model-other.Rmd +++ /dev/null @@ -1,24 +0,0 @@ ---- -layout: default -title: Other model familes -output: bookdown::html_chapter ---- - - -[Applied Predictive Modeling](http://amzn.com/1461468485). -[An Introduction to Statistical Learning](http://amzn.com/1461471370) - - -## Extensions of linear models - -* Generalised linear models: logistic, ... - -* Hierarchical models - -## Non-linear - -* Random forrests - -## Clustering - -Show example of clustering babynames by year. diff --git a/model-linear.Rmd b/model.Rmd similarity index 50% rename from model-linear.Rmd rename to model.Rmd index 15f52ea..59507f5 100644 --- a/model-linear.Rmd +++ b/model.Rmd @@ -18,3 +18,19 @@ Review caret and mlr. * Interactions * Splines * Log transform + + +[Applied Predictive Modeling](http://amzn.com/1461468485). +[An Introduction to Statistical Learning](http://amzn.com/1461471370) + +# Other model families + +List of important classes on modelling; paragraph about why it's useful/different to lm, and a pointer to where to learn more. + +* Generalised linear models: logistic, ... + +* Hierarchical models + +* Random forrests + +* Unsupervised techniques