makeFormula: Standardized formula maker
In biomod2: Ensemble Platform for Species Distribution Modeling

Description Usage Arguments Details Value Author(s) See Also Examples

makeFormula is an internal biomod2 function that can be useful to help users to build easily some standardized formula used later by statistical models.

makeFormula(respName, 
            explVar, 
            type = 'simple', 
            interaction.level = 0,
            ...)

`respName`	a `character` indicating the response variable name
`explVar`	a `matrix` or a `data.frame`, the explanatory variables table that will be considered at modelling step
`type`	either 'simple', 'quadratic', 'polynomial' or 's_smoother' defining the type of formula you want to build
`interaction.level`	an `integer`, the interaction level depth between explanatory variables
`...`	some additional arguments (see details)

It's advise to give only a subset of explVar table to avoid useless memory consuming. If some explanatory variables are factorial ones, you have to give a data.frame for explVar where associated columns are define as factor.

... argument availables values are :

k the smooting parameter value (used only if type = 's_smoother') corespunding to k parameter of mgcv s or df gam s arguments.

A link[stats]{formula} class object that can be directly given to most of R statistical models.

Damien Georges

BIOMOD_ModelingOptions, link[stats]{formula}

# create simulated data
myResp <- sample(c(0,1),20, replace=TRUE)
myExpl <- matrix(runif(60), ncol=3, dimnames=list(NULL,c('var1','var2','var3')))

# create a formula
myFormula <- makeFormula( respName = 'myResp', 
                          explVar = head(myExpl), 
                          type = 'quadratic', 
                          interaction.level = 0)
# show formula created
myFormula