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. 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.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations

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Dataset imported from https://www.r-project.org.