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' select the best model function

Source: R/calculate_model.R
calculate_model.Rd

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

Shouwen Ma <shouwen.ma@uni-konstanz.de>

Daniel Münch <daniel.muench@uni-konstanz.de>

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"))
#> Warning: selfStart initializing functions should have a final '...' argument since R 4.1.0
#> Warning: selfStart initializing functions should have a final '...' argument since R 4.1.0