R: Liability Insurance Coverage for Hunters and Anglers in...
daIns
R Documentation
Liability Insurance Coverage for Hunters and Anglers in Mississippi
Description
This data set contains a survey result about liability insurance purchase decision by hunters and anglers in Mississippi. There are 1653 observations for 14 variables.
Y
Binary dependent variable = 1 if had liability insurance; 0 otherwise
Injury
Times of bodily injuries or property damages in the past three years
HuntYrs
Years of hunting
Nonres
Dummy = 1 if nonresidents; 0 if Mississippi residents
Lspman
Dummy = 1 if purchased the license of resident sportsman; 0 otherwise
Lnong
Dummy = 1 if purchased the license of nonresident all game; 0 otherwise
Gender
Dummy = 1 if male; 0 otherwise
Age
Age of the hunter or angler
Race
Dummy = 1 if Caucasian; 0 otherwise
Marital
Dummy = 1 if married; 0 otherwise
Edu
Years of education
Inc
Household income in 2004 (1,000 dollars)
TownPop
Population size of the residence town (1,000)
FishYrs
Years of fishing
Usage
data(daIns)
Format
A cross sectional data with 1653 observations and 14 variables.
Details
The data set is from a telephone survey conducted in 2005 in Mississippi.
Source
Sun, C., S. Pokharel, W.D. Jones, S.C. Grado, and D.L. Grebner. 2007. Extent of recreational incidents and determinants of liability insurance coverage for hunters and anglers in Mississippi. Southern Journal of Applied Forestry 31(3):151-158.
See Also
daInsNam
Examples
data(daIns)
class(daIns); dim(daIns)
head(daIns); tail(daIns)
ra <- glm(formula = Y ~ Injury + HuntYrs + Nonres +
Lspman + Lnong + Gender + Age +
Race + Marital + Edu + Inc + TownPop,
family = binomial(link="logit"),
data = daIns, x = TRUE, y= TRUE)
names(ra); summary(ra)
(ins.me <- maBina(w = ra))
(ins.mt <- maTrend(q=ins.me, nam.c="Age", nam.d="Nonres"))
plot(ins.mt)