Marg.fct function
Greetings Peter and Jeff, Thanks for this information. Will try these type of analyses in SAS. Sure they are doable in R, but developing a procedure is difficult. Alan Agresti gives a cookbook SAS method in An Introduction to Categorical Analysis. Thanks, James
On Sun, Feb 5, 2017 at 3:47 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
It is not part of "R". You can dig through all of the packages that the author mentions, or send an email to the author. -- Sent from my phone. Please excuse my brevity. On February 5, 2017 11:44:40 AM PST, James Henson <jfhenson1 at gmail.com> wrote:
Greetings R Community, An attempt to reproduce the results from code in the source below fails. R cannot find the function ?Marg.fct?. An Internet search for the ?Marg.fct? function was not fruitful. I appreciate your help. Best regards, James F. Henson. R (and S-PLUS) Manual to Accompany Agresti?s Categorical Data Analysis (2002) 2nd edition Laura A. Thompson, 2009? http://www.stat.ufl.edu/~aa/cda/Thompson_manual.pdf page 181 The code is: # Code from Manual to Accompany Agresti?s Categorical Data Analysis (2002) 2nd edition Laura A. Thompson, 2009 y <- c(144, 33, 84, 126, 2, 4, 14, 29, 0, 2, 6, 25, 0, 0, 1, 5) ZF <- Z <- matrix(1,16,1) # M1 <- Marg.fct(1,rep(4,2)) # used to get m1+, etc Error: could not find function "Marg.fct" M2 <- Marg.fct(2,rep(4,2)) # used to get m+1, etc # C.matrix <- matrix(c( 1, 0, 0, 0, -1, 0, 0, 0, # y1+ = y+1 0, 1, 0, 0, 0, -1, 0, 0, # y2+ = y+2 0, 0, 1, 0, 0, 0, -1, 0), # y3+ = y+3 3,8,byrow=T) h.fct <- function(m) { # constraint function marg <- rbind(M1%*%m, M2%*%m) # y1+, y2+, y3+, y4+, y+1, y+2, y+3, y+4 C.matrix%*%marg # y1+ = y+1, y2+ = y+2, etc } # a <- mph.fit(y=y,Z=Z,ZF=ZF,h.fct=h.fct) mph.summary(a)
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