There two data sets contain data used in Hodges (1998). In addition to the data used in that manuscript, it contains other data items.
The original data consists of two matrices of dimensions of 341x6 and a 45x4 respectively.
The first matrix hodges
describes plans. The information for each plan is:
the state, a two-character code that identifies plans within state, the total premium for
an individual, the total premium for a family, the total enrollment of
federal employees as individuals, and the total enrollment of federal
employees as families.
The second matrix, hodges
, describes states. The information for each state is:
its two-letter abbreviation, the state average expenses per admission
(from American Medical Association 1991 Annual Survey of Hospitals),
population (1990 Census), and the region (from the Marion Merrill Dow
Managed Care Digest 1991).
The Hodges manuscript used these variables: Plan level: individual premium, individual enrollment. State level: expenses per admission, region.
data(hodges)
Two data frames the first with 341 observations on the following 6 variables.
state
a factor with 45 levels AL
AZ
CA
CO
CT
DC
DE
FL
GA
GU
HI
IA
ID
IL
IN
KS
KY
LA
MA
MD
ME
MI
MN
MO
NC
ND
NE
NH
NJ
NM
NV
NY
OH
OK
OR
PA
PR
RI
SC
TN
TX
UT
VA
WA
WI
plan
a two-character code that identifies plans within state declared here as factor with 325 levals.
prind
a numeric vector showing the total premium for an individual
prfam
a numeric vector showing the total premium for a family
enind
a numeric vector showing the total enrollment of federal employees as individuals
enfam
a numeric vector showing the total enrollment of federal employees as families.
and the second with 45 observations on the following 4 variables
State
a factor with levels same as state above
expe
a numeric vector showing the state average expenses per admission (from American Medical Association 1991 Annual Survey of Hospitals)
pop
a numeric vector shoing the population (1990 Census)
region
the region (from the Marion Merrill Dow Managed Care Digest 1991),
a factor with levels MA
MT
NC
NE
PA
SA
SC
Hodges, J. S. (1998). Some algebra and geometry for hierarchical models, applied to diadnostics. J. R. Statist. Soc. B., 60 pp 497:536.
data(hodges)
attach(hodges)
plot(prind~state, cex=1, cex.lab=1.5, cex.axis=1, cex.main=1.2)
str(hodges)
data(hodges1)
str(hodges1)
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