| 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' |
| geom_debug | Moved to package 'gginnards' |
| geom_null | Moved to package 'gginnards' |
| 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 |
| predict.lmodel2 | Model Predictions |
| quadrant_example.df | Example gene expression data |
| scale_color_outcome | Colour and fill scales for ternary outcomes |
| scale_colour_outcome | Colour and fill scales for ternary outcomes |
| 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_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_peaks | Local maxima (peaks) or minima (valleys) |
| stat_poly_eq | Equation, p-value, R^2, AIC or BIC of fitted polynomial |
| stat_poly_line | Predicted line from model fit |
| stat_quant_band | Compute predicted line from quantile regression fit |
| stat_quant_eq | Equation, p-value, R^2, AIC or 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' |
| 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 |