| Version: | 1.0-2 |
| Title: | Datasets for Agresti and Finlay's "Statistical Methods for the Social Sciences" |
| Suggests: | devtools |
| Description: | Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay. |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Packaged: | 2015-10-30 02:00:26 UTC; jrnold |
| Author: | Jeffrey B. Arnold [aut, cre], Alan Agresti [cph], Barbara Finlay [cph] |
| Maintainer: | Jeffrey B. Arnold <jeffrey.arnold@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2015-10-31 00:30:27 |
Data from Agresti "Statistical Methods for the Social Sciences"
Description
Data-only package with the datasets used by the textbook, Statististical Methods for the Social Sciences by Alan Agresti and Barbara Finlay.
Agresti, Alan and Barbara Finlay (2009), Statistical Methods for the Social Sciences, 4th ed., Pearson
Agresti, Alan and Barbara Finlay (1997), Statistical Methods for the Social Sciences, 3rd ed., Pearson
The datasets included in this package are those avaialable at http://www.stat.ufl.edu/~aa/social/data.html.
Data from 2005 UN Human Development Report.
Description
These data are from the Human Development report of 2005. Note however that the values given are from 2003 except for CO2 which is 2002.
Table 9.13 in the 4th Edition.
Format
data.frame with 39 observations of the following 11 variables,
HDIHDI value
FertTotal Fertility rate (births/woman)
ContContraceptive prevalence rate (%)
CellCellular subscribers (per 1000 people)
InterInternet users (per 1000 people)
GDPGDP per capita (US$)
CO2Carbon dioxide emissions per capita (metric tons)
LifeLife expectancy at birth, female (years)
LiterAdult literacy rate (female rate % ages 15 and above)
FemEcFemale economic activity rate (% of male rate, ages 15 and above)
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(UNdata)
summary(UNdata)
Anorexia Study data
Description
Weights of Anorexic girls, before and after receiving one of three possible therapies. Thanks to Prof. Brian Everitt, Institute of Psychiatry, London, for supplying these data.
Format
data.frame with 72 observations of the following 4 variables,
subjSubject ID
therapyTherapy type. b = cognitive behavioural, f = family therapy, or c = control.
beforeWeight before treatment
afterWeight after treatment
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(anorexia)
summary(anorexia)
Birth Rate Data
Description
Birth rates of several nations. Table 9.13 of 3rd edition.
Format
data.frame with 29 observations of the following 10 variables,
Bcrude birth rate (number of births per 1000 population size)
Wwomen's economic activity (female labor force as percent of male)
Cpercent women using contraception
LIfemale adult literacy rate
LEfemale life expectancy
HDIhuman development index (which has components referring to life expectancy at birth, educational attainment, and income per capita)
GNPgross national product (per capita, in thousands of dollars)
Ndaily newspaper circulation per 100 people
Tnumber of televisions per 100 people.
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(birth.rates)
summary(birth.rates)
2005 Statewise Crime
Description
Data from the Statistical Abstract of the United States
Format
data.frame with 51 observations of the following 8 variables,
STATEU.S. state
VIviolent crime rate (number of violent crimes per 100,000 population)
VI2violent crime rate (number of violent crimes per 10,000 population)
MUmurder rate
MEpercent in metropolitan areas
WHpercent white
HSpercent high school graduates
POpercent below the poverty level.
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(crime2005)
summary(crime2005)
Fertility and GDP Data
Description
Table 14.6 from the 4th edition.
Format
A data.frame with 38 observations on the following 3 variables,
Nationnation
FertilityFertility rate
GDPGDP per capita
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(fertility.gdp)
summary(fertility.gdp)
Florida Crime Data
Description
Crime data for florida counties. Table 9.16 or 9.17 from the 4th edition. Source: Dr. Larry Winner, University of Florida.
Format
data.frame with 67 observations of the following 5 variables,
Countycounty name
Ccrime rate
Imedian income
HSpercent completing high school
Upercent urban
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(fl.crime)
summary(fl.crime)
House Selling Price Data
Description
Selling price of homes in Gainesville, Florida, fall 2006, from Alachua County public records. Excerpt in Table 9.4 of 4th edition.
Format
data.frame with 100 observations of the following 7 variables,
caseobservation id
Bathsnumber of bathrooms
Newwhether new (1 = yes, 0 = no)
Priceselling price (dollars)
Sizesize of home (square feet)
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(house.selling.price)
summary(house.selling.price)
House Selling Price 2 Data
Description
Selling price of homes in Gainesville, Florida, January 1996. Table 9.4 in 3rd edition. Data provided by Jane Myers, Coldwell-Banker Realty.
Format
data.frame with 93 observations of the following 5 variables,
Pselling price
Banumber of bathrooms
Newwhether new (1 = yes, 0 = no)
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(house.selling.price.2)
summary(house.selling.price.2)
Income, Education and Race Data
Description
Data on annual income, number of years of eduction, and racial-ethnic group (Black, Hispanic, White). Table 13.1 of 4th edition.
Format
data.frame with 80 observations of the following 5 variables,
incincome (thousands of dollars)
educnumber of years of education (where 12 = high school graduate, 16 = college graduate)
raceracial-ethnic group (b=Black, h=Hispanic, w=White)
z1racial group (1=black, 0=white)
z2ethnic group (1=Hispanic, 0=non-Hispanic)
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(inc.ed.race.13p1)
summary(inc.ed.race.13p1)
Income and Credit Card Possession Data
Description
Data on annual income (euros), number of subjects at that income level, and number possessing##' a travel credit card. Source: Based on data in "Categorical Data Analysis," Quaderni del Corso Estivo di Statistica e Calcolo delle Probabilita;, n. 4., Istituto di Metodi Quantitativi, Universita; Luigi Bocconi, a cura di R. Piccarreta (1993). Table 15.1 of 4th edition.
Format
data.frame with 24 observations of the following 3 variables,
Incomeannual income (euros)
nnumber of subjects
creditnumber possessing a credit card
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(income.credit)
summary(income.credit)
Mental Impairment Data
Description
Data from a study in Alachua County, Florida on between mental health. Source A. Charles Holzer. See Table 11.1 of the 4th edition.
Format
data.frame with 40 observations of the following 3 variables,
impairMental impairment
lifeLife events score
sesSocial economic status
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(mental.impairment)
summary(mental.impairment)
OECD Data
Description
The OECD (Organization for Economic Cooperation and Development) is an international organized that consists of developed countries. This dataset has UN data on OECD countries.
See Table 3.11 and Exercise 3.6.
Format
data.frame with 23 observations of the following 9 variables,
nationCountry name
GDPGDP per capita (in US dollars)
UnemployPercent unemployed
InequalA measure of inequality that compares the wealth of the richest 10% to the poorest 10%
HealthPublic expenditure on health (as a percent of GDP)
PhysNumber of physicians per 100,000 people
CO2Carbon dioxide emissions (per capita, in metric tons)
ParliaThe percentage of seats in parliament held by women.
FemEconFemale economic activity as a percentage of the male rate
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(oecd.data)
summary(oecd.data)
Statewide Crime 2
Description
The data are from Statistical Abstract of the United States and most variables were measured in 1993. Table 9.1 of the 3rd edition, and some appear in Table 9.1 of the 4th edition.
Format
data.frame with 51 observations of the following 8 variables,
StateU.S. State
VRviolent crime rate (per 100,000 people in population)
MRmurder rate (per 100,000 people in population)
Mpercent in metropolitan areas
Wpercent white
Hpercent high school graduates
Ppercent with income below the poverty level
Spercent of families headed by a single parent.
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(statewide.crime.2)
summary(statewide.crime.2)
Student Survey data
Description
This data file consists of responses of graduate students in the social sciences enrolled in STA 6126 in a recent term at the University of Florida.
Format
data.frame with 60 observations of the following 18 variables,
GEgender
AGage in years
HIhigh school GPA (on a four-point scale)
COcollege GPA
DHdistance (in miles) of the campus from your home town
DRdistance (in miles) of the classroom from your current residence
TVaverage number of hours per week that you watch TV
SPaverage number of hours per week that you participate in sports or have other physical exercise
NEnumber of times a week you read a newspaper
AHnumber of people you know who have died from AIDS or who are HIV+
VEwhether you are a vegetarian
PApolitical affiliation (d = Democrat, r = Republican, i = independent)
PIpolitical ideology
REhow often you attend religious services
ABopinion about whether abortion should be legal in the first three months of pregnancy
AAsupport affirmative action
LDbelief in life after death
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(student.survey)
summary(student.survey)
U.S. Population Size Data
Description
US population size by decade. Table 14.8 of 4th edition.
Format
data.frame with 12 observations of the following 2 variables,
decadeDecade (0=1890, 11=2000)
populationPopulation (millions)
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(us.pop.size)
summary(us.pop.size)
Zagat restraunt rating of Italian Restraunts Data
Description
Zagat restraunt rating of Italian Restraunts Data. Examples 3.59, 3.60, and 9.38 of 4th edition.
Format
data.frame with 193 observations of the following 6 variables,
CityCity
RestaurantRestaurant
FoodFood
DecorDecor
ServiceService
CostCost
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(zagat)
summary(zagat)