Package index • UtilsR

Advanced Plot Functions

Publication-ready scatter, heatmap and circular plots.

PlotScatter1(): Grouped Scatter Plot with Marginal Boxplots
PlotScatter2(): Dual-Group Scatter Plot with Multi-Variable Marginal Boxplots
PlotScatter3(): Paired Scatter Plot with Rotated Histogram Inset
PlotDumbbell(): Dumbbell Chart for Paired Comparisons
PlotHeatmapJaccard(): Jaccard Similarity Heatmap
PlotRank(): Rank Scatter Plot
PlotCircleLollipop(): Circular Lollipop Chart
PlotButterfly(): Butterfly Chart (Back-to-Back Symmetric Plot)
PlotButterfly2(): Butterfly Plot from Long-Format Data
PlotRankCor(): Rank Correlation Scatter Plot

Plot Functions

High-level plotting functions for categorical data visualization.

plt_cat(): Unified Categorical Variable Plot
plt_con(): Unified Continuous Variable Plot
plt_dist(): Plot Categorical Variable Distribution
plt_cohen(): Plot Cohen's d Effect Sizes
plt_radar(): Radar Chart
plt_sankey(): Sankey Diagram for Categorical Variables
plt_upset(): UpSet and Venn Diagram for Set Intersections

Data Inspection

Explore variables, missing values, and system resources.

lv(): Variable Inspection Generic Function
check_na(): Comprehensive Data Quality Analysis
check_system(): Check System Resources and Environment
check_size(): Analyze Object Sizes in Global Environment
count_packages_in_libpaths(): Count Installed Packages in Each Library Path

Factor Manipulation

Recode, reorder, and transform factor variables.

fct_cat(): Unified Factor Manipulation
fct_num(): Convert Numeric to Factor

Statistical Formatting

Format confidence intervals, p-values, and effect sizes.

stat_ci(): Format Confidence Intervals or Mean (SD)
stat_pval(): Format P-values, Numbers, or Add Stars to Any Value
stat_ci_parse(): Parse Confidence Interval Strings
stat_cohen(): Compute Cohen's d Effect Size by Group

Colour Palettes

Built-in colour palettes and palette utilities.

pal_lancet: Lancet Colour Palette
pal_other: Additional Built-in Colour Palettes
pal_paraSC: Parathyroid Single-Cell Colour Palette
pal_get(): Get Colours from a Named Palette
pal_list(): List All Available Palettes
pal_show(): Visualise Palettes or Colour Vectors
show_color(): Display Colour Swatches in Console
as_palette(): Create a colour palette object
palette_list: Built-in Palette Collection

ggplot2 Formatting

Chain-able ggplot2 formatting helpers.

fmt_plot(): Master plot formatting function
fmt_axis(): Hide or show axis elements for specific plots
fmt_tag(): Add panel labels to plots
fmt_legend(): Format legend position and style
fmt_ref(): Add reference lines to plots
fmt_strip(): Add facet strip labels to a plot
fmt_com(): Add pairwise statistical comparisons
fmt_bg(): Add coloured background stripes
fmt_his(): Add marginal histogram or density overlay
fmt_scale(): Set axis scales
fmt_expand(): Set axis expansion
fmt_boxplot(): Overlay a boxplot layer
fmt_point(): Add Data Points to a Plot
flatten_patchwork(): Flatten nested patchwork objects

Themes

ggplot2 themes.

theme_my(): Custom ggplot2 Theme Based on ggprism
theme_km: Kaplan-Meier Plot Theme
theme_rcs: RCS (Restricted Cubic Spline) Plot Theme
theme_legend1(): Compact Legend Theme
theme_blank(): Blank Theme with Coordinate Arrows
theme_sc(): Single-Cell Style Theme

Grob Utilities

Helpers for manipulating ggplot2 grobs.

grob_add(): Add a Grob to a Gtable at a Specified Position
grob_as(): Convert a Plot Object to a Grob
grob_insert(): Insert an Inset Plot Inside Another Plot
grob_to_gg(): Convert a Grob or Gtable Back to a ggplot Object

Console Display

Styled console output helpers.

console_width(): Get console width

Operators

Convenience operators.

`%<>%`: Compound assignment pipe operator
`%ni%`: Not-in operator
%>% %||%: Pipe operator