Miscellaneous Extensions to 'ggplot2'


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Documentation for package ‘ggpmisc’ version 0.3.3

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ggpmisc-package ggpmisc: Miscellaneous Extensions to 'ggplot2'
append_layers Moved to package 'gginnards'
bottom_layer Moved to package 'gginnards'
delete_layers Moved to package 'gginnards'
extract_layers Moved to package 'gginnards'
geom_debug Moved to package 'gginnards'
geom_grob Inset graphical objects
geom_grob_npc Inset graphical objects
geom_label_npc Text with Normalised Parent Coordinates
geom_null Moved to package 'gginnards'
geom_plot Inset plots
geom_plot_npc Inset plots
geom_quadrant_lines Reference lines: horizontal plus vertical, and quadrants
geom_table Inset tables
geom_table_npc Inset tables
geom_text_npc Text with Normalised Parent Coordinates
geom_vhlines Reference lines: horizontal plus vertical, and quadrants
geom_x_margin_arrow Reference arrows on the margins
geom_x_margin_grob Add Grobs on the margins
geom_x_margin_point Reference points on the margins
geom_y_margin_arrow Reference arrows on the margins
geom_y_margin_grob Add Grobs on the margins
geom_y_margin_point Reference points on the margins
ggplot Create a new ggplot plot from time series data
ggplot.ts Create a new ggplot plot from time series data
ggplot.xts Create a new ggplot plot from time series data
ggpmisc ggpmisc: Miscellaneous Extensions to 'ggplot2'
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
quadrant_example.df Example gene expression data
scale_colour_outcome Colour and fill scales for ternary outcomes
scale_continuous_npc Position scales for continuous data (npcx & npcy)
scale_fill_outcome Colour and fill scales for ternary outcomes
scale_npcx_continuous Position scales for continuous data (npcx & npcy)
scale_npcy_continuous Position scales for continuous data (npcx & npcy)
scale_shape_outcome Shape scale for ternary outcomes
scale_x_FDR Covenience scale for P-values
scale_x_logFC Position scales for log fold change data
scale_x_Pvalue Covenience scale for P-values
scale_y_FDR Covenience scale for P-values
scale_y_logFC Position scales for log fold change data
scale_y_Pvalue Covenience scale for P-values
shift_layers Moved to package 'gginnards'
stat_apply_group Apply a function to x or y values
stat_apply_panel Apply a function to x or y values
stat_debug_group Moved to package 'gginnards'
stat_debug_panel Moved to package 'gginnards'
stat_dens2d_filter Filter observations by local density
stat_dens2d_filter_g Filter observations by local density
stat_dens2d_labels Reset labels of observations in high density regions
stat_fit_augment Augment data with fitted values and statistics
stat_fit_deviations 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_fmt_tb Select and slice a tibble nested in 'data'
stat_peaks Local maxima (peaks) or minima (valleys)
stat_poly_eq Equation, p-value, R^2, AIC or BIC of fitted polynomial
stat_quadrant_counts Number of observations in quadrants
stat_valleys Local maxima (peaks) or minima (valleys)
symmetric_limits Expand limits to be symetric
threshold2factor Convert numeric ternary outcomes into a factor
top_layer Moved to package 'gginnards'
try_data_frame Convert an R object into a tibble
try_tibble Convert an R object into a tibble
volcano_example.df Example gene expression data
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