Package index

Package overview

ggpmisc ggpmisc-package

ggpmisc: Miscellaneous Extensions to 'ggplot2'

Statistics

Fitted models, tests and summaries enrich data visualizations allowing deeper understanding.

Model fitting y ~ x

Display estimates from regression models graphically and as textual annotations.

stat_correlation()

Correlation test annotations

stat_ma_eq() stat_ma_line()

Model II prediction and annotations

stat_poly_eq() stat_poly_line()

Fitted model prediction and annotations

stat_quant_band() stat_quant_eq() stat_quant_line()

Quantile regression predictions and annotations

stat_fit_deviations() stat_fit_fitted() stat_fit_residuals()

Residuals and fitted values from model fit

use_label()

Assemble label and map it

Model fitting ~ x

Display estimates from univariate distributions and their mixes graphically and as textual annotations.

stat_distrmix_eq() stat_distrmix_line()

Mixture model prediction and annotations

ANOVA and multiple comparisons

Display test results and estimates as inset tables and as textual annotations.

stat_fit_tb()

Fitted-model summary and ANOVA tables

stat_multcomp()

Labels for pairwise multiple comparisons

Model fitting with helpers from ‘broom’

Support additional types of models with no pre-built text strings..

stat_fit_augment()

Augment data with fitted values and statistics

stat_fit_glance()

One row summary data frame for a fitted model

stat_fit_tidy()

One row data frame with fitted parameter estimates

Local features

Highlight and label features.

stat_peaks() stat_valleys()

Local maxima (peaks) or minima (valleys)

stat_spikes()

Local narrow maxima or minima (spikes)

Scales

Scales control de mapping of data to aesthetics. These scales are tailored for specific types of plots.

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

Utilities

Low level functions used to build some of the functions above, but possibly useful also in other contexts.

check_output_type()

Validate output type

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 in vector

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