Qfun4 | R Documentation |
An internal function used to assess the goodness-of-fit of a weighted mixture of reference profiles to a specified profile
Qfun4(pvec, y, gmat, methodQ = "sumsquares")
pvec |
vector of values between 0 and 1 summing to one (length = number of compartments) |
y |
specified profile |
gmat |
matrix of reference profiles |
methodQ |
either 'sumsquares' (default) or 'sumabsvalue' |
Value of goodness-of-fit function
# Suppose a profile consists of four fractions and there are three
# reference compartment, designated A, B, and C
A <-c(1, 0, 0, 0)
B <- c(0, .5, 0.5,0)
C <-c(0, 0, 0, 1)
gmat<-cbind(A, B,C)
# make vector for a specified profile to be evaluated
yy <- c(0.2, 0.15, 0.15, 0.5)
# make vector for candidate CPA value to be evaluated
pvec1 <- c(1, 0, 0) # 100% in compartment A, 0% in compartment B2,
# 0% in compartment C
pvec2<-c(0, 1, 0) # 0% in compartment A, 100% in compartment B2,
# 0% in compartment C
pvec3<-c(0,0,1) # 0% in compartment A, 0% in compartment B2,
# 100% in compartment C
pvec4<-c(0.2, 0.3, 0.5) #20% in compartment A, 30% in compartment B2,
# 50% in compartment C
Qfun4(pvec1, yy, gmat)
Qfun4(pvec2, yy, gmat)
Qfun4(pvec3, yy, gmat)
Qfun4(pvec4, yy, gmat)
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