R Dataset / Package Ecdat / DoctorAUS

On this R-data statistics page, you will find information about the DoctorAUS data set which pertains to Doctor Visits in Australia . The DoctorAUS data set is found in the Ecdat R package. You can load the DoctorAUS data set in R by issuing the following command at the console data("DoctorAUS"). This will load the data into a variable called DoctorAUS. If R says the DoctorAUS data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the DoctorAUS R data set. The size of this file is about 247,029 bytes.

Doctor Visits in Australia

Description

a cross-section from 1977–1978

number of observations : 5190

observation : individuals

country : Australia

Usage

data(DoctorAUS)

Format

A dataframe containing :

sex: sex
age: age
income: annual income in tens of thousands of dollars
insurance: insurance contract (medlevy : medibanl levy, levyplus : private health insurance, freepoor : government insurance due to low income, freerepa : government insurance due to old age disability or veteran status
illness: number of illness in past 2 weeks
actdays: number of days of reduced activity in past 2 weeks due to illness or injury
hscore: general health score using Goldberg's method (from 0 to 12)
chcond: chronic condition (np : no problem, la : limiting activity, nla : not limiting activity)
doctorco: number of consultations with a doctor or specialist in the past 2 weeks
nondocco: number of consultations with non-doctor health professionals (chemist, optician, physiotherapist, social worker, district community nurse, chiropodist or chiropractor) in the past 2 weeks
hospadmi: number of admissions to a hospital, psychiatric hospital, nursing or convalescent home in the past 12 months (up to 5 or more admissions which is coded as 5)
hospdays: number of nights in a hospital, etc. during most recent admission: taken, where appropriate, as the mid-point of the intervals 1, 2, 3, 4, 5, 6, 7, 8-14, 15-30, 31-60, 61-79 with 80 or more admissions coded as 80. If no admission in past 12 months then equals zero.
medecine: total number of prescribed and nonprescribed medications used in past 2 days
prescrib: total number of prescribed medications used in past 2 days
nonpresc: total number of nonprescribed medications used in past 2 days

Source

Cameron, A.C. and P.K. Trivedi (1986) “Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests”, Journal of Applied Econometrics, 1, 29-54..

References

Cameron, A.C. and Trivedi P.K. (1998) Regression analysis of count data, Cambridge University Press, http://cameron.econ.ucdavis.edu/racd/racddata.html, chapter 3.

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