calculate_model: ' select the best model function

In ropensci/DoOR.functions: Integrating Heterogeneous Odorant Response Data into a Common Response Model: A DoOR to the Complete Olfactome

' select the best model function

Description

calculate_model is used to return the best model function that represent the relationship between responses from study x and y.

Usage

calculate_model(x, y, select.MD = door_default_values("select.MD"))

Arguments

x, y	data vectors from study x and y (can contain NA)
select.MD	logical, if TRUE, only the best model function (in terms of MD) will be returned.

Details

calculate_model chooses the best model function from following: linear, exponential function, sigmoid, asymptotic model with x intercept, asympototic model with y intercept and their inverse versions. (If your are interested in these functions please check the sources at https://github.com/Dahaniel/DoOR.functions)

Author(s)

Shouwen Ma <[e-mail]>

Daniel Münch <[e-mail]>

Examples

# load a data set
library(DoOR.data)
data(Or35a)

# pick 2 data sets for Or35a and rescale the data [0,1]
x <- door_norm(Or35a[,6])
y <- door_norm(Or35a[,9])
# run calculate_model
calM_xy <- calculate_model(x,y, select.MD = door_default_values("select.MD"))

ropensci/DoOR.functions documentation built on Feb. 22, 2024, 9:44 a.m.