This function constructs a formula based on splines for additive models.
Usage
formulaAm(X,Y)
Arguments
X
a data.frame containing the design of experiments
Y
a vector containing the associated response
Value
an object of class formula.
Note
The names of input variables are used to build the appropriate formula.
Author(s)
D. Dupuy
Examples
data(dataIRSN5D)
X <- dataIRSN5D[,1:5]
Y <- dataIRSN5D[,6]
formulaAm(X,Y)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(DiceEval)
Loading required package: DiceKriging
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DiceEval/formulaAm.rd_%03d_medium.png", width=480, height=480)
> ### Name: formulaAm
> ### Title: Construction of a formula Y~s(X1)+...+s(Xp)
> ### Aliases: formulaAm
> ### Keywords: models regression internal
>
> ### ** Examples
>
> data(dataIRSN5D)
> X <- dataIRSN5D[,1:5]
> Y <- dataIRSN5D[,6]
> formulaAm(X,Y)
Y ~ s(b) + s(e) + s(p) + s(r) + s(l)
<environment: 0x1542dd8>
>
>
>
>
>
> dev.off()
null device
1
>