In casparsylwan/casparnitin4: This packages is the classical linear regression.

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

The package tries to demonstrate linear regression using reference class.

Vignette Info

We have elucidated print(), plot(), resid(), pred(), coef() & summary().

coef()

library(casparnitin4)
linreg_mod <- linreg$new(Petal.Length~Species, data = iris)
linreg_mod$coef()[1:3]

pred()

library(casparnitin4)
linreg_mod <- linreg$new(Petal.Length~Species, data = iris)
linreg_mod$pred()[c(1,51,101)]

resid()

library(casparnitin4)
linreg_mod <- linreg$new(Petal.Length~Species, data = iris)
linreg_mod$resid()[c(1,51,101)]

print()

library(casparnitin4)
linreg_mod <- linreg$new(Petal.Length~Species, data = iris)
linreg_mod$print()

summary()

library(casparnitin4)
linreg_mod <- linreg$new(Petal.Length~Species, data = iris)
linreg_mod$summary()

casparsylwan/casparnitin4 documentation built on May 23, 2019, 6:03 p.m.