dose_proportionality_linear: Dose proportionality test (linear model)

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

Description

lm fit to test for dose proportionality

Usage

dose_proportionality_linear(df, x, y, ci.level = 0.95, plot.par = F,
  x_min = 0, max_position = 1.2, min_tab_position = 1.05,
  min_p_position = 0.9, signif = 3, p_value_threshold = 0.05)

Arguments

df	data frame
x	x variable (e.g. dose)
y	y parameter (e.g. auc)
ci.level	confidence level for lm fit in plot, Default: 0.95
plot.par	add table with lm parameters, Default: F
x_min	lower limit passed to coord_carteesian (absolute), Default: 0
max_position	upper y limit passed to coord_carteesian (relative max(y)), Default: 1.2
min_tab_position	lower y-value for parameter table (relative max(y)), Default: 1.05
min_p_position	position of p-value string (relative max(y)), Default: 0.9
signif	number of significant numbers in parameter table, Default: 3
p_value_threshold	p-value threshold for inclusion of intercept, Default: 0.05

Value

list with plot, lm summary and lm fit

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