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,
HDI
HDI value
Fert
Total Fertility rate (births/woman)
Cont
Contraceptive prevalence rate (%)
Cell
Cellular subscribers (per 1000 people)
Inter
Internet users (per 1000 people)
GDP
GDP per capita (US$)
CO2
Carbon dioxide emissions per capita (metric tons)
Life
Life expectancy at birth, female (years)
Liter
Adult literacy rate (female rate % ages 15 and above)
FemEc
Female 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,
subj
Subject ID
therapy
Therapy type. b = cognitive behavioural, f = family therapy, or c = control.
before
Weight before treatment
after
Weight 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,
B
crude birth rate (number of births per 1000 population size)
W
women's economic activity (female labor force as percent of male)
C
percent women using contraception
LI
female adult literacy rate
LE
female life expectancy
HDI
human development index (which has components referring to life expectancy at birth, educational attainment, and income per capita)
GNP
gross national product (per capita, in thousands of dollars)
N
daily newspaper circulation per 100 people
T
number 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,
STATE
U.S. state
VI
violent crime rate (number of violent crimes per 100,000 population)
VI2
violent crime rate (number of violent crimes per 10,000 population)
MU
murder rate
ME
percent in metropolitan areas
WH
percent white
HS
percent high school graduates
PO
percent 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,
Nation
nation
Fertility
Fertility rate
GDP
GDP 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,
County
county name
C
crime rate
I
median income
HS
percent completing high school
U
percent 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,
case
observation id
Baths
number of bathrooms
New
whether new (1 = yes, 0 = no)
Price
selling price (dollars)
Size
size 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,
P
selling price
Ba
number of bathrooms
New
whether 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,
inc
income (thousands of dollars)
educ
number of years of education (where 12 = high school graduate, 16 = college graduate)
race
racial-ethnic group (b=Black, h=Hispanic, w=White)
z1
racial group (1=black, 0=white)
z2
ethnic 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,
Income
annual income (euros)
n
number of subjects
credit
number 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,
impair
Mental impairment
life
Life events score
ses
Social 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,
nation
Country name
GDP
GDP per capita (in US dollars)
Unemploy
Percent unemployed
Inequal
A measure of inequality that compares the wealth of the richest 10% to the poorest 10%
Health
Public expenditure on health (as a percent of GDP)
Phys
Number of physicians per 100,000 people
CO2
Carbon dioxide emissions (per capita, in metric tons)
Parlia
The percentage of seats in parliament held by women.
FemEcon
Female 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,
State
U.S. State
VR
violent crime rate (per 100,000 people in population)
MR
murder rate (per 100,000 people in population)
M
percent in metropolitan areas
W
percent white
H
percent high school graduates
P
percent with income below the poverty level
S
percent 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,
GE
gender
AG
age in years
HI
high school GPA (on a four-point scale)
CO
college GPA
DH
distance (in miles) of the campus from your home town
DR
distance (in miles) of the classroom from your current residence
TV
average number of hours per week that you watch TV
SP
average number of hours per week that you participate in sports or have other physical exercise
NE
number of times a week you read a newspaper
AH
number of people you know who have died from AIDS or who are HIV+
VE
whether you are a vegetarian
PA
political affiliation (d = Democrat, r = Republican, i = independent)
PI
political ideology
RE
how often you attend religious services
AB
opinion about whether abortion should be legal in the first three months of pregnancy
AA
support affirmative action
LD
belief 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,
decade
Decade (0=1890, 11=2000)
population
Population (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,
City
City
Restaurant
Restaurant
Food
Food
Decor
Decor
Service
Service
Cost
Cost
Source
http://www.stat.ufl.edu/~aa/social/data.html
Examples
data(zagat)
summary(zagat)