gg_conc_time_ind: Individual concentration time plot

In AstraZeneca/pmxplore: Customized (gg)plots for PK/PD data

Description

Function requires model predictions. For plots without predictions use gg_conc_time() and add facets

Usage

gg_conc_time_ind(df, obs = DV, pred = PRED, ipred = IPRED, x = TAPD,
  id = ID, occ = NULL, facet_rows = 3, facet_scales = "free", ...)

Arguments

df	dataframe
obs	observed data column, Default: DV
pred	population predictions, Default: PRED
ipred	individual predictions, Default: IPRED
x	x variable, Default: TAPD
id	id variable, Default: ID
occ	occasion. If not NULL used as grouping variable (see details), Default: NULL
facet_rows	rows used in facet_wrap, Default: 3
facet_scales	scales used facet_wrap, Default: "free"

Details

If occ is provided, id and occ are combined using paste to create a new grouping variable for each occasion. Lines only connect data from each unique color+occ group. Useful for time after dose graphics. Population predictions: dashed lines and triangles, Individal predictions: lines and crosses, Observed data: open circles.

AstraZeneca/pmxplore documentation built on May 28, 2019, 11:04 a.m.