The
belt data frame has 80 rows and 9 columns. It contains
factor data concerning the effectiveness of seatbelt use in
reducing the risk of injury in automobile accidents.
DATA DESCRIPTION:
This data frame contains the following columns:
ARGUMENTS:
Injuryp
if this is an injury accident as given on the police report, then
"YesIp". Otherwise, "NoIp".
Beltp
if the police report indicates that seatbelts were used, then
"YesBp". Otherwise, "NoBp".
Sex
the sex of the driver, "Male" or "Female".
damage
the amount of damage to the car, "low", or "high".
count
the number of accidents with the reported responses.
Beltf
if follow up indicates that seatbelts were used, then
"YesBf". Otherwise, "NoBf".
Injuryf
if follow up indicates that this is an injury accident, then
"YesIf". Otherwise, "NoIf".
EB
If the police report and follow up agree with respect to seatbelt use,
then TRUE, otherwise FALSE.
EI
If the police report and follow up agree with respect to injury, then
TRUE, otherwise FALSE.
REFERENCES:
Schafer, J. L. (1997), Analysis of Incomplete Multivariate Data ,
Chapman and Hall, New York.
SEE ALSO:
,
,
.
EXAMPLES:
mdLoglin(object = belt, frequency = count, na.proc = "em")