dot-anovatable: Analysis of Variance (from RSS and ESS)

In jeksterslabds/jeksterslabRlinreg: Jekster's Lab Linear Regression Utilities

Description

Analysis of Variance (from RSS and ESS)

Usage

.anovatable(RSS = NULL, ESS = NULL, n, k, X, y)

Arguments

RSS	Numeric. Residual sum of squares.
ESS	Numeric. Explained sum of squares.
n	Integer. Sample size.
k	Integer. Number of regressors including a regressor whose value is 1 for each observation.
X	n by k numeric matrix. The data matrix \mathbf{X} (also known as design matrix, model matrix or regressor matrix) is an n \times k matrix of n observations of k regressors, which includes a regressor whose value is 1 for each observation on the first column.
y	Numeric vector of length n or n by 1 matrix. The vector \mathbf{y} is an n \times 1 vector of observations on the regressand variable.

Value

Returns the ANOVA table.

Author(s)

Ivan Jacob Agaloos Pesigan

Ivan Jacob Agaloos Pesigan

See Also

Other hypothesis testing functions: anovatable(), ci(), nhst()

jeksterslabds/jeksterslabRlinreg documentation built on Jan. 7, 2021, 8:30 a.m.