Function reference • pmplots

All functions
`add_density()` `layer_dnorm()`	Add a density curve to a plot
`as.list(<pm_opts>)`	Coerce pm_opts object to a list
`boxwork()`	Make boxplots
`$<-`(<pm_opts>)	Assign a pmplots option
`col_label()`	Column // axis-label specification
`cont_cat_panel()` `cont_cat_panel_list()`	Create a display of continuous versus categorical covariates
`cont_hist()` `cont_hist_list()` `pm_histogram()`	Generate a histogram plot
`cwres_covariate()` `cwres_covariate_list()`	Create CWRES versus covariate displays
`cwres_panel()` `cwres_panel_list()`	Create a display of CWRES diagnostic plots
`cwres_time()` `cwres_tafd()` `cwres_tad()` `cwresi_time()` `cwresi_tafd()` `cwresi_tad()`	Plot conditional weighted residuals versus time
`defcx()`	Default setting for discrete x-axis scale
`defx()`	Default setting for x-axis scale
`defy()`	Default setting for continuous y-axis scale
`dv_pred()` `dv_ipred()` `dv_preds()`	Plot DV versus predicted values
`dv_pred_ipred()` `dv_pred_ipred_impl()` `do_dv_pred_ipred()`	Create plots showing DV, PRED, and IPRED by individual
`dv_time()` `dv_tafd()` `dv_tad()`	Plot DV versus time
`eta_cat()`	Plot ETAs versus categorical variables
`eta_cont()`	Plot ETAs versus continuous variables
`eta_covariate()` `eta_covariate_list()`	Create ETA versus covariate displays
`eta_hist()`	ETA histograms
`eta_labs()` `eta_col_labs()`	Make ETA labels and col-labels
`geom_3s()` `layer_3s()`	Additional reference lines
`layer_h()` `layer_s()` `layer_a()` `layer_hs()` `layer_sh()` `layer_as()` `layer_sa()` `layer_dots()` `gs()` `ga()` `gh()`	Layer functions
`list_plot_x()` `list_plot_y()` `list_plot_xy()` `list_plot_yx()`	Apply a plotting function to a vector of x or y values
`log_scale()`	Scale information for log transformation
`logbr()` `logbr3()`	Create breaks on log scale
`npde_covariate()` `npde_covariate_list()`	Create NPDE versus covariate displays
`npde_panel()` `npde_panel_list()`	Create a display of NPDE diagnostic plots
`npde_ref()`	Input parameters for NPDE reference lines
`npde_scatter()` `cwres_scatter()`	Create a display of residuals versus time and predicted values
`npde_time()` `npde_tad()` `npde_tafd()`	Plot NPDE versus time
`pairs_plot()` `eta_pairs()`	Pairs plots using ggpairs
`parse_label()` `look_for_tex()` `label_tex()` `label_parse_label()`	Parse the label part of a col_label
`pm_axis()` `pm_axis_data`	Get defaults for plot axes
`pm_axis_tad()` `pm_axis_time()` `pm_axis_tafd()` `pm_axis_res()` `pm_axis_wres()` `pm_axis_cwres()` `pm_axis_cwresi()` `pm_axis_npde()` `pm_axis_pred()` `pm_axis_ipred()` `pm_axis_dv()`	Functions to generate axis data
`pm_box()` `pm_box_list()` `cont_cat()`	Plot continuous variable against a categorical variable
`pm_browser()` `pm_browser_show()`	pmplots browser object
`pm_gadget()`	pmplots browser gadget
`pm_grid()`	Arrange a list of plots in a grid
`pm_log()` `pm_ident()`	Identity and log scale helpers
`pm_options()` `pm_opts` `pm`	Set global plot options
`pm_scatter()` `pm_scatter_list()` `cont_cont()`	Plot continuous variable versus continuous variable
`pm_smooths()`	Add loess line
`pm_theme()` `pm_abline()` `pm_smooth()` `pm_hline()`	The standard pmplots theme
`pmplots`	Plots for pharmacometrics
`pmplots_data()` `pmplots_data_id()` `pmplots_data_obs()`	Example data sets
`print(<pm_opts>)`	Print the pm_opts object
`res_cat()` `wres_cat()` `cwres_cat()` `cwresi_cat()` `npde_cat()`	Plot residuals versus categorical variable
`res_cont()` `wres_cont()` `cwres_cont()` `cwresi_cont()` `npde_cont()`	Plot residuals versus continuous variables
`res_hist()` `wres_hist()` `cwres_hist()` `cwresi_hist()` `npde_hist()`	Histograms of residuals or NPDE
`npde_hist_q()` `cwres_hist_q()`	Create a display of residual histograms and quantile-quantile plots
`res_pred()` `wres_pred()` `cwres_pred()` `cwresi_pred()` `npde_pred()`	Residuals or NPDE versus predicted values
`wres_q()` `cwres_q()` `cwresi_q()` `npde_q()`	QQ plot for conditional residuals or NPDE
`res_time()` `res_tafd()` `res_tad()`	Plot residuals versus time
`rot_x()` `rot_y()`	Rotate axis text
`scatt()`	Scatter plot function
`split_plot()`	Split and plot
`[`(<pm_opts>)	Extract multiple pmplots options
`supplement_cwres()`	Add `CWRES` column from `CWRESI` if needed
`theme_plain()`	A plain ggplot2 theme
`with(<pm_display>)`	with method for pm_display objects
`wrap_cont_cont()` `wrap_cont_time()` `wrap_res_time()` `wrap_eta_cont()` `wrap_hist()` `wrap_dv_preds()` `wrap_cont_cat()`	Faceted plots
`wres_time()` `wres_tafd()` `wres_tad()`	Plot weighted residuals versus time
`y_time()`	Plot continuous data versus time

Reference

All functions