cv.work: K-fold cross validation

In freestats: Statistical algorithms used in common data mining course

Description

Calculate cross-validation error

Usage

cv.work(fun, k = 5, data, cost, response = "y", ...)

Arguments

fun	The model function to call on the data
k	The number of folds
data	The data
cost	Cost function for the error:'cost.mse','cost.01'
response	Character vector indicating which column is the response
...	Extra arguments for model function

Value

A single cross-validated error

Author(s)

Xiaoyao Yang

Examples

set.seed(188)
X <- rnorm(n=100,mean=3,sd=2)
y <- rnorm(100) + X
dat <- data.frame(y=y,X=X)
cv.work(fun=lm,k=5,data=dat,cost=cost.mse,response='y',formula=y~X)

freestats documentation built on May 2, 2019, 1:18 p.m.