nObs.intReg: Number of observations.

In intReg: Interval Regression

Description

Extracts the number of observations in the intReg model

Usage

## S3 method for class 'intReg'
nObs(x, ...)

Arguments

x	object of class ‘intReg’, estimated interval regression model
...	other parameters for different methods

Value

Integer, number of observations

Author(s)

Ott Toomet [e-mail]

See Also

summary.intReg which provides related functionality.

Examples

## Example of observation-specific boundaries
## Estimate the willingness to pay for the Kakadu National Park
## Data given in intervals -- 'lower' for lower bound and 'upper' for upper bound.
## Note that dichotomous-coice answers are already coded to 'lower' and 'upper'
data(Kakadu, package="Ecdat")
Kakadu <- Kakadu[sample(nrow(Kakadu), 500),]
                        # subsample to speed up the estimation
## Estimate in log form, change 999 to Inf
lb <- log(Kakadu$lower)
ub <- Kakadu$upper
ub[ub > 998] <- Inf
ub <- log(ub)
y <- cbind(lb, ub)
m <- intReg(y ~ sex + log(income) + age + schooling + 
              recparks + jobs + lowrisk + wildlife + future + aboriginal + finben +
              mineparks + moreparks + gov +
              envcon + vparks + tvenv + major, data=Kakadu)
## You may want to compare the results to Werner (1999),
## Journal of Business and Economics Statistics 17(4), pp 479-486
print(nObs(m))

intReg documentation built on May 2, 2019, 4:43 p.m.