wrap_plots.RdFor these plots, data sets made long with respect to several
y-axis variables and then plotted and faceted with facet_wrap.
wrap_cont_cont(df, x, y, ..., fun = cont_cont, title = NULL, scales = "free_y", ncol = NULL, use_labels = FALSE) wrap_cont_time(df, ..., x = pm_axis_time()) wrap_res_time(df, ..., x = pm_axis_time()) wrap_eta_cont(df, x, y, scales = "fixed", ...) wrap_hist(df, x, title = NULL, scales = "free_x", ncol = NULL, use_labels = FALSE, ...) wrap_dv_preds(df, ..., title = "Predicted {yname}", xname = "", scales = "fixed")
| df | data frame to plot |
|---|---|
| x | x-axis data in col_label format |
| y | y-axis data in col_label format |
| ... | passed to |
| fun | the plotting function |
| title | a title to use for the axis with faceting groups |
| scales | passed to |
| ncol | passed to |
| use_labels | if |
| xname | placeholder |
wrap_cont_cont is a general function used by the others to
create faceted plots of two continuous variables. wrap_cont_time
plots several continuous variables versus time. wrap_res_time
plots several different residuals (or NPDE) versus time. wrap_eta_cont
plots etas versus a continuous covariate. wrap_hist creates a faceted
histogram plot.