model_pod: fit loess regression

In Hardervidertsie/modelpod: Point of departure estimation with natural splines

Description

dfdsf

Usage

model_pod(xcol, ycol, dataset, respLev, groups, minD, ...)

Arguments

xcol	string, column name of independant variable (usually the concentration).
ycol	string, column name of dependent variable/ measure/ response variable.
dataset	dataframe containing the x, y and groups columns.
respLev	Numeric, A number representing threshold for point of departure, strictly speaking this should be set to 0 for point of departures.
groups	string, column name of grouping variable which entries uniquely identify the replicate set of concentration response curves for a certain condition.
minD	integer, minimum number of unique concentrations per concentration response curve, curves with less are removed

Value

dataframe with the point of departure estimates

Author(s)

Steven Wink

Examples

model_pod(xcol = "GFP_int", ycol = "dose_uM", dataset = test_data,
      respL = 0.1,  groups = "treatment", minD = 7, span = 3/4, degree = 1)

Hardervidertsie/modelpod documentation built on May 3, 2019, 8:34 p.m.