American Math Society Survey Data

Description

Counts of new PhDs in the mathematical sciences for 2008-09 and 2011-12 categorized by type of institution, gender, and US citizenship status.

Usage

AMSsurvey

Format

A data frame with 24 observations on the following 5 variables.

type

a factor with levels I(Pu) for group I public universities, I(Pr) for group I private universities, II and III for groups II and III, IV for statistics and biostatistics programs, and Va for applied mathemeatics programs.

sex

a factor with levels Female, Male of the recipient

citizen

a factor with levels Non-US, US giving citizenship status

count

The number of individuals of each type in 2008-09

count11

The number of individuals of each type in 2011-12

Details

These data are produced yearly by the American Math Society.

Source

From the now defunct http://www.ams.org/employment/surveyreports.html Supplementary Table 4 in the 2008-09 data. See http://www.ams.org/profession/data/annual-survey/docsgrtd for more recent data.

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Phipps, Polly, Maxwell, James W. and Rose, Colleen (2009), 2009 Annual Survey of the Mathematical Sciences, 57, 250–259, Supplementary Table 4, orginally downloaded from http://www.ams.org/employment/2009Survey-First-Report-Supp-Table4.pdf

Experimenter Expectations

Description

The Adler data frame has 108 rows and 3 columns.

The “experimenters” were the actual subjects of the study. They collected ratings of the apparent success of people in pictures who were pre-selected for their average appearance of success. The experimenters were told prior to collecting data that particular subjects were either high or low in their tendency to rate appearance of success, and were instructed to get good data, scientific data, or were given no such instruction. Each experimenter collected ratings from 18 randomly assigned subjects. This version of the Adler data is taken from Erickson and Nosanchuk (1977). The data described in the original source, Adler (1973), have a more complex structure.

Usage

Adler

Format

This data frame contains the following columns:

instruction

a factor with levels: good, good data; none, no stress; scientific, scientific data.

expectation

a factor with levels: high, expect high ratings; low, expect low ratings.

rating

The average rating obtained.

Source

Erickson, B. H., and Nosanchuk, T. A. (1977) Understanding Data. McGraw-Hill Ryerson.

References

Adler, N. E. (1973) Impact of prior sets given experimenters and subjects on the experimenter expectancy effect. Sociometry 36, 113–126.

Moral Integration of American Cities

Description

The Angell data frame has 43 rows and 4 columns. The observations are 43 U. S. cities around 1950.

Usage

Angell

Format

This data frame contains the following columns:

moral

Moral Integration: Composite of crime rate and welfare expenditures.

hetero

Ethnic Heterogenity: From percentages of nonwhite and foreign-born white residents.

mobility

Geographic Mobility: From percentages of residents moving into and out of the city.

region

A factor with levels: E Northeast; MW Midwest; S Southeast; W West.

Source

Angell, R. C. (1951) The moral integration of American Cities. American Journal of Sociology 57 (part 2), 1–140.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

U. S. State Public-School Expenditures

Description

The Anscombe data frame has 51 rows and 4 columns. The observations are the U. S. states plus Washington, D. C. in 1970.

Usage

Anscombe

Format

This data frame contains the following columns:

education

Per-capita education expenditures, dollars.

income

Per-capita income, dollars.

young

Proportion under 18, per 1000.

urban

Proportion urban, per 1000.

Source

Anscombe, F. J. (1981) Computing in Statistical Science Through APL. Springer-Verlag.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Arrests for Marijuana Possession

Description

Data on police treatment of individuals arrested in Toronto for simple possession of small quantities of marijuana. The data are part of a larger data set featured in a series of articles in the Toronto Star newspaper.

Usage

Arrests

Format

A data frame with 5226 observations on the following 8 variables.

released

Whether or not the arrestee was released with a summons; a factor with levels: No; Yes.

colour

The arrestee's race; a factor with levels: Black; White.

year

1997 through 2002; a numeric vector.

age

in years; a numeric vector.

sex

a factor with levels: Female; Male.

employed

a factor with levels: No; Yes.

citizen

a factor with levels: No; Yes.

checks

Number of police data bases (of previous arrests, previous convictions, parole status, etc. – 6 in all) on which the arrestee's name appeared; a numeric vector

Source

Personal communication from Michael Friendly, York University.

Examples

  summary(Arrests)

British Election Panel Study

Description

These data are drawn from the 1997-2001 British Election Panel Study (BEPS).

Usage

BEPS

Format

A data frame with 1525 observations on the following 10 variables.

vote

Party choice: Conservative, Labour, or Liberal Democrat

age

in years

economic.cond.national

Assessment of current national economic conditions, 1 to 5.

economic.cond.household

Assessment of current household economic conditions, 1 to 5.

Blair

Assessment of the Labour leader, 1 to 5.

Hague

Assessment of the Conservative leader, 1 to 5.

Kennedy

Assessment of the leader of the Liberal Democrats, 1 to 5.

Europe

an 11-point scale that measures respondents' attitudes toward European integration. High scores represent ‘Eurosceptic’ sentiment.

political.knowledge

Knowledge of parties' positions on European integration, 0 to 3.

gender

female or male.

References

J. Fox and R. Andersen (2006) Effect displays for multinomial and proportional-odds logit models. Sociological Methodology 36, 225–255.

Examples

summary(BEPS)

Methods of Teaching Reading Comprehension

Description

The Baumann data frame has 66 rows and 6 columns. The data are from an experimental study conducted by Baumann and Jones, as reported by Moore and McCabe (1993) Students were randomly assigned to one of three experimental groups.

Usage

Baumann

Format

This data frame contains the following columns:

group

Experimental group; a factor with levels: Basal, traditional method of teaching; DRTA, an innovative method; Strat, another innovative method.

pretest.1

First pretest.

pretest.2

Second pretest.

post.test.1

First post-test.

post.test.2

Second post-test.

post.test.3

Third post-test.

Source

Moore, D. S. and McCabe, G. P. (1993) Introduction to the Practice of Statistics, Second Edition. Freeman, p. 794–795.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Canadian Women's Labour-Force Participation

Description

The Bfox data frame has 30 rows and 7 columns. Time-series data on Canadian women's labor-force participation, 1946–1975.

Usage

Bfox

Format

This data frame contains the following columns:

partic

Percent of adult women in the workforce.

tfr

Total fertility rate: expected births to a cohort of 1000 women at current age-specific fertility rates.

menwage

Men's average weekly wages, in constant 1935 dollars and adjusted for current tax rates.

womwage

Women's average weekly wages.

debt

Per-capita consumer debt, in constant dollars.

parttime

Percent of the active workforce working 34 hours per week or less.

Warning

The value of tfr for 1973 is misrecorded as 2931; it should be 1931.

Source

Fox, B. (1980) Women's Domestic Labour and their Involvement in Wage Work. Unpublished doctoral dissertation, p. 449.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Exercise Histories of Eating-Disordered and Control Subjects

Description

The Blackmore data frame has 945 rows and 4 columns. Blackmore and Davis's data on exercise histories of 138 teenaged girls hospitalized for eating disorders and 98 control subjects.

Usage

Blackmore

Format

This data frame contains the following columns:

subject

a factor with subject id codes. There are several observations for each subject, but because the girls were hospitalized at different ages, the number of cases and the age at the last case vary.

age

subject's age in years at the time of observation; all but the last observation for each subject were collected retrospectively at intervals of two years, starting at age 8.

exercise

the amount of exercise in which the subject engaged, expressed as estimated hours per week.

group

a factor with levels: control, Control subjects; patient, Eating-disordered patients.

Source

Personal communication from Elizabeth Blackmore and Caroline Davis, York University.

Fraudulent Data on IQs of Twins Raised Apart

Description

The Burt data frame has 27 rows and 4 columns. The “data” were simply (and notoriously) manufactured. The same data are in the dataset “twins" in the alr3 package, but with different labels.

Usage

Burt

Format

This data frame contains the following columns:

IQbio

IQ of twin raised by biological parents

IQfoster

IQ of twin raised by foster parents

class

A factor with levels (note: out of order): high; low; medium.

Source

Burt, C. (1966) The genetic determination of differences in intelligence: A study of monozygotic twins reared together and apart. British Journal of Psychology 57, 137–153.

2011 Canadian National Election Study, With Attitude Toward Abortion

Description

Data are drawn from the 2011 Canadian National Election Study, including a question on banning abortion and variables related to the sampling design.

Usage

data("CES11")

Format

A data frame with 2231 observations on the following 9 variables.

id

Household ID number.

province

a factor with (alphabetical) levels AB, BC, MB, NB, NL, NS, ON, PE, QC, SK; the sample was stratified by province.

population

population of the respondent's province, number over age 17.

weight

weight sample to size of population, taking into account unequal sampling probabilities by province and household size.

gender

a factor with levels Female, Male.

abortion

attitude toward abortion, a factor with levels No, Yes; answer to the question "Should abortion be banned?"

importance

importance of religion, a factor with (alphabetical) levels not, notvery, somewhat, very; answer to the question, "In your life, would you say that religion is very important, somewhat important, not very important, or not important at all?"

education

a factor with (alphabetical) levels bachelors (Bachelors degree), college (community college or technical school), higher (graduate degree), HS (high-school graduate), lessHS (less than high-school graduate), somePS (some post-secondary).

urban

place of residence, a factor with levels rural, urban.

Details

This is an extract from the data set for the 2011 Canadian National Election Study distributed by the Institute for Social Research, York University.

References

Fournier, P., Cutler, F., Soroka, S., and Stolle, D. (2013). Canadian Election Study 2011: Study documentation. Technical report, Canadian Opinion Research Archive, Queen's University, Kingson,Ontario.

Northrup, D. (2012). The 2011 Canadian Election Survey: Technical documention. Technical report, Institute for Social Research, York University, Toronto, Ontario.

Examples

summary(CES11)

Canadian Population Data

Description

The CanPop data frame has 16 rows and 2 columns. Decennial time-series of Canadian population, 1851–2001.

Usage

CanPop

Format

This data frame contains the following columns:

year

census year.

population

Population, in millions

Source

Urquhart, M. C. and Buckley, K. A. H. (Eds.) (1965) Historical Statistics of Canada. Macmillan, p. 1369.

Canada (1994) Canada Year Book. Statistics Canada, Table 3.2.

Statistics Canada: from the now defunct http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-PR.cfm.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Voting Intentions in the 1988 Chilean Plebiscite

Description

The Chile data frame has 2700 rows and 8 columns. The data are from a national survey conducted in April and May of 1988 by FLACSO/Chile. There are some missing data.

Usage

Chile

Format

This data frame contains the following columns:

region

A factor with levels: C, Central; M, Metropolitan Santiago area; N, North; S, South; SA, city of Santiago.

population

Population size of respondent's community.

sex

A factor with levels: F, female; M, male.

age

in years.

education

A factor with levels (note: out of order): P, Primary; PS, Post-secondary; S, Secondary.

income

Monthly income, in Pesos.

statusquo

Scale of support for the status-quo.

vote

a factor with levels: A, will abstain; N, will vote no (against Pinochet); U, undecided; Y, will vote yes (for Pinochet).

Source

Personal communication from FLACSO/Chile.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

The 1907 Romanian Peasant Rebellion

Description

The Chirot data frame has 32 rows and 5 columns. The observations are counties in Romania.

Usage

Chirot

Format

This data frame contains the following columns:

intensity

Intensity of the rebellion

commerce

Commercialization of agriculture

tradition

Traditionalism

midpeasant

Strength of middle peasantry

inequality

Inequality of land tenure

Source

Chirot, D. and C. Ragin (1975) The market, tradition and peasant rebellion: The case of Romania. American Sociological Review 40, 428–444 [Table 1].

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Cowles and Davis's Data on Volunteering

Description

The Cowles data frame has 1421 rows and 4 columns. These data come from a study of the personality determinants of volunteering for psychological research.

Usage

Cowles

Format

This data frame contains the following columns:

neuroticism

scale from Eysenck personality inventory

extraversion

scale from Eysenck personality inventory

sex

a factor with levels: female; male

volunteer

volunteeing, a factor with levels: no; yes

Source

Cowles, M. and C. Davis (1987) The subject matter of psychology: Volunteers. British Journal of Social Psychology 26, 97–102.

Self-Reports of Height and Weight

Description

The Davis data frame has 200 rows and 5 columns. The subjects were men and women engaged in regular exercise. There are some missing data.

Usage

Davis

Format

This data frame contains the following columns:

sex

A factor with levels: F, female; M, male.

weight

Measured weight in kg.

height

Measured height in cm.

repwt

Reported weight in kg.

repht

Reported height in cm.

Source

Personal communication from C. Davis, Departments of Physical Education and Psychology, York University.

References

Davis, C. (1990) Body image and weight preoccupation: A comparison between exercising and non-exercising women. Appetite, 15, 13–21.

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Davis's Data on Drive for Thinness

Description

The DavisThin data frame has 191 rows and 7 columns. This is part of a larger dataset for a study of eating disorders. The seven variables in the data frame comprise a "drive for thinness" scale, to be formed by summing the items.

Usage

DavisThin

Format

This data frame contains the following columns:

DT1

a numeric vector

DT2

a numeric vector

DT3

a numeric vector

DT4

a numeric vector

DT5

a numeric vector

DT6

a numeric vector

DT7

a numeric vector

Source

Davis, C., G. Claridge, and D. Cerullo (1997) Personality factors predisposing to weight preoccupation: A continuum approach to the association between eating disorders and personality disorders. Journal of Psychiatric Research 31, 467–480. [personal communication from the authors.]

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Minnesota Wolf Depredation Data

Description

Wolf depredations of livestock on Minnesota farms, 1976-1998.

Usage

Depredations

Format

A data frame with 434 observations on the following 5 variables.

longitude

longitude of the farm

latitude

latitude of the farm

number

number of depredations 1976-1998

early

number of depredations 1991 or before

late

number of depredations 1992 or later

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Harper, Elizabeth K. and Paul, William J. and Mech, L. David and Weisberg, Sanford (2008), Effectiveness of Lethal, Directed Wolf-Depredation Control in Minnesota, Journal of Wildlife Management, 72, 3, 778-784. doi: 10.2193/2007-273

Duncan's Occupational Prestige Data

Description

The Duncan data frame has 45 rows and 4 columns. Data on the prestige and other characteristics of 45 U. S. occupations in 1950.

Usage

Duncan

Format

This data frame contains the following columns:

type

Type of occupation. A factor with the following levels: prof, professional and managerial; wc, white-collar; bc, blue-collar.

income

Percentage of occupational incumbents in the 1950 US Census who earned $3,500 or more per year (about $36,000 in 2017 US dollars).

education

Percentage of occupational incumbents in 1950 who were high school graduates (which, were we cynical, we would say is roughly equivalent to a PhD in 2017)

prestige

Percentage of respondents in a social survey who rated the occupation as “good” or better in prestige

Source

Duncan, O. D. (1961) A socioeconomic index for all occupations. In Reiss, A. J., Jr. (Ed.) Occupations and Social Status. Free Press [Table VI-1].

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

The 1980 U.S. Census Undercount

Description

The Ericksen data frame has 66 rows and 9 columns. The observations are 16 large cities, the remaining parts of the states in which these cities are located, and the other U. S. states.

Usage

Ericksen

Format

This data frame contains the following columns:

minority

Percentage black or Hispanic.

crime

Rate of serious crimes per 1000 population.

poverty

Percentage poor.

language

Percentage having difficulty speaking or writing English.

highschool

Percentage age 25 or older who had not finished highschool.

housing

Percentage of housing in small, multiunit buildings.

city

A factor with levels: city, major city; state, state or state-remainder.

conventional

Percentage of households counted by conventional personal enumeration.

undercount

Preliminary estimate of percentage undercount.

Source

Ericksen, E. P., Kadane, J. B. and Tukey, J. W. (1989) Adjusting the 1980 Census of Population and Housing. Journal of the American Statistical Association 84, 927–944 [Tables 7 and 8].

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Florida County Voting

Description

The Florida data frame has 67 rows and 11 columns. Vote by county in Florida for President in the 2000 election.

Usage

Florida

Format

This data frame contains the following columns:

GORE

Number of votes for Gore

BUSH

Number of votes for Bush.

BUCHANAN

Number of votes for Buchanan.

NADER

Number of votes for Nader.

BROWNE

Number of votes for Browne (whoever that is).

HAGELIN

Number of votes for Hagelin (whoever that is).

HARRIS

Number of votes for Harris (whoever that is).

MCREYNOLDS

Number of votes for McReynolds (whoever that is).

MOOREHEAD

Number of votes for Moorehead (whoever that is).

PHILLIPS

Number of votes for Phillips (whoever that is).

Total

Total number of votes.

Source

Adams, G. D. and Fastnow, C. F. (2000) A note on the voting irregularities in Palm Beach, FL. Formerly at ‘⁠http://madison.hss.cmu.edu/⁠’, but no longer available there.

Crowding and Crime in U. S. Metropolitan Areas

Description

The Freedman data frame has 110 rows and 4 columns. The observations are U. S. metropolitan areas with 1968 populations of 250,000 or more. There are some missing data.

Usage

Freedman

Format

This data frame contains the following columns:

population

Total 1968 population, 1000s.

nonwhite

Percent nonwhite population, 1960.

density

Population per square mile, 1968.

crime

Crime rate per 100,000, 1969.

Source

United States (1970) Statistical Abstract of the United States. Bureau of the Census.

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Freedman, J. (1975) Crowding and Behavior. Viking.

Format Effects on Recall

Description

The Friendly data frame has 30 rows and 2 columns. The data are from an experiment on subjects' ability to remember words based on the presentation format.

Usage

Friendly

Format

This data frame contains the following columns:

condition

A factor with levels: Before, Recalled words presented before others; Meshed, Recalled words meshed with others; SFR, Standard free recall.

correct

Number of words correctly recalled, out of 40 on final trial of the experiment.

Source

Friendly, M. and Franklin, P. (1980) Interactive presentation in multitrial free recall. Memory and Cognition 8 265–270 [Personal communication from M. Friendly].

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago.

Description

This data set illustrates analyis of a multifactor observational study, with response given by subject's score on a vocabulary test, and factors for age group, education level, natality status, gender and year of the survey.

Usage

data("GSSvocab")

Format

A data frame with 28867 observations on the following 8 variables.

year

a factor with levels 1978 1982 1984 1987 1988 1989 1990 1991 1993 1994 1996 1998 2000 2004 2006 2008 2010 2012 2014 2016. Data are included from the GSS for each of these years.

gender

a factor with levels female male

nativeBorn

Was the respondent born in the US? A factor with levels no and yes.

ageGroup

a factor with levels 18-29 30-39 40-49 50-59 60+, grouped age of the respondent.

educGroup

a factor with levels <12 yrs 12 yrs 13-15 yrs 16 yrs >16 yrs, grouped education level of the respondent. 12 years corresponds to high school graduate, 16 years to college graduate.

vocab

Number of words out of 10 correct on a vocabulary test

age

age of the respondent in years

educ

years of education of the respondent

Details

This file includes the years of the GSS for which the vocab and nativeBorn items were included.

Source

These data were collected from the GSS data explorer https://gssdataexplorer.norc.org, using the data fields year, id_, age, educ, sex, born and wordsum. The GSS began in 1972, and has included several thousand data items, some regularly and some only once, on topics of interest to social scientists. Data have been slightly edited to change entires like No answer and Not applicable to missing value codes.

Examples

data(GSSvocab)

Data on Depression

Description

The Ginzberg data frame has 82 rows and 6 columns. The data are for psychiatric patients hospitalized for depression.

Usage

Ginzberg

Format

This data frame contains the following columns:

simplicity

Measures subject's need to see the world in black and white.

fatalism

Fatalism scale.

depression

Beck self-report depression scale.

adjsimp

Adjusted Simplicity: Simplicity adjusted (by regression) for other variables thought to influence depression.

adjfatal

Adjusted Fatalism.

adjdep

Adjusted Depression.

Source

Personal communication from Georges Monette, Department of Mathematics and Statistics, York University, with the permission of the original investigator.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Refugee Appeals

Description

The Greene data frame has 384 rows and 7 columns. These are cases filed in 1990, in which refugee claimants rejected by the Canadian Immigration and Refugee Board asked the Federal Court of Appeal for leave to appeal the negative ruling of the Board.

Usage

Greene

Format

This data frame contains the following columns:

judge

Name of judge hearing case. A factor with levels: Desjardins, Heald, Hugessen, Iacobucci, MacGuigan, Mahoney, Marceau, Pratte, Stone, Urie.

nation

Nation of origin of claimant. A factor with levels: Argentina, Bulgaria, China, Czechoslovakia, El.Salvador, Fiji, Ghana, Guatemala, India, Iran, Lebanon, Nicaragua, Nigeria, Pakistan, Poland, Somalia, Sri.Lanka.

rater

Judgment of independent rater. A factor with levels: no, case has no merit; yes, case has some merit (leave to appeal should be granted).

decision

Judge's decision. A factor with levels: no, leave to appeal not granted; yes, leave to appeal granted.

language

Language of case. A factor with levels: English, French.

location

Location of original refugee claim. A factor with levels: Montreal, other, Toronto.

success

Logit of success rate, for all cases from the applicant's nation.

Source

Personal communication from Ian Greene, Department of Political Science, York University.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Anonymity and Cooperation

Description

The Guyer data frame has 20 rows and 3 columns. The data are from an experiment in which four-person groups played a prisoner's dilemma game for 30 trails, each person making either a cooperative or competitive choice on each trial. Choices were made either anonymously or in public; groups were composed either of females or of males. The observations are 20 groups.

Usage

Guyer

Format

This data frame contains the following columns:

cooperation

Number of cooperative choices (out of 120 in all).

condition

A factor with levels: anonymous, Anonymous choice; public, Public choice.

sex

Sex. A factor with levels: female and male.

Source

Fox, J. and Guyer, M. (1978) Public choice and cooperation in n-person prisoner's dilemma. Journal of Conflict Resolution 22, 469–481.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2013) An R Companion to Applied Regression, Third Edition, Sage.

Canadian Crime-Rates Time Series

Description

The Hartnagel data frame has 38 rows and 7 columns. The data are an annual time-series from 1931 to 1968. There are some missing data.

Usage

Hartnagel

Format

This data frame contains the following columns:

year

1931–1968.

tfr

Total fertility rate per 1000 women.

partic

Women's labor-force participation rate per 1000.

degrees

Women's post-secondary degree rate per 10,000.

fconvict

Female indictable-offense conviction rate per 100,000.

ftheft

Female theft conviction rate per 100,000.

mconvict

Male indictable-offense conviction rate per 100,000.

mtheft

Male theft conviction rate per 100,000.

Details

The post-1948 crime rates have been adjusted to account for a difference in method of recording. Some of your results will differ in the last decimal place from those in Table 14.1 of Fox (1997) due to rounding of the data. Missing values for 1950 were interpolated.

Source

Personal communication from T. Hartnagel, Department of Sociology, University of Alberta.

References

Fox, J., and Hartnagel, T. F (1979) Changing social roles and female crime in Canada: A time series analysis. Canadian Review of Sociology and Anthroplogy, 16, 96–104.

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Highway Accidents

Description

The data comes from a unpublished master's paper by Carl Hoffstedt. They relate the automobile accident rate, in accidents per million vehicle miles to several potential terms. The data include 39 sections of large highways in the state of Minnesota in 1973. The goal of this analysis was to understand the impact of design variables, Acpts, Slim, Sig, and Shld that are under the control of the highway department, on accidents.

Usage

Highway1

Format

This data frame contains the following columns:

rate

1973 accident rate per million vehicle miles

len

length of the Highway1 segment in miles

adt

average daily traffic count in thousands

trks

truck volume as a percent of the total volume

sigs1

(number of signalized interchanges per mile times len + 1)/len, the number of signals per mile of roadway, adjusted to have no zero values.

slim

speed limit in 1973

shld

width in feet of outer shoulder on the roadway

lane

total number of lanes of traffic

acpt

number of access points per mile

itg

number of freeway-type interchanges per mile

lwid

lane width, in feet

htype

An indicator of the type of roadway or the source of funding for the road, either MC, FAI, PA, or MA

Source

Carl Hoffstedt. This differs from the dataset Highway in the alr4 package only by addition of transformation of some of the columns.

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Weisberg, S. (2014) Applied Linear Regression, Fourth Edition, Wiley, Section 7.2.

Treatment of Migraine Headaches

Description

Subset of data on migraine treatments collected by Tammy Kostecki-Dillon.

Usage

KosteckiDillon

Format

A data frame with 4152 observations on 133 subjects for the following 9 variables.

id

Patient id.

time

time in days relative to the onset of treatment, which occurs at time 0.

dos

time in days from the start of the study, January 1 of the first year of the study.

hatype

a factor with levels Aura Mixed No Aura, the type of migraine experienced by a subject.

age

at onset of treatment, in years.

airq

a measure of air quality.

medication

a factor with levels none reduced continuing, representing subjects who discontinued their medication, who continued but at a reduced dose, or who continued at the previous dose.

headache

a factor with levels no yes.

sex

a factor with levels female male.

Details

The data consist of headache logs kept by 133 patients in a treatment program in which bio-feedback was used to attempt to reduce migraine frequency and severity. Patients entered the program at different times over a period of about 3 years. Patients were encouraged to begin their logs four weeks before the onset of treatment and to continue for one month afterwards, but only 55 patients have data preceding the onset of treatment.

Source

Personal communication from Georges Monette (and adapted from his description of the data).

References

Kostecki-Dillon, T., Monette, G., and Wong, P. (1999). Pine trees, comas, and migraines. York University Institute for Social Research Newsletter, 14:2.

Examples

summary(KosteckiDillon)

Data on Infant-Mortality

Description

The Leinhardt data frame has 105 rows and 4 columns. The observations are nations of the world around 1970.

Usage

Leinhardt

Format

This data frame contains the following columns:

income

Per-capita income in U. S. dollars.

infant

Infant-mortality rate per 1000 live births.

region

A factor with levels: Africa; Americas; Asia, Asia and Oceania; Europe.

oil

Oil-exporting country. A factor with levels: no, yes.

Details

The infant-mortality rate for Jamaica is misprinted in Leinhardt and Wasserman; the correct value is given here. Some of the values given in Leinhardt and Wasserman do not appear in the original New York Times table and are of dubious validity.

Source

Leinhardt, S. and Wasserman, S. S. (1979) Exploratory data analysis: An introduction to selected methods. In Schuessler, K. (Ed.) Sociological Methodology 1979 Jossey-Bass.

The New York Times, 28 September 1975, p. E-3, Table 3.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Cancer drug data use to provide an example of the use of the skew power distributions.

Description

A portion of an experiment to determine the limit of blank/limit of detection in a biochemical assay.

Usage

LoBD

Format

A data frame with 84 observations on the following 9 variables.

pool

a factor with levels 1 2 3 4 5 6 7 8 9 10 11 12 denoting the 12 pools used in the experiment; each pool had a different level of drug.

I1L1

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I1L2

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I2L1

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I2L2

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I3L1

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I3L2

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I4L1

a numeric vector giving the measured concentration in pmol/L of drug in the assay

I4L2

a numeric vector giving the measured concentration in pmol/L of drug in the assay

Details

Important characteristics of a clinical chemistry assay are its limit of blank (LoB), and its limit of detection (LoD). The LoB, conceptually the highest reading likely to be obtained from a zero-concentration sample, is defined operationally by the upper 95% point of readings obtained from samples that do not contain the analyte. The LoD, conceptually the lowest level of analyte that can be reliably determined not to be blank, is defined operationally as true value at which there is a 95% chance of the reading being above the LoB.

These data are from a portion of a LoB/D study of an assay for a drug used to treat certain cancers. Twelve pools were used, four of them blanks of different types, and eight with successively increasing drug levels. The 8 columns of the data set refer to measurements made using different instruments I and reagent lots L.

Source

Used as an illustrative application for Box-Cox type transformations with negative values in Hawkins and Weisberg (2015). For examples of its use, see bcnPower.

References

Hawkins, D. and Weisberg, S. (2015) Combining the Box-Cox Power and Generalized Log Transformations to Accommodate Negative Responses, submitted for publication.

Examples

LoBD

Contrived Collinear Data

Description

The Mandel data frame has 8 rows and 3 columns.

Usage

Mandel

Format

This data frame contains the following columns:

x1

first predictor.

x2

second predictor.

y

response.

Source

Mandel, J. (1982) Use of the singular value decomposition in regression analysis. The American Statistician 36, 15–24.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Canadian Interprovincial Migration Data

Description

The Migration data frame has 90 rows and 8 columns.

Usage

Migration

Format

This data frame contains the following columns:

source

Province of origin (source). A factor with levels: ALTA, Alberta; BC, British Columbia; MAN, Manitoba; NB, New Brunswick; NFLD, New Foundland; NS, Nova Scotia; ONT, Ontario; PEI, Prince Edward Island; QUE, Quebec; SASK, Saskatchewan.

destination

Province of destination (1971 residence). A factor with levels: ALTA, Alberta; BC, British Columbia; MAN, Manitoba; NB, New Brunswick; NFLD, New Foundland; NS, Nova Scotia; ONT, Ontario; PEI, Prince Edward Island; QUE, Quebec; SASK, Saskatchewan.

migrants

Number of migrants (from source to destination) in the period 1966–1971.

distance

Distance (between principal cities of provinces): NFLD, St. John; PEI, Charlottetown; NS, Halifax; NB, Fredricton; QUE, Montreal; ONT, Toronto; MAN, Winnipeg; SASK, Regina; ALTA, Edmonton; BC, Vancouver.

pops66

1966 population of source province.

pops71

1971 population of source province.

popd66

1966 population of destination province.

popd71

1971 population of destination province.

Details

There is one record in the data file for each migration stream. You can average the 1966 and 1971 population figures for each of the source and destination provinces.

Source

Canada (1962) Map. Department of Mines and Technical Surveys.

Canada (1971) Census of Canada. Statistics Canada, Vol. 1, Part 2 [Table 32].

Canada (1972) Canada Year Book. Statistics Canada [p. 1369].

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Status, Authoritarianism, and Conformity

Description

The Moore data frame has 45 rows and 4 columns. The data are for subjects in a social-psychological experiment, who were faced with manipulated disagreement from a partner of either of low or high status. The subjects could either conform to the partner's judgment or stick with their own judgment.

Usage

Moore

Format

This data frame contains the following columns:

partner.status

Partner's status. A factor with levels: high, low.

conformity

Number of conforming responses in 40 critical trials.

fcategory

F-Scale Categorized. A factor with levels (note levels out of order): high, low, medium.

fscore

Authoritarianism: F-Scale score.

Source

Moore, J. C., Jr. and Krupat, E. (1971) Relationship between source status, authoritarianism and conformity in a social setting. Sociometry 34, 122–134.

Personal communication from J. Moore, Department of Sociology, York University.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Minneapolis Demographic Data 2015, by Neighborhood

Description

Minneapolis Demographic Data 2015, by Neighborhood, from the 2015 American Community Survey

Format

A data frame with 84 observations on the following 7 variables.

neighborhood

name of the neighborhood

population

total population

black

fraction of the population estimated to be black

white

fraction of the population estimated to be white

foreignBorn

fraction of the population estimated to be foreign born

hhIncome

estimated median household income

poverty

estimated fraction earning less than twice the poverty level

collegeGrad

estimated fraction with a college degree

Details

The data frame MplsStops contains 2017 Minneapolis Police stop data, using the same neighborhood names as this data file.

Source

http://www.mncompass.org/profiles/neighborhoods/minneapolis-saint-paul#!community-areas

Examples

str(MplsDemo)

Minneapolis Police Department 2017 Stop Data

Description

Results of nearly all stops made by the Minneapolis Police Department for the year 2017.

Format

A data frame with 51857 observations on the following 14 variables.

idNum

character vector of incident identifiers

date

a POSIXlt date variable giving the date and time of the stop

problem

a factor with levels suspicious for suspicious vehicle or person stops and traffic for traffic stops

citationIssued

a factor with levels no yes indicating if a citation was issued

personSearch

a factor with levels no yes indicating if the stopped person was searched

vehicleSearch

a factor with levels no or yes indicating if a vehicle was searched

preRace

a factor with levels white, black, east african, latino, native american, asian, other, unknown for the officer's assessment of race of the person stopped before speaking with the person stopped

race

a factor with levels white, black, east african, latino, native american, asian, other, unknown, officer's determination of race after the incident

gender

a factor with levels female, male, unknown, gender of person stopped

lat

latitude of the location of the incident, somewhat rounded

long

latitude of the location of the incident, somewhat rounded

policePrecinct

Minneapolis Police Precinct number

neighborhood

a factor with 84 levels giving the name of the Minneapolis neighborhood of the incident

MDC

a factor with levels mdc for data collected via in-vehicle computer, and other for data submitted by officers not in a vehicle, either on foot, bicycle or horseback. Several of the variables above were recorded only in-vehicle

Details

A few stops have been deleted, either because thesu location data was missing, or a few very rare categories were also removed. The data frame MplsDemo contains 2015 demongraphic data on Minneapolis neighborhoods, using the same neighborhood names as this data file. Demographics are available for 84 of Minneaolis' 87 neighborhoods. The remaining 3 presumably have no housing.

Source

These are public data obtained from <http://opendata.minneapolismn.gov/datasets/police-stop-data>. A few more fields, and more data, are available at the original source

Examples

summary(MplsStops)

U.S. Women's Labor-Force Participation

Description

The Mroz data frame has 753 rows and 8 columns. The observations, from the Panel Study of Income Dynamics (PSID), are married women.

Usage

Mroz

Format

This data frame contains the following columns:

lfp

labor-force participation; a factor with levels: no; yes.

k5

number of children 5 years old or younger.

k618

number of children 6 to 18 years old.

age

in years.

wc

wife's college attendance; a factor with levels: no; yes.

hc

husband's college attendance; a factor with levels: no; yes.

lwg

log expected wage rate; for women in the labor force, the actual wage rate; for women not in the labor force, an imputed value based on the regression of lwg on the other variables.

inc

family income exclusive of wife's income.

Source

Mroz, T. A. (1987) The sensitivity of an empirical model of married women's hours of work to economic and statistical assumptions. Econometrica 55, 765–799.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. (2000) Multiple and Generalized Nonparametric Regression. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Long. J. S. (1997) Regression Models for Categorical and Limited Dependent Variables. Sage.

O'Brien and Kaiser's Repeated-Measures Data

Description

These contrived repeated-measures data are taken from O'Brien and Kaiser (1985). The data are from an imaginary study in which 16 female and male subjects, who are divided into three treatments, are measured at a pretest, postest, and a follow-up session; during each session, they are measured at five occasions at intervals of one hour. The design, therefore, has two between-subject and two within-subject factors.

The contrasts for the treatment factor are set to -2, 1, 1 and 0, -1, 1. The contrasts for the gender factor are set to contr.sum.

Usage

OBrienKaiser

Format

A data frame with 16 observations on the following 17 variables.

treatment

a factor with levels control A B

gender

a factor with levels F M

pre.1

pretest, hour 1

pre.2

pretest, hour 2

pre.3

pretest, hour 3

pre.4

pretest, hour 4

pre.5

pretest, hour 5

post.1

posttest, hour 1

post.2

posttest, hour 2

post.3

posttest, hour 3

post.4

posttest, hour 4

post.5

posttest, hour 5

fup.1

follow-up, hour 1

fup.2

follow-up, hour 2

fup.3

follow-up, hour 3

fup.4

follow-up, hour 4

fup.5

follow-up, hour 5

Source

O'Brien, R. G., and Kaiser, M. K. (1985) MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333, Table 7.

Examples

OBrienKaiser
contrasts(OBrienKaiser$treatment)
contrasts(OBrienKaiser$gender)

O'Brien and Kaiser's Repeated-Measures Data in "Long" Format

Description

Contrived repeated-measures data from O'Brien and Kaiser (1985). For details see OBrienKaiser, which is for the "wide" form of the same data.

Usage

OBrienKaiserLong

Format

A data frame with 240 observations on the following 6 variables.

treatment

a between-subjects factor with levels control, A, B.

gender

a between-subjects factor with levels F, M.

score

the numeric response variable.

id

the subject id number.

phase

a within-subjects factor with levels pre, post, fup.

hour

a within-subjects factor with levels 1, 2, 3, 4, 5.

Source

O'Brien, R. G., and Kaiser, M. K. (1985) MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333, Table 7.

See Also

OBrienKaiser.

Examples

head(OBrienKaiserLong, 15) # first subject

Interlocking Directorates Among Major Canadian Firms

Description

The Ornstein data frame has 248 rows and 4 columns. The observations are the 248 largest Canadian firms with publicly available information in the mid-1970s. The names of the firms were not available.

Usage

Ornstein

Format

This data frame contains the following columns:

assets

Assets in millions of dollars.

sector

Industrial sector. A factor with levels: AGR, agriculture, food, light industry; BNK, banking; CON, construction; FIN, other financial; HLD, holding companies; MAN, heavy manufacturing; MER, merchandizing; MIN, mining, metals, etc.; TRN, transport; WOD, wood and paper.

nation

Nation of control. A factor with levels: CAN, Canada; OTH, other foreign; UK, Britain; US, United States.

interlocks

Number of interlocking director and executive positions shared with other major firms.

Source

Ornstein, M. (1976) The boards and executives of the largest Canadian corporations. Canadian Journal of Sociology 1, 411–437.

Personal communication from M. Ornstein, Department of Sociology, York University.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Chemical Composition of Pottery

Description

The data give the chemical composition of ancient pottery found at four sites in Great Britain. They appear in Hand, et al. (1994), and are used to illustrate MANOVA in the SAS Manual. (Suggested by Michael Friendly.)

Usage

Pottery

Format

A data frame with 26 observations on the following 6 variables.

Site

a factor with levels AshleyRails Caldicot IsleThorns Llanedyrn

Al

Aluminum

Fe

Iron

Mg

Magnesium

Ca

Calcium

Na

Sodium

Source

Hand, D. J., Daly, F., Lunn, A. D., McConway, K. J., and E., O. (1994) A Handbook of Small Data Sets. Chapman and Hall.

Examples

Pottery

Prestige of Canadian Occupations

Description

The Prestige data frame has 102 rows and 6 columns. The observations are occupations.

Usage

Prestige

Format

This data frame contains the following columns:

education

Average education of occupational incumbents, years, in 1971.

income

Average income of incumbents, dollars, in 1971.

women

Percentage of incumbents who are women.

prestige

Pineo-Porter prestige score for occupation, from a social survey conducted in the mid-1960s.

census

Canadian Census occupational code.

type

Type of occupation. A factor with levels (note: out of order): bc, Blue Collar; prof, Professional, Managerial, and Technical; wc, White Collar.

Source

Canada (1971) Census of Canada. Vol. 3, Part 6. Statistics Canada [pp. 19-1–19-21].

Personal communication from B. Blishen, W. Carroll, and C. Moore, Departments of Sociology, York University and University of Victoria.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Four Regression Datasets

Description

The Quartet data frame has 11 rows and 5 columns. These are contrived data.

Usage

Quartet

Format

This data frame contains the following columns:

x

X-values for datasets 1–3.

y1

Y-values for dataset 1.

y2

Y-values for dataset 2.

y3

Y-values for dataset 3.

x4

X-values for dataset 4.

y4

Y-values for dataset 4.

Source

Anscombe, F. J. (1973) Graphs in statistical analysis. American Statistician 27, 17–21.

Fertility and Contraception

Description

The Robey data frame has 50 rows and 3 columns. The observations are developing nations around 1990.

Usage

Robey

Format

This data frame contains the following columns:

region

A factor with levels: Africa; Asia, Asia and Pacific; Latin.Amer, Latin America and Caribbean; Near.East, Near East and North Africa.

tfr

Total fertility rate (children per woman).

contraceptors

Percent of contraceptors among married women of childbearing age.

Source

Robey, B., Shea, M. A., Rutstein, O. and Morris, L. (1992) The reproductive revolution: New survey findings. Population Reports. Technical Report M-11.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Rossi et al.'s Criminal Recidivism Data

Description

This data set is originally from Rossi et al. (1980), and is used as an example in Allison (1995). The data pertain to 432 convicts who were released from Maryland state prisons in the 1970s and who were followed up for one year after release. Half the released convicts were assigned at random to an experimental treatment in which they were given financial aid; half did not receive aid.

Usage

Rossi

Format

A data frame with 432 observations on the following 62 variables.

week

week of first arrest after release or censoring; all censored observations are censored at 52 weeks.

arrest

1 if arrested, 0 if not arrested.

fin

financial aid: no yes.

age

in years at time of release.

race

black or other.

wexp

full-time work experience before incarceration: no or yes.

mar

marital status at time of release: married or not married.

paro

released on parole? no or yes.

prio

number of convictions prior to current incarceration.

educ

level of education: 2 = 6th grade or less; 3 = 7th to 9th grade; 4 = 10th to 11th grade; 5 = 12th grade; 6 = some college.

emp1

employment status in the first week after release: no or yes.

emp2

as above.

emp3

as above.

emp4

as above.

emp5

as above.

emp6

as above.

emp7

as above.

emp8

as above.

emp9

as above.

emp10

as above.

emp11

as above.

emp12

as above.

emp13

as above.

emp14

as above.

emp15

as above.

emp16

as above.

emp17

as above.

emp18

as above.

emp19

as above.

emp20

as above.

emp21

as above.

emp22

as above.

emp23

as above.

emp24

as above.

emp25

as above.

emp26

as above.

emp27

as above.

emp28

as above.

emp29

as above.

emp30

as above.

emp31

as above.

emp32

as above.

emp33

as above.

emp34

as above.

emp35

as above.

emp36

as above.

emp37

as above.

emp38

as above.

emp39

as above.

emp40

as above.

emp41

as above.

emp42

as above.

emp43

as above.

emp44

as above.

emp45

as above.

emp46

as above.

emp47

as above.

emp48

as above.

emp49

as above.

emp50

as above.

emp51

as above.

emp52

as above.

Source

Allison, P.D. (1995). Survival Analysis Using the SAS System: A Practical Guide. Cary, NC: SAS Institute.

References

Rossi, P.H., R.A. Berk, and K.J. Lenihan (1980). Money, Work, and Crime: Some Experimental Results. New York: Academic Press.

John Fox, Marilia Sa Carvalho (2012). The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis. Journal of Statistical Software, 49(7), 1-32.

Examples

summary(Rossi)

Survey of Labour and Income Dynamics

Description

The SLID data frame has 7425 rows and 5 columns. The data are from the 1994 wave of the Canadian Survey of Labour and Income Dynamics, for the province of Ontario. There are missing data, particularly for wages.

Usage

SLID

Format

This data frame contains the following columns:

wages

Composite hourly wage rate from all jobs.

education

Number of years of schooling.

age

in years.

sex

A factor with levels: Female, Male.

language

A factor with levels: English, French, Other.

Source

The data are taken from the public-use dataset made available by Statistics Canada, and prepared by the Institute for Social Research, York University.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Agricultural Production in Mazulu Village

Description

The Sahlins data frame has 20 rows and 2 columns. The observations are households in a Central African village.

Usage

Sahlins

Format

This data frame contains the following columns:

consumers

Consumers/Gardener, ratio of consumers to productive individuals.

acres

Acres/Gardener, amount of land cultivated per gardener.

Source

Sahlins, M. (1972) Stone Age Economics. Aldine [Table 3.1].

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Salaries for Professors

Description

The 2008-09 nine-month academic salary for Assistant Professors, Associate Professors and Professors in a college in the U.S. The data were collected as part of the on-going effort of the college's administration to monitor salary differences between male and female faculty members.

Usage

Salaries

Format

A data frame with 397 observations on the following 6 variables.

rank

a factor with levels AssocProf AsstProf Prof

discipline

a factor with levels A (“theoretical” departments) or B (“applied” departments).

yrs.since.phd

years since PhD.

yrs.service

years of service.

sex

a factor with levels Female Male

salary

nine-month salary, in dollars.

References

Fox J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Soil Compositions of Physical and Chemical Characteristics

Description

Soil characteristics were measured on samples from three types of contours (Top, Slope, and Depression) and at four depths (0-10cm, 10-30cm, 30-60cm, and 60-90cm). The area was divided into 4 blocks, in a randomized block design. (Suggested by Michael Friendly.)

Usage

Soils

Format

A data frame with 48 observations on the following 14 variables. There are 3 factors and 9 response variables.

Group

a factor with 12 levels, corresponding to the combinations of Contour and Depth

Contour

a factor with 3 levels: Depression Slope Top

Depth

a factor with 4 levels: 0-10 10-30 30-60 60-90

Gp

a factor with 12 levels, giving abbreviations for the groups: D0 D1 D3 D6 S0 S1 S3 S6 T0 T1 T3 T6

Block

a factor with levels 1 2 3 4

pH

soil pH

N

total nitrogen in %

Dens

bulk density in gm/cm$^3$

P

total phosphorous in ppm

Ca

calcium in me/100 gm.

Mg

magnesium in me/100 gm.

K

phosphorous in me/100 gm.

Na

sodium in me/100 gm.

Conduc

conductivity

Details

These data provide good examples of MANOVA and canonical discriminant analysis in a somewhat complex multivariate setting. They may be treated as a one-way design (ignoring Block), by using either Group or Gp as the factor, or a two-way randomized block design using Block, Contour and Depth (quantitative, so orthogonal polynomial contrasts are useful).

Source

Horton, I. F.,Russell, J. S., and Moore, A. W. (1968) Multivariate-covariance and canonical analysis: A method for selecting the most effective discriminators in a multivariate situation. Biometrics 24, 845–858. Originally from ‘⁠http://www.stat.lsu.edu/faculty/moser/exst7037/soils.sas⁠’ but no longer available there.

References

Khattree, R., and Naik, D. N. (2000) Multivariate Data Reduction and Discrimination with SAS Software. SAS Institute.

Friendly, M. (2006) Data ellipses, HE plots and reduced-rank displays for multivariate linear models: SAS software and examples. Journal of Statistical Software, 17(6), doi: 10.18637/jss.v017.i06.

Education and Related Statistics for the U.S. States

Description

The States data frame has 51 rows and 8 columns. The observations are the U. S. states and Washington, D. C.

Usage

States

Format

This data frame contains the following columns:

region

U. S. Census regions. A factor with levels: ENC, East North Central; ESC, East South Central; MA, Mid-Atlantic; MTN, Mountain; NE, New England; PAC, Pacific; SA, South Atlantic; WNC, West North Central; WSC, West South Central.

pop

Population: in 1,000s.

SATV

Average score of graduating high-school students in the state on the verbal component of the Scholastic Aptitude Test (a standard university admission exam).

SATM

Average score of graduating high-school students in the state on the math component of the Scholastic Aptitude Test.

percent

Percentage of graduating high-school students in the state who took the SAT exam.

dollars

State spending on public education, in \$1000s per student.

pay

Average teacher's salary in the state, in $1000s.

Source

United States (1992) Statistical Abstract of the United States. Bureau of the Census.

References

Moore, D. (1995) The Basic Practice of Statistics. Freeman, Table 2.1.

Survival of Passengers on the Titanic

Description

Information on the survival status, sex, age, and passenger class of 1309 passengers in the Titanic disaster of 1912.

Usage

TitanicSurvival

Format

A data frame with 1309 observations on the following 4 variables.

survived

no or yes.

sex

female or male

age

in years (and for some children, fractions of a year); age is missing for 263 of the passengers.

passengerClass

1st, 2nd, or 3rd class.

Details

This is part of a larger data set compiled by Thomas Cason. Many additional details are given in the sources cited below.

Source

Data set titanic3 from the now defunct http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DataSets.

References

https://www.encyclopedia-titanica.org/

F. E. Harrell, Jr. (2001) Regression Modeling Strategies New York: Springer.

Examples

summary(TitanicSurvival)

Transaction data

Description

Data on transaction times in branch offices of a large Australian bank.

Usage

Transact

Format

This data frame contains the following columns:

t1

number of type 1 transactions

t2

number of type 2 transactions

time

total transaction time, minutes

Source

Cunningham, R. and Heathcote, C. (1989), Estimating a non-Gaussian regression model with multicollinearity. Australian Journal of Statistics, 31,12-17.

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Weisberg, S. (2014) Applied Linear Regression, Fourth Edition, Wiley, Section 4.6.1.

National Statistics from the United Nations, Mostly From 2009–2011

Description

National health, welfare, and education statistics for 213 places, mostly UN members, but also other areas like Hong Kong that are not independent countries.

Usage

data(UN)

Format

A data frame with 213 rows on the following 7 variables.

region

Region of the world: Africa, Asia, Caribbean, Europe, Latin Amer, North America, NorthAtlantic, Oceania.

group

A factor with levels oecd for countries that are members of the OECD, the Organization for Economic Co-operation and Development, as of May 2012, africa for countries on the African continent, and other for all other countries. No OECD countries are located in Africa.

fertility

Total fertility rate, number of children per woman.

ppgdp

Per capita gross domestic product in US dollars.

lifeExpF

Female life expectancy, years.

pctUrban

Percent urban.

infantMortality

Infant deaths by age 1 year per 1000 live births

Note

Similar data, from the period 2000-2003, appear in the alr3 package under the name UN3. This data set was formerly named UNlla and replaces the older dataset named UN.

Source

All data were collected from UN tables accessed at http://unstats.un.org/unsd/demographic/products/socind/ on April 23, 2012. OECD membership is from https://www.oecd.org/, accessed May 25, 2012.

References

Weisberg, S. (2014). Applied Linear Regression, 4th edition. Hoboken NJ: Wiley.

Examples

summary(UN)

United Nations Social Indicators Data 1998]

Description

Social indicators data on 207 nations distributed by the United Nations circa 1998.

Usage

data("UN98")

Format

A data frame with 207 observations on the following 13 variables.

region

a factor with alphabetical levels Africa, America, Asia, Europe, Oceania.

tfr

total fertility rate, number of children per woman.

contraception

percentage of married women using any method of contraception.

educationMale

average number of years of education for men.

educationFemale

average number of years of education for women.

lifeMale

expectation of life at birth for males.

lifeFemale

expectation of life at birth for females.

infantMortality

infant deaths per 1000 live births.

GDPperCapita

gross domestic product per person in U.S. dollars.

economicActivityMale

percentage of men who are economically active.

economicActivityFemale

percentage of women who are economically active.

illiteracyMale

percentage of males 15 years of age and older who are illiterate.

illiteracyFemale

percentage of females 15 years of age and older who are illiterate.

Details

In a few cases where the percentages of males and females 15 and older who are illiterate were unavailable, these variables were filled in by regression imputation from the corresponding percentages 25 and older who are illiterate.

Source

Downloaded from http://www.un.org/Depts/unsd/social/main.htm in 1998.

Examples

summary(UN98)

Population of the United States

Description

The USPop data frame has 22 rows and 1 columns. This is a decennial time-series, from 1790 to 2000.

Usage

USPop

Format

This data frame contains the following columns:

year

census year.

population

Population in millions.

Source

U.S.~Census Bureau: https://www.census-charts.com/Population/pop-us-1790-2000.html, downloaded 1 May 2008.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Vocabulary and Education

Description

The Vocab data frame has 30,351 rows and 4 columns. The observations are respondents to U.S. General Social Surveys, 1972-2016.

Usage

Vocab

Format

This data frame contains the following columns:

year

Year of the survey.

sex

Sex of the respondent, Female or Male.

education

Education, in years.

vocabulary

Vocabulary test score: number correct on a 10-word test.

Source

National Opinion Research Center General Social Survey. GSS Cumulative Datafile 1972-2016, downloaded from http://gss.norc.org/.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

World Values Surveys

Description

Data from the World Values Surveys 1995-1997 for Australia, Norway, Sweden, and the United States.

Usage

WVS

Format

A data frame with 5381 observations on the following 6 variables.

poverty

“Do you think that what the government is doing for people in poverty in this country is about the right amount, too much, or too little?” (ordered): Too Little, About Right, Too Much

.

religion

Member of a religion: no or yes.

degree

Held a university degree: no or yes.

country

Australia, Norway, Sweden, or USA.

age

in years.

gender

male or female.

References

J. Fox and R. Andersen (2006) Effect displays for multinomial and proportional-odds logit models. Sociological Methodology 36, 225–255.

Examples

summary(WVS)

Weight Loss Data

Description

Contrived data on weight loss and self esteem over three months, for three groups of individuals: Control, Diet and Diet + Exercise. The data constitute a double-multivariate design.

Usage

WeightLoss

Format

A data frame with 34 observations on the following 7 variables.

group

a factor with levels Control Diet DietEx.

wl1

Weight loss at 1 month

wl2

Weight loss at 2 months

wl3

Weight loss at 3 months

se1

Self esteem at 1 month

se2

Self esteem at 2 months

se3

Self esteem at 3 months

Details

Helmert contrasts are assigned to group, comparing Control vs. (Diet DietEx) and Diet vs. DietEx.

Source

Originally taken from http://www.csun.edu/~ata20315/psy524/main.htm, but modified slightly. Courtesy of Michael Friendly.

Well Switching in Bangladesh

Description

Data on whether or not households in Bangladesh changed the wells that they were using.

Usage

Wells

Format

A data frame with 3020 observations on the following 5 variables.

switch

whether or not the household switched to another well from an unsafe well: no or yes.

arsenic

the level of arsenic contamination in the household's original well, in hundreds of micrograms per liter; all are above 0.5, which was the level identified as “safe”.

distance

in meters to the closest known safe well.

education

in years of the head of the household.

association

whether or not any members of the household participated in any community organizations: no or yes.

Details

The data are for an area of Arahazar upazila, Bangladesh. The researchers labelled each well with its level of arsenic and an indication of whether the well was “safe” or “unsafe.” Those using unsafe wells were encouraged to switch. After several years, it was determined whether each household using an unsafe well had changed its well. These data are used by Gelman and Hill (2007) for a logistic-regression example.

Source

http://www.stat.columbia.edu/~gelman/arm/examples/arsenic/wells.dat.

References

A. Gelman and J. Hill (2007) Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press.

Examples

summary(Wells)

Canadian Women's Labour-Force Participation

Description

The Womenlf data frame has 263 rows and 4 columns. The data are from a 1977 survey of the Canadian population.

Usage

Womenlf

Format

This data frame contains the following columns:

partic

Labour-Force Participation. A factor with levels (note: out of order): fulltime, Working full-time; not.work, Not working outside the home; parttime, Working part-time.

hincome

Husband's income, $1000s.

children

Presence of children in the household. A factor with levels: absent, present.

region

A factor with levels: Atlantic, Atlantic Canada; BC, British Columbia; Ontario; Prairie, Prairie provinces; Quebec.

Source

Social Change in Canada Project. York Institute for Social Research.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Post-Coma Recovery of IQ

Description

The Wong data frame has 331 row and 7 columns. The observations are longitudinal data on recovery of IQ after comas of varying duration for 200 subjects.

Usage

Wong

Format

This data frame contains the following columns:

id

patient ID number.

days

number of days post coma at which IQs were measured.

duration

duration of the coma in days.

sex

a factor with levels Female and Male.

age

in years at the time of injury.

piq

performance (i.e., mathematical) IQ.

viq

verbal IQ.

Details

The data are from Wong, Monette, and Weiner (2001) and are for 200 patients who sustained traumatic brain injuries resulting in comas of varying duration. After awakening from their comas, patients were periodically administered a standard IQ test, but the average number of measurements per patient is small (331/200 = 1.7).

Source

Wong, P. P., Monette, G., and Weiner, N. I. (2001) Mathematical models of cognitive recovery. Brain Injury, 15, 519–530.

References

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Examples

summary(Wong)

Wool data

Description

This is a three-factor experiment with each factor at three levels, for a total of 27 runs. Samples of worsted yarn were with different levels of the three factors were given a cyclic load until the sample failed. The goal is to understand how cycles to failure depends on the factors.

Usage

Wool

Format

This data frame contains the following columns:

len

length of specimen (250, 300, 350 mm)

amp

amplitude of loading cycle (8, 9, 10 min)

load

load (40, 45, 50g)

cycles

number of cycles until failure

Source

Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations (with discussion). J. Royal Statist. Soc., B26, 211-46.

References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.

Weisberg, S. (2014) Applied Linear Regression, Fourth Edition, Wiley, Section 6.3.