cSS: Sum of Square with a Given Contrast Set

In sasLM: 'SAS' Linear Model

Sum of Square with a Given Contrast Set

Description

Calculates the sum of squares of a contrast from an lfit result.

Usage

  cSS(K, rx, mu=0, eps=1e-8)

Arguments

K	contrast matrix. Each row is a contrast.
rx	a result of the lfit function
mu	a vector of mu for the hypothesis K. The length should be equal to the row count of K.
eps	Values less than this are considered zero.

Details

It calculates the sum of squares with a given contrast matrix and an lfit result. It corresponds to SAS PROC GLM CONTRAST. This can test the hypothesis that the linear combination (function)'s mean vector is mu.

Value

Returns the sum of squares and its F value and p-value.

Df	degrees of freedom
Sum Sq	sum of squares for the set of contrasts
Mean Sq	mean square
F value	F value for the F distribution
Pr(>F)	probability of a larger F value

Author(s)

Kyun-Seop Bae [e-mail]

See Also

CONTR

Examples

  rx = REG(uptake ~ Type, CO2, summarize=FALSE)
  cSS(t(c(0, -1, 1)), rx) # sum of square 
  GLM(uptake ~ Type, CO2) # compare with the above

sasLM documentation built on June 15, 2026, 9:07 a.m.