sasLM (version 0.10.5)

cSS: Sum of Square with a Given Contrast Set

Description

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

Usage

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

Value

Returns sum of square and its F value and p-value.

Df

degree of freedom

Sum Sq

sum of square for the set of contrasts

Mean Sq

mean square

F value

F value for the F distribution

Pr(>F)

proability of larger than F value

Arguments

K

contrast matrix. Each row is a contrast.

rx

a result of lfit function

mu

a vector of mu for the hypothesis K. The length should be equal to the row count of K.

eps

Less than this value is considered as zero.

Author

Kyun-Seop Bae [e-mail]

Details

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

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