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'