Package index • ggpmisc

Package overview
`ggpmisc` `ggpmisc-package`	ggpmisc: Miscellaneous Extensions to 'ggplot2'
Scales Scales control de mapping of data to aesthetics.
`scale_x_logFC()` `scale_y_logFC()`	Position scales for log fold change data
`scale_colour_logFC()` `scale_color_logFC()` `scale_fill_logFC()`	Colour and fill scales for log fold change data
`FC_format()` `FC_plain()`	Formatter for fold change tick labels
`FC_name()`	Fold change- axis labels
`scale_y_Pvalue()` `scale_y_FDR()` `scale_x_Pvalue()` `scale_x_FDR()`	Convenience scale for P-values
`scale_colour_outcome()` `scale_color_outcome()` `scale_fill_outcome()`	Colour and fill scales for ternary outcomes
`scale_shape_outcome()`	Shape scale for ternary outcomes
`outcome2factor()` `threshold2factor()`	Convert numeric ternary outcomes into a factor
`xy_outcomes2factor()` `xy_thresholds2factor()`	Convert two numeric ternary outcomes into a factor
`symmetric_limits()`	Expand a range to make it symmetric
Statistics It is often useful to summarize data before plotting, and that is what these transformations do.
`stat_peaks()` `stat_valleys()`	Local maxima (peaks) or minima (valleys)
`stat_poly_line()`	Predicted line from linear model fit
`stat_poly_eq()`	Equation, p-value, \(R^2\), AIC and BIC of fitted polynomial
`stat_ma_line()`	Predicted line from major axis linear fit
`stat_ma_eq()`	Equation, p-value, R^2 of major axis regression
`stat_quant_line()`	Predicted line from quantile regression fit
`stat_quant_band()`	Predicted band from quantile regression fits
`stat_quant_eq()`	Equation, rho, AIC and BIC from quantile regression
`stat_correlation()`	Annotate plot with correlation test
`stat_fit_tb()`	Model-fit summary or ANOVA
`stat_fit_tidy()`	One row data frame with fitted parameter estimates
`stat_fit_glance()`	One row summary data frame for a fitted model
`stat_fit_augment()`	Augment data with fitted values and statistics
`stat_fit_deviations()` `stat_fit_fitted()`	Residuals from model fit as segments
`stat_fit_residuals()`	Residuals from a model fit
`stat_multcomp()`	Labels for pairwise multiple comparisons
`use_label()`	Assemble label and map it
Utilities Low level functions used to build some of the functions above, but possibly useful also in other contexts.
`sprintf_dm()` `value2char()`	Format numeric values as strings
`plain_label()` `italic_label()` `bold_label()` `p_value_label()` `f_value_label()` `t_value_label()` `z_value_label()` `S_value_label()` `mean_value_label()` `var_value_label()` `sd_value_label()` `se_value_label()` `r_label()` `rr_label()` `adj_rr_label()` `rr_ci_label()` `r_ci_label()`	Format numbers as character labels
`coefs2poly_eq()`	Format a polynomial as an equation
`poly2character()`	Convert a polynomial into character string
`typeset_numbers()`	Typeset/format numbers preserving trailing zeros
`find_peaks()` `find_valleys()`	Find local or global maxima (peaks) or minima (valleys)
`find_spikes()`	Find spikes
`coef(<lmodel2>)`	Extract Model Coefficients
`confint(<lmodel2>)`	Confidence Intervals for Model Parameters
`predict(<lmodel2>)`	Model Predictions
`check_poly_formula()`	Validate model formula as a polynomial
`keep_tidy()` `keep_glance()` `keep_augment()`	Tidy, glance or augment an object keeping a trace of its origin
`swap_xy()`	Swap x and y in a formula
Changes List of geometries, statistics and functions moved to package ‘gginnards’.
`Moved` `geom_null` `stat_debug_group` `stat_debug_panel` `geom_debug` `append_layers` `bottom_layer` `delete_layers` `extract_layers` `move_layers` `num_layers` `shift_layers` `top_layer` `which_layers`	Moved to package 'gginnards'

Reference

Package overview

Scales

Statistics

Utilities

Changes