BasketballAnalyzeR (version 0.5.0)

simplereg: Simple linear and nonparametric regression

Description

Simple linear and nonparametric regression

Usage

simplereg(x, y, type = "lin", sp = NULL)

Arguments

x

numerical vector, input x values.

y

numerical vector, input y values.

type

character, type of regression; available options are: lin (linear regression, the default), pol (local polynomial regression of degree 2), ks (nonparametric kernel smoothing).

sp

numeric, parameter to control the degree of smoothing; span for local polynomial regression and bandwidth for ksmooth.

Value

An object of class simplereg, i.e. a list with the following objects:

• Model, the output model (linear regression, local polynomial regression, or kernel smoothing)

• R2, (in-sample) coefficient of determination

• x, input x values

• y, input y values

• type, type of regression

References

P. Zuccolotto and M. Manisera (2020) Basketball Data Science: With Applications in R. CRC Press.

See Also

loess, ksmooth

Examples

# NOT RUN {
Pbox.sel <- subset(Pbox, MIN >= 500)
X <- Pbox.sel$AST/Pbox.sel$MIN
Y <- Pbox.sel$TOV/Pbox.sel$MIN
Pl <- Pbox.sel$Player
mod <- simplereg(x=X, y=Y, type="lin")
# }