Miscellaneous Extensions to 'ggplot2'

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Documentation for package ‘ggpmisc’ version 0.5.5

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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 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