linear_regression: linear_regression

In BangyaoZhao/package2:

Description

linear_regression

Usage

linear_regression(
  y,
  x,
  intercept = T,
  y_bars = F,
  ss = F,
  variances = F,
  t_test = F,
  f_test = F,
  hat_matrix = F,
  residuals = F
)

Arguments

y	a vector, outcomes.
x	a numerical matrix, each row represents an observation and each column represents a covariate.
intercept	a logical value, TRUE by default, indicating should the function include a intercept for the user.
y_bars	a logical value, indicating should the function output the estimated y's. It is FALSE by default, but will be set TRUE if either ss, variances, t_test, f_test or residuals is set TRUE
ss	a logical value, indicating should the function output sum of squares. It is FALSE by default, but will be set TRUE if either variances, f_test or t_test is set TRUE
variances	a logical value, indicating should the function output variances. It is FALSE by default, but will be set TRUE if t_test is set TRUE
t_test	a logical value, indicating should the function output results of t test.
f_test	a logical value, indicating should the function output results of f test.
hat_matrix	a logical value, indicating should the function output the hat matrix.
residuals	a logical value, indicating should the function output residuals.

Value

the regression result, a list

Examples

linear_regression(c(3,5,6),c(1,2,3))

BangyaoZhao/package2 documentation built on Nov. 21, 2019, 3:55 a.m.