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Notre Dame Color Palettes15 days ago
Quick start: every workflow, the easy way | The default Notre Dame palette | From one group to ten | The scales in practice | A gallery of plot types | Base R graphics | Statistical and psychometric visualization | Finding a color by name and role | Mixing in a color from outside the palette | Other palettes | Former Notre Dame colors | Colorblind-friendly Notre Dame colors | Brand tints, backgrounds, and sequential ramps | Theming R Markdown reports | Pairing with a light theme | A note on fonts | Related color tools
Theming a Shiny app with NDPalette15 days ago
A complete example app | How the theming works | A brand-colored bslib theme | Brand-colored figures | Reusing the R Markdown stylesheet | All the colors, with details | The default Notre Dame palette ("nd") | The colorblind-friendly ordering ("nd_cvd") | The former Notre Dame colors ("former") | Near-white brand tints and informal backgrounds | The full color catalog
Notre Dame Color Palettes23 days ago
Quick start: every workflow, the easy way | The default Notre Dame palette | From one group to ten | The scales in practice | A gallery of plot types | Base R graphics | Statistical and psychometric visualization | Finding a color by name and role | Mixing in a color from outside the palette | Other palettes | Former Notre Dame colors | Colorblind-friendly Notre Dame colors | Brand tints, backgrounds, and sequential ramps | Theming R Markdown reports | Pairing with a light theme | A note on fonts | Related color tools
Theming a Shiny app with NDPalette23 days ago
A complete example app | How the theming works | A brand-colored bslib theme | Brand-colored figures | Reusing the R Markdown stylesheet | All the colors, with details | The default Notre Dame palette ("nd") | The colorblind-friendly ordering ("nd_cvd") | The former Notre Dame colors ("former") | Near-white brand tints and informal backgrounds | The full color catalog
Factors and numeric coding in AMCP1 months ago
Why AMCP codes grouping variables as numbers | The two-line recipe | A worked example with known labels | With three or more groups, the coding matters | Finding the categorical variables in a data set | Summary