Data Science using R (2018)

Files

• day-1-R101.R
• day-2-Rmarkdown.Rmd
• day-2-RmarkdownFlow.png
• day-2-Rmarkdown_to_Rscript.Rmd
• day-2-Rscript_to_Rmarkdown.R
• day-2-all.pdf
• day-2-cross_validation.Rmd
• day-2-crossval.png
• day-2-figures.zip
• day-2-glmnet.Rmd
• day-2-glmnet_R.Rmd
• day-2-rpart.Rmd
• day-2-rpart.pdf
• day-2-variance_bias.Rmd
• day-3-data-wrangling-intro.Rmd
• day-3-data-wrangling-intro.pdf
• day-3-data-wrangling-relational-data.Rmd
• day-3-ggplot2-intro.Rmd
• day-3-ggplot2-intro.pdf
• day-3-viz-more.Rmd
• day-4-cluster_figs.zip
• day-4-clustering.Rmd
• day-4-clustering.html
• day-4-clustering.pdf
• day-4-data-wrangling-dataMaid.Rmd
• day-4-data-wrangling-lubridate.Rmd
• day-4-data-wrangling-standardise.Rmd
• day-4-data-wrangling-stringr.Rmd
• day-4-reproducible-research.pdf
• day-4-shiny_intro.Rmd
• day-5-SVM.pdf
• day-5-classification.Rmd
• day-5-classification.pdf
• day-5-data-wrangling-dbs.Rmd
• day-5-hitters.pdf
• day-5-iris_exercise.Rmd
• day-5-iris_exercise.html
• day-5-logit.Rmd
• relational-nycflights.png