Package index • tukeyedar

All functions

age_height: Age vs. height for private and rural school children

eda_3pt(): 3-point summary plot

eda_add(): Add graphical EDA elements to existing plot

eda_bipow(): Ladder of powers transformation on bivariate data with three-point summary plot

eda_boxls(): Boxplots equalized by level and spread

eda_dens(): Overlapping density distributions for two variables

eda_fval(): Calculate quantile f-values

eda_jitter(): Jitter plot

eda_lm(): Regression plot (with optional LOESS fit)

eda_lsum(): Tukey's letter value summary

eda_moments(): Compute moments of a dataset

eda_normfit(): Normal fit vs density plot

eda_pol(): Median polish of two-way tables

eda_qq(): Quantile-Quantile and Tukey mean-difference plots

eda_qqmat(): QQ plot matrix

eda_qqpool(): Multi-panel pooled values QQ plots

eda_re(): Re-expression function

eda_rfs(): Residual-Fit Spread Plot

eda_rline(): Tukey's resistant line

eda_shuffle(): Shuffle values across groups

eda_sim() experimental: Simulate data using Fleishman transformation

eda_sim_old() experimental: Simulate data using Fleishman transformation

eda_sl(): Spread-location and spread-level plots

eda_sym(): Symmetry QQ plot

eda_theo(): Theoretical QQ plot

eda_theopan(): Multi-panel theoretical QQ plots

eda_trim() eda_trim_df() eda_ltrim() eda_ltrim_df() eda_rtrim() eda_rtrim_df(): Trims vector and dataframe objects

eda_unipow(): Ladder of powers transformation on a single vector

eda_untie(): Resolve ties in a numeric vector

eda_viol(): Violin plot.

incrent22: American Community Survey 2022 Median household income and median rent by county

neoplasms: Breast cancer mortality vs. temperature

nine_point: Andrew Siegel's pathological 9-point dataset

plot(<eda_lm>): Residuals plot

plot(<eda_polish>): Plot eda_polish tables or diagnostic plots

plot(<eda_rline>): Plot eda_rline model

wat05: Temperature normals for Waterville Maine (1991-2020)

wat95: Legacy temperature normals for Waterville Maine (1981-2010)