Hello R Users: I am using the survey package in R for modeling with complex survey data. I am trying to reset the baseline level of certain predictor variables being used in a logistic regression without success. The following is a reproducible example:
library(RCurl) library(survey) data <- getURL("https://raw.githubusercontent.com/cbenjamin1821/careertech-ed/master/elsq1adj.csv") elsq1ch <- read.csv(text = data) #Specifying the svyrepdesign object which applies the BRR weights elsq1ch_brr<-svrepdesign(variables = elsq1ch[,1:16], repweights = elsq1ch[,18:217], weights = elsq1ch[,17], combined.weights = TRUE, type = "BRR") elsq1ch_brr #Log. Reg. model allCC <- svyglm(formula=F3ATTAINB~F1PARED+BYINCOME+F1RACE+F1SEX+F1RGPP2+F1HIMATH+F1RTRCC,family="binomial",design=elsq1ch_brr,subset=BYSCTRL==1&G10COHRT==1,na.action=na.omit) summary(allCC) ##Attempting to reset baseline level for predictor variable #Both attempts did not work elsq1ch$F1HIMATH <- C(elsq1ch$F1HIMATH,contr.treatment, base=1) elsq1ch$F1HIMATH <- relevel(elsq1ch$F1HIMATH,"PreAlg or Less") #Log. Reg. model with no changes in baseline levels for the predictors allCC <- svyglm(formula=F3ATTAINB~F1PARED+BYINCOME+F1RACE+F1SEX+F1RGPP2+F1HIMATH+F1RTRCC,family="binomial",design=elsq1ch_brr,subset=BYSCTRL==1&G10COHRT==1,na.action=na.omit) summary(allCC) Any guidance is greatly appreciated.? Sincerely, Courtney? Courtney Benjamin Broome-Tioga BOCES Automotive Technology II Teacher Located at Gault Toyota Doctoral Candidate-Educational Theory & Practice State University of New York at Binghamton cbenj...@btboces.org<mailto:cbenj...@btboces.org> 607-763-8633 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.