sasLM (version 0.6.0)

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)

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.

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

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 hypotheis that the linear combination (function)'s mean vector is mu.

See Also

CONTR

Examples

# NOT RUN {
  rx = REG(uptake ~ Type, CO2, summarize=FALSE)
  cSS(t(c(0, -1, 1)), rx) # sum of square 
  ANOVA(uptake ~ Type, CO2) # compare with the above
# }