# Miscellaneous Extensions to 'ggplot2'

## Documentation for package ‘ggpmisc’ version 0.5.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

ggpmisc-package | ggpmisc: Miscellaneous Extensions to 'ggplot2'
append_layers | Moved to package 'gginnards'
bottom_layer | Moved to package 'gginnards'
coef.lmodel2 | Extract Model Coefficients
confint.lmodel2 | Confidence Intervals for Model Parameters
delete_layers | Moved to package 'gginnards'
extract_layers | Moved to package 'gginnards'
find_peaks | Find local maxima or global maximum (peaks)
geom_debug | Moved to package 'gginnards'
geom_null | Moved to package 'gginnards'
ggpmisc | ggpmisc: Miscellaneous Extensions to 'ggplot2'
keep_augment | Tidy, glance or augment an object keeping a trace of its origin
keep_glance | Tidy, glance or augment an object keeping a trace of its origin
keep_tidy | Tidy, glance or augment an object keeping a trace of its origin
Moved | Moved to package 'gginnards'
move_layers | Moved to package 'gginnards'
num_layers | Moved to package 'gginnards'
outcome2factor | Convert numeric ternary outcomes into a factor
predict.lmodel2 | Model Predictions
scale_color_logFC | Colour and fill scales for log fold change data
scale_color_outcome | Colour and fill scales for ternary outcomes
scale_colour_logFC | Colour and fill scales for log fold change data
scale_colour_outcome | Colour and fill scales for ternary outcomes
scale_fill_logFC | Colour and fill scales for log fold change data
scale_fill_outcome | Colour and fill scales for ternary outcomes
scale_shape_outcome | Shape scale for ternary outcomes
scale_x_FDR | Convenience scale for P-values
scale_x_logFC | Position scales for log fold change data
scale_x_Pvalue | Convenience scale for P-values
scale_y_FDR | Convenience scale for P-values
scale_y_logFC | Position scales for log fold change data
scale_y_Pvalue | Convenience scale for P-values
shift_layers | Moved to package 'gginnards'
stat_correlation | Annotate plot with correlation test
stat_debug_group | Moved to package 'gginnards'
stat_debug_panel | Moved to package 'gginnards'
stat_fit_augment | Augment data with fitted values and statistics
stat_fit_deviations | Residuals from model fit as segments
stat_fit_fitted | Residuals from model fit as segments
stat_fit_glance | One row summary data frame for a fitted model
stat_fit_residuals | Residuals from a model fit
stat_fit_tb | Model-fit summary or ANOVA
stat_fit_tidy | One row data frame with fitted parameter estimates
stat_ma_eq | Equation, p-value, R^2 of major axis regression
stat_ma_line | Predicted line from major axis linear fit
stat_multcomp | Labels for pairwise multiple comparisons
stat_peaks | Local maxima (peaks) or minima (valleys)
stat_poly_eq | Equation, p-value, R^2, AIC and BIC of fitted polynomial
stat_poly_line | Predicted line from linear model fit
stat_quant_band | Predicted band from quantile regression fits
stat_quant_eq | Equation, rho, AIC and BIC from quantile regression
stat_quant_line | Predicted line from quantile regression fit
stat_valleys | Local maxima (peaks) or minima (valleys)
swap_xy | Swap x and y in a formula
symmetric_limits | Expand a range to make it symmetric
threshold2factor | Convert numeric ternary outcomes into a factor
top_layer | Moved to package 'gginnards'
use_label | Assemble label and map it
which_layers | Moved to package 'gginnards'
xy_outcomes2factor | Convert two numeric ternary outcomes into a factor
xy_thresholds2factor | Convert two numeric ternary outcomes into a factor