dose_proportionality_power: Dose proportionality test (power model)

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

Description

log(y)~log(y) lm fit to test for dose proportionality

Usage

dose_proportionality_power(df, x, y, ci.level = 0.95, max_position = 1.2,
  min_tab_position = 1.05, min_text_position = 0.9, signif = 3)

Arguments

df	data frame
x	x variable (e.g. dose) passed in untransformed
y	y parameter (e.g. auc) passed in untransformed
ci.level	confidence level for lm fit in plot, Default: 0.95
max_position	upper y limit passed to coord_carteesian (relative max(y)), Default: 1.1
min_tab_position	lower y-value for parameter table (relative max(y)), Default: 1.05
min_text_position	position of text string (relative max(y)), Default: 1
signif	number of significant numbers in parameter table, Default: 3
plot.par	add table with fit parameters, Default: F

Value

list with plot, power lm summary and power lm fit

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