├── .gitignore ├── README.md ├── Rmd ├── D3_force_networks.Rmd ├── _template.Rmd ├── amstRdam-talk-exploring-correlations-with-corrr.Rmd ├── big-data-sem-with-corrr-and-lavaan.Rmd ├── big_data_solutions_ttest.Rmd ├── broom_tidiers_factanal.Rmd ├── correlation-network-plot-with-corrr.Rmd ├── corrr_0.2.1.Rmd ├── corrr_and_ggraph.Rmd ├── creating_corporate_colors_ggplot2.Rmd ├── cross_validation_broom.Rmd ├── explore-correlations-with-corrr.Rmd ├── fashion-output-with-corrr.Rmd ├── five-tips-to-improve-r-code.Rmd ├── five-ways-to-calculate-internal-consistency.Rmd ├── focus-on-correlations-of-some-variables.Rmd ├── ggplot2-secondary-axis-to-highlight-points.Rmd ├── ggplot2_ordering_by_facet.Rmd ├── glmnet-and-pipelearner.Rmd ├── grid-search-tidyverse.Rmd ├── grid-search-with-pipelearner.Rmd ├── healthcare_investment_and_child_mortality.Rmd ├── introducing-pipelearner-and-call-for-support.Rmd ├── introducing_ourworldindata.Rmd ├── leave-one-out-cv-pipelearner.Rmd ├── line-plots-for-twoway-with-ggplot2.Rmd ├── making-pretty-histograms.Rmd ├── model-the-tidy-way.Rmd ├── multiple-leads-and-lags-with-dplyr.Rmd ├── new-learn_cvpairs-pipelearner.Rmd ├── ordered-bar-plot.Rmd ├── plot-sem-with-tidygraph-ggraph.Rmd ├── plot-some-variables-against-others.Rmd ├── plotting-background-data-ggplot2.Rmd ├── plotting-my-trips-with-ubeR.Rmd ├── plotting_individuals_and_means.Rmd ├── pretty-scatter-plots-of-correlated-vars.Rmd ├── proportions-with-mean.Rmd ├── quick-plot-of-all-variables.Rmd ├── rearrange-correlations-with-corrr.Rmd ├── ridge-regression.Rmd ├── rstudio-conf-2017.Rmd ├── running-model-for-separate-groups.Rmd ├── running_many_models_for_many_groups.Rmd ├── tidy-git-analysis.Rmd ├── tidy-model-pipeline.Rmd ├── twidlr-intro.Rmd ├── validate-df-columns.Rmd ├── visualising-regression-residuals.Rmd └── xgboost-and-pipelearner.Rmd └── blogR.Rproj /.gitignore: -------------------------------------------------------------------------------- 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