Rev 4823 | Blame | Compare with Previous | Last modification | View Log | Download | RSS feed
\name{Demand}\alias{Demand}\title{Per-capita demand deposits by state and year}\description{The \code{Demand} data frame has 77 rows and 8 columns of data onper-capita demand deposits by state and year.}\format{This data frame contains the following columns:\describe{\item{State}{an ordered factor with levels\code{WA} < \code{FL} < \code{CA} < \code{TX} < \code{IL} < \code{DC} < \code{NY}}\item{Year}{an ordered factor with levels\code{1949} < \dots{} < \code{1959}}\item{d}{a numeric vector of per-capita demand deposits}\item{y}{a numeric vector of permanent per-capita personal income}\item{rd}{a numeric vector of service charges on demand deposits}\item{rt}{a numeric vector of interest rates on time deposits}\item{rs}{a numeric vector of interest rates on savings and loanassociation shares.}}}\source{Littel, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger,R. D. (1996), \emph{SAS System for Mixed Models}, SAS Institute(Data Set 1.2.4).Feige, E. L. (1964), \emph{The Demand for Liquid Assets: A TemporalCross-Sectional Analysis.}, Prentice Hall.}\examples{str(Demand)if (require("lme4", quietly = TRUE, character = TRUE)) {## compare to output 3.13, p. 132summary(fm1Demand <-lmer(log(d) ~ log(y) + log(rd) + log(rt) + log(rs) + (1|State) + (1|Year),Demand))}}\keyword{datasets}