[R] Error using nlme; Malformed factors

[Wong Yoke Yong]

HI all,

I am using the nlme package to learn multilevel models, and following
examples from the textbook "Discovering Statistics Using R" when it
happened.

[Mixed Models Code][1]

The data set is Honeymoon Period.dat, also downloadable under their
companion website.

[Data Set - Multilevel Models][2]

require(nlme)
require(reshape2)
satisfactionData = read.delim("Honeymoon Period.dat", header = TRUE)

restructuredData<-melt(satisfactionData, id = c("Person", "Gender"),
measured = c("Satisfaction_Base", "Satisfaction_6_Months",
"Satisfaction_12_Months", "Satisfaction_18_Months"))
names(restructuredData)<-c("Person", "Gender", "Time",
"Life_Satisfaction")


#print(restructuredData)
#restructuredData.sorted<-restructuredData[order(Person),]

intercept <-gls(Life_Satisfaction~1, data = restructuredData, method =
"ML", na.action = na.exclude)
randomIntercept <-lme(Life_Satisfaction ~1, data = restructuredData,
random = ~1|Person, method = "ML", na.action = na.exclude, control =
list(opt="optim"))
anova(intercept, randomIntercept)

timeRI<-update(randomIntercept, .~. + Time)
timeRS<-update(timeRI, random = ~Time|Person)
ARModel<-update(timeRS, correlation = corAR1(0, form = ~Time|Person))

The error occured at this moment, when I am trying to update "timeRS"
model. The error is as follows:

Error in as.character.factor(X[[i]], ...) : malformed factor

Help would be appreciated. Thanks!

[1]:
https://studysites.uk.sagepub.com/dsur/study/DSUR%20R%20Script%20Files/Chapter%2019%20DSUR%20Mixed%20Models.R
[2]: https://studysites.uk.sagepub.com/dsur/study/articles.htm


Regards,
Yoke Yong

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