README.md

In CRG180/NPSOR:

NPSOR

Install

devtools::install_github("CRG180/NPSOR")

Linear Regression Error

These also work with a fit object from tidymodels $fit

Root Mean Square Error RMSE(x) x can be a lm object or a numeric vector of residuals Mean Square Error MSE(x) x can be a lm object or a numeric vector of residuals Mean Absolute Error MAE(x) x can be a lm object or a numeric vector of residuals

Train and Test Data Split

split_df(df, p = .8) df= a dataframe, p= proportion to be training data. Output is list with two data frames: $train and$test

Example

library(NPSOR)

mtcars2 <-split_df(mtcars,.8)

train_model <- lm(mpg~., mtcars2$train)

test <- predict(train_model, mtcars2$test)

error <- (test-mtcars2$test$mpg)

test_model <-lm(mpg~., mtcars2$train)

RMSE(train_model) # Training RMSE

RMSE(error) #Test RMSE `

CRG180/NPSOR documentation built on June 3, 2021, 4:37 a.m.