Miscellaneous Extensions to 'ggplot2'
Left and right hand sides of model equations
Validate model formula as a polynomial
Extract Model Coefficients
Format a polynomial as an equation
Confidence Intervals for Model Parameters
Helper function for fitting Normal mixture model
Safely extract the formula from an object
Formatter for fold change tick labels
Fold change- axis labels
Find local or global maxima (peaks) or minima (valleys)
Find spikes
Stat* Objects
ggpmisc: Miscellaneous Extensions to 'ggplot2'
Guess the orientation from model formula
Tidy, glance or augment an object keeping a trace of its origin
Convert numeric ternary outcomes into a factor
Format numbers as character labels
Convert a polynomial into character string
Model Predictions
Helper function for fitting quantile regression
Reverse log transformation
Colour and fill scales for log fold change data
Colour and fill scales for ternary outcomes
Shape scale for ternary outcomes
Position scales for log fold change data
Convenience scale for P-values
Format numeric values as strings
Annotate plot with correlation test
Predicted equation from distribution mixture model fit
Predicted line from distribution mixture model fit
Augment data with fitted values and statistics
Residuals from model fit as segments
One row summary data frame for a fitted model
Residuals from a model fit
Model-fit summary or ANOVA
One row data frame with fitted parameter estimates
Equation, p-value, R^2 of major axis regression
Predicted line from major axis linear fit
Labels for pairwise multiple comparisons
Local maxima (peaks) or minima (valleys)
Equation, p-value, , AIC and BIC of fitted polynomial
Predicted line from linear model fit
Predicted band from quantile regression fits
Equation, rho, AIC and BIC from quantile regression
Predicted line from quantile regression fit
Swap x and y in a formula
Expand a range to make it symmetric
Typeset/format numbers preserving trailing zeros
Assemble label and map it
Convert two numeric ternary outcomes into a factor
Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics: locate and tag peaks and valleys; label plot with the equation of a fitted polynomial or other types of models including major axis, quantile and robust and resistant regression. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; label with ANOVA table for fitted models; label with summary table for fitted models; annotations for multiple comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Useful links