plot_GOF: Goodness of Fits Plots

In Peccary-PMX/Peccary: PD and PK results

Goodness of Fits Plots

Description

Create goodness of fits plots for one or several runs, eventually spread by a covariate.

Usage

plot_GOF(object, plots_to_keep = F, cov_to_use = "", col_cov = F,
  gather_by_cov = F, plotly = F, filter = F, table_output = F,
  xlog = "", ylog = "", units_obs = "", units_time = "",
  method_smooth = "loess")

Arguments

object	either a run or a folder
plots_to_keep	by default create every possible GOF. User can select only plots of interest either by numbers or by strings
cov_to_use	string of the covariate header the user want to split GOFS
col_cov	bool, if true make one color per covariate on a single plot, if F make one layer per covariate value
gather_by_cov	bool, wether the user want plots gathered by covariate or by type of GOFS
plotly	bool, if true transforms static plots into plotly dynamic plots, usefull to detect outliers
filter	a filter can contains IPRED/PRED/OBS/TIME/NPDE/YTYPE... and any covariable (included ID) that you want. Can be quoted or not.
table_output	TRUE or FALSE, either to directly print the plots or to return the table

Details

plot_GOF() search of every possible goodness of fit plots and create them individually. If a proporitional error is found, according plots will be in logarithmic scales. User can filter as it wants the dataset. If several runs is given in input, through a folder, it will give back the table of every plots doable. User can then filter and arrange as it wants and then use the plot_invoke() function

Author(s)

Thibaud Derippe [e-mail]

Peccary-PMX/Peccary documentation built on Jan. 17, 2024, 9:27 p.m.