A Toolbox for Public Health and Epidemiology
Apply labels from variables to axis-labels in plots.
Bar charts with error bars.
Bland-Altman agreement plots.
Construct box plots.
Bootstrap Confidence Intervals.
Coefficient of determination.
Descriptive statistics for continuous variables.
Expand a data frame.
Relative and Cumulative Frequency.
Generate a data frame with estimate and bootstrap CIs.
Geometric mean.
Estimate R2 or Pseudo-R2 from regression models
Annotating a plot to display differences between groups.
Table of coefficients from generalised linear models.
Harmonic mean.
Histogram with Normal density curve.
Inverse of the logit
Ranks leverage observations from Jackknife method.
Jackknife for means.
Leverage.
Goodness of fit for Logistic Regression.
Mantel-Haenszel odds ratio.
Using labels as coefficient names in tables of coefficients.
Multiple comparisons with plot.
Function to calculate OR using Wald CI, and plot trend.
Given y solve for x in a simple linear model.
Proportion, p1 from proportion p2 and OR.
Pseudo R2 (logistic regression) pseudo_r2 Calculates R2 analogues (p...
Quantile-quantile plots against the standard Normal distribution.
Ranks observations based upon influence measures on models.
Ranks observations by leverage.
Reference range (reference interval).
Relative Dispersion.
Rounding p-values.
Sum of squares for Jackknife.
Internal function to calculate descriptive statistics.
Strip plots with error bars.
A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand 'ggplot2' plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.