Blog category: R

• Interpreting Models Has Never Been Easier

  Interpreting raw model coefficients can be difficult and confusing. It's much better to interrogate the model and get direct answers to the questions you actually care about.

• Understanding the Parametric G-Formula Through Source Code Analysis

  If you are better at reading code than math, you can learn mathematical methods better by reading their implementations. Let's try this with the parametric g-formula.

• Automatic Subgrouped Summaries (Table 1) in R

• Benjamini-Hochberg Adjusted Mann Whitney U Tests in R

• Extract The First Number in A String/Character in R

• Extract Percentages in Characters/Strings in R

• Import Tidy KEGG Annotations in R

  Use KEGGREST to get pieces and tidyverse to wrangle them into a single tidy annotation dataframe.

• Mutating Dataframe Variables Using A One-to-One Table in R

• Nesting Dataframes with Different Sets of Values in R

• Pearson Correlations Between Two Tidy Dataframes in R

• Pretty Numbers in R When Simple Rounding Is Not Enough

• Print Names Of Objects in the Global Environment in R

• Recoding Dataframe Variables Using A Metadata File in R

• Recoding IDs Using A Metadata File in R

• Renaming Dataframe Variables Using A Metadata File in R

• Round Numbers To Nth Non-Zero Decimal In R

• Select A Column That Maximizes A Function in R

• Summarize All Variables Automatically in R

• Taking Random Subsets of Dataframes in R

• From Tidy Data To A Named List in R

• Tidy Topological Overlap Matrix (TOM) Networks in R

• Tidy Uniform Manifold Approximation And Projection in R

• Venn Diagrams for Tidy Data in R

• A Simple Way to Visualize Missing Values in R

  Just arrange rows differently and look at missing cells in a table.