Package 'MLGdata'

Description

Data on the weight loss due to abrasion, hardness and tensile strength for 30 samples of rubber.

Usage

Abrasion

Format

A data frame with 30 observations on the following 3 variables

perdita

weight loss (in grams per hour)

D

hardness (in degrees Shore)

Re

tensile strength (in kg/cm$^2$)

Source

Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J., Ostrowski, E. (1994). Small Data Sets. London Chapman and Hall/CRC.

Description

Number of AIDS deaths in a sequence of three-months periods between 1983 and 1986.

Usage

Aids

Format

Data frame with 14 observations on the following 2 variables

cases

number of deaths

periodo

number of period

Source

Dobson, A.J. (1990). An Introduction to Generalized Linear Models. London: CRC Press.

Description

Alligator food choice data

Usage

Alligators

Format

A data frame with 40 rows and 4 variables:

foodchoice

primary food type, in volume, found in an alligator’s stomach, with levels fish, invertebrate, reptile, bird, other

lake

lake of capture with levels Hancock, Oklawaha, Trafford, George

size

size of the alligator with levels <=2.3 meters long and >2.3 meters long

Freq

number of alligators for each foodchoice, lake, gender and size combination

Source

The alligators data set is analysed in Agresti (2002, Subsection 7.1.2).

This is an edited version of the original data set, which is available at http://www.stat.ufl.edu/~aa/glm/data/

References

Agresti, A. (2002). Categorical Data Analysis. New York: Wiley.

Description

The dataset refers to an experiment carried out by some students of an Australian university.

Usage

Ants

Format

Data frame with 48 observations on the following 5 variables

Bread

integer indicator for the kind of bread (1=rye, 2=wheatmeal, 3=multigrain, 4=white)

Filling

integer indicator for the kind of filling (1=vegemite, 2=peanut butter, 3=ham and pickles)

Butter

indicator for butter (1=butter, -1=no butter)

Ant_count

number of captured ants

Order

order of the experiment

Source

Mackisack, M. (2017). What is the use of experiments conducted by Statistics students? Journal of Statistics Education, 2, 12-15.

Description

The data refers to the number of business that have closed their activity in the first trimester of 2005 in 16 Italian regions.

Usage

Aziende

Format

Data frame with 16 observations on the following 4 variables

regione

integer indicator for the region

numero

number of closed businesses

dimensione

average dimension of the businesses

salario

average individual salary

Source

Salvan, A., Sartori, N., Pace, L. (2020). Modelli lineari generalizzati. Milano: Springer-Verlag.

Description

In an experiment to investigate the effect of cutting length (two levels) and planting time (two levels) on the survival of plum root cuttings, 240 cuttings were planted for each of the 2 x 2 combinations of these factors, and their survival was later recorded.

Usage

Bartlett

Format

A 3-dimensional array resulting from cross-tabulating 3 variables for 960 observations. The variable names and their levels are:

Source

Hand, D. and Daly, F. and Lunn, A. D.and McConway, K. J. and Ostrowski, E. (1994). A Handbook of Small Data Sets. London: Chapman & Hall, p. 15, # 19.

Package vcdExtra

References

Bartlett, M. S. (1935). Contingency Table Interactions Journal of the Royal Statistical Society, Supplement, 1935, 2, 248-252.

See Also

Bartlett2 for the same data in data frame format

Description

In an experiment to investigate the effect of cutting length (two levels) and planting time (two levels) on the survival of plum root cuttings, 240 cuttings were planted for each of the 2 x 2 combinations of these factors, and their survival was later recorded.

Usage

Bartlett2

Format

A data frame with 4 rows and 4 columns related to the cross-classification of 960 observations. The variables are:

Alive

number of plum root cuttings survived

Dead

number of plum root cuttings dead

Time

factor w/ 2 levels (Now, Spring)

Length

factor w/ 2 levels (Long, Short)

Source

Hand, D. and Daly, F. and Lunn, A. D.and McConway, K. J. and Ostrowski, E. (1994). A Handbook of Small Data Sets. London: Chapman & Hall, p. 15, # 19.

References

Bartlett, M. S. (1935). Contingency Table Interactions Journal of the Royal Statistical Society, Supplement, 1935, 2, 248-252.

See Also

Bartlett for the same data in table format

Description

Number of adult flour beetles which died following a 5-hour exposure to gaseous carbon disulphide.

Usage

Beetles

Format

A data frame with 8 observations on the following 3 variables

num

numbers of beetles exposed

uccisi

numbers of beetles dying

logdose

concentration of carbon disulphide (mg. per litre) in logarithmic scale

Source

Bliss, C. I. (1935).The calculation of the dosage-mortality curve. Annals of Applied BIology, 22, 134-167.

See Also

Beetles10 for an ungrouped version of this data

Description

Survival adult flour beetles which died following a 5-hour exposure to gaseous carbon disulphide.

Usage

Beetles10

Format

A data frame with 481 observations on the following 2 variables

log.dose10

concentration of carbon disulphide (mg. per litre) in logarithmic scale

ucciso

indicator variable of death (0: survived, 1: dead)

Source

Bliss, C. I. (1935).The calculation of the dosage-mortality curve. Annals of Applied BIology, 22, 134-167.

See Also

Beetles for a grouped version of these data

Description

Number of events observed in a biological experiment with different dose exposure.

Usage

Bioassay

Format

A data frame with 10 observations on the following 3 variables

z

dose level

den

number of exposed

y

number of observed events

Source

Finney, D.J. (1947). Probit Analysis. Cambridge: Cambridge University Press.

Description

A sample of 915 biochemistry graduate students.

Usage

Biochemists

Format

Data frame with 915 observations on the following 6 variables

art

count of articles produced during last 3 years of Ph.D.

fem

factor indicating gender of student, with levels Men and Women

mar

factor indicating marital status of student, with levels Single and Married

kid5

number of children aged 5 or younger

phd

prestige of Ph.D. department

ment

count of articles produced by Ph.D. mentor during last 3 years

Source

Package pscl

References

Long, J. Scott. 1990. The origins of sex differences in science. Social Forces. 68(3):1297-1316.

Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, California: Sage.

Description

Study on coronary deaths involving British doctors.

Usage

Britishdoc

Format

A data frame with 10 observations on the following 4 variables

age

factor with 5 levels (35-44, 45-54, 55-64, 65-74, 75-84)

smoke

factor with 2 levels (n, y)

person.years

total number of observed person-years

deaths

number of observed deaths by coronary disease

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

Description

Data on the uptake of calcium by cells suspended in a radioactive solution, as a function of time.

Format

A data frame with 27 observations on the following 2 variables

time

The time (in minutes) that the cells were suspended in the solution

cal

The amount of calcium uptake (nmoles/mg)

Details

Howard Grimes from the Botany Department, North Carolina State University, conducted an experiment for biochemical analysis of intracellular storage and transport of calcium across plasma membrane. Cells were suspended in a solution of radioactive calcium for a certain length of time and then the amount of radioactive calcium that was absorbed by the cells was measured. The experiment was repeated independently with 9 different times of suspension each replicated 3 times.

Source

Rawlings, J.O. (1988) Applied Regression Analysis. Wadsworth and Brooks/Cole Statistics/Probability Series.

Package SMPracticals

References

Davison, A. C. (2003) Statistical Models. Cambridge University Press. Page 469.

Description

Experiment where different batches of cement were tested for tensile strength after different curing times.

Usage

Cement

Format

An object of class data.frame with 21 rows and 2 columns.

Details

tempo

curing times (in days)

resistenza

tensile strength (kg/cm$^2$)

Source

Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J., Ostrowski, E. (1994). Small Data Sets. London Chapman and Hall/CRC.

Description

These are the times in minutes taken for four chimpanzees to learn each of four words.

Format

A data frame with 40 observations on the following 3 variables

chimp

a factor with levels 1-4

word

a factor with 1-10

y

learning time (minutes)

Source

Brown, B. W. and Hollander, M. (1977) Statistics: A Biomedical Introduction. New York: Wiley.

Package SMPracticals

References

Davison, A. C. (2003) Statistical Models. Cambridge University Press. Page 485.

Description

Bioassay on the action of the herbicide chlorsulfuron on the callus area of colonies of Brassica napus L. The experiment consists of 51 measurements for 10 different dose levels. The design is unbalanced: the number of replicates per dose varies from a minimum of 5 to a maximum of 8.

Usage

Chlorsulfuron

Format

A data frame with 51 observations on the following 3 variables

gruppo

indicator variable for each tested dose

dose

the tested dose (nmol/l)

area

the callus area (mm^2)

Source

Package nlreg

Seiden, P., Kappel, D. e Streibig, J.C. (1998). Response of Brassica napus L. tissue culture to metsulfuron methyl and chlorsulfuron. Weed Research, 38, 221-228.

Description

Mean blood clotting times in seconds for nine percentage concentrations of normal plasma and two lots of clotting agent.

Usage

Clotting

Format

Data frame with 18 observations on the following 3 variables

u

plasma concentration (in precentage)

tempo

clotting time (in seconds)

lotto

lot (factor with two levels: uno, due)

Source

McCullagh, P. and Nelder, J. A. (1989) Generalized Linear Models (2nd Edition). London: Chapman and Hall.

Description

Data for 1000 clients of a south german bank, 700 good payers and 300 bad payers. They are used to construct a credit scoring method.

Format

Data frame with 1000 observations on the following 8 variables

Y

a factor with levels buen mal, the response variable. buen is the good payers.

Cuenta

a factor with levels no good running bad running, quality of the credit clients bank account.

Mes

a numeric vector, duration of loan in months.

Ppag

a factor with levels pre buen pagador pre mal pagador, if the client previosly have been a good or bad payer.

Uso

a factor with levels privado profesional, the use to which the loan is made.

DM

a numeric vector, the size of loan in german marks.

Sexo

a factor with levels mujer hombre, sex of the client.

Estc

a factor with levels no vive solo vive solo, civil state of the client.

Source

Fahrmeier, L. and Tutz, G. (2001) Multivariate Generalized Linear Models. New York: Springer Verlag.

Package Fahrmeir

Description

Survey on the customer satisfaction among passengers of a certain bus line.

Usage

Customer

Format

A data frame with 12231 observations on the following 2 variables

y

level of satisfaction, factor with 5 levels (Neutral, Satisfied, Unsatisfied, Very satisfied, Very unsatisfied)

delay

bus delay (in minutes)

Source

Madsen, H. e Thyregod, P. (2010). Introduction to General and Generalized Linear Models. Boca Raton, CRC Press.

See Also

Customer3 for the same data in table format

Description

Survey on the customer satisfaction among passengers of a certain bus line.

Usage

Customer3

Format

The data are stored as a frequency table. Data frame with 4 observations on the following 6 variables

delay

bus delay (in minutes)

Verydissatisfied

frequency of "Very dissatisfied" replies to the survey

Dissatisfied

frequency of "Dissatisfied" replies to the survey

Neutral

frequency of "Neutral" replies to the survey

Satisfied

frequency of "Satisfied" replies to the survey

Verysatisfied

frequency of "Very satisfied" replies to the survey

Source

Madsen, H. e Thyregod, P. (2010). Introduction to General and Generalized Linear Models. Boca Raton, CRC Press.

See Also

Customer for the individual level data

Description

Measurements of left ventricular volume and parallel conductance volume on five dogs under eight different load conditions

Usage

Dogs

Format

Data frame with 40 observations on the following 4 variables

dog

dog number

condition

load condition

y

left ventricular volume

x

parallel conductance volume

Source

Package dobson

Dobson, A. J. and Barnett A. (2008). An Introduction to Generalized Linear Models, 3rd ed. Boca Raton: CRC Press.

References

Boltwood, C. M., R. Appleyard, and S. A. Glantz (1989). Left ventricular volume measurement by conductance catheter in intact dogs: the parallel conductance volume increases with end-systolic volume. Circulation 80, 1360–1377.

Description

Survey on alcohol, cigarettes, or marijuana use collected on 2276 students in their final year of high school in a rural area near Dayton, Ohio.

Usage

Drugs

Format

A data frame with 8 observations on the following 4 variables

alc

alcohol use, factor with 2 levels (no, yes)

sig

sigarettes use, factor with 2 levels (no, yes)

mar

marijuana use, factor with 2 levels (no, yes)

count

frequency of students in the cross classification of the previous three variables

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

See Also

Drugs2 for a different format of the same data and Drugs3 for an extended version of the data with additional variables.

Description

Survey on alcohol, cigarettes, or marijuana use made on 2276 students in their final year of high school in a rural area near Dayton, Ohio.

Usage

Drugs2

Format

A data frame with 4 observations on the following 5 variables

alc

alcohol use, factor with 2 levels (no, yes)

sig

sigarettes use, factor with 2 levels (no, yes)

M_yes

frequency of students that have tried marijuana

M_no

frequency of students that have never tried marijuana

n

frequency of students in the cross classification of variables alc and sig

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

See Also

Drugs for a different format of the same data and Drugs3 for an extended version of the data with additional variables.

Description

Survey on alcohol, cigarettes, or marijuana use made on 2276 students in their final year of high school in a rural area near Dayton, Ohio.

Usage

Drugs3

Format

A data frame with 32 observations on the following 6 variables

alcohol

alcohol use, factor with 2 levels (no, yes)

cigarette

cigarettes use, factor with 2 levels (no, yes)

marijuana

marijuana use, factor with 2 levels (no, yes)

gender

factor with 2 levels (Female, Male)

race

factor with 2 levels (Other, White)

Freq

frequency of students in the cross classification of the previous five variables

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

See Also

Drugs and Drugs2 for a reduced version of this data, with fewer variables, in two different formats.

Description

Survey on the effect of recreational activities on university performance collected on 485 students.

Usage

Esito

Format

A data frame with 18 observations on the following 4 variables

freq

frequency of students in the in the cross classification of the following three variables

sex

factor with 2 levels (f, m)

ore

weekly hours of recreational activities, factor with 3 levels (m10, less than 10 hours; m15, between 10 and 15 hours; m20, more than 15 hours)

voto

university performance in a given exam, factor with 3 levels (ins, not sufficient; suff, sufficient; buono, good)

Source

Salvan, A., Sartori, N., Pace, L. (2020). Modelli lineari generalizzati. Milano: Springer-Verlag.

Description

Factorial experiment on the germination of two different kind of seeds (Orobanche aegyptiaca 75 and Orobanche aegyptiaca 73) in two different experimental conditions (bean or cucumber root).

Usage

Germination

Format

Data frame with 21 observations in the following 4 variables

s

number of germinated seeds

m

total number of seeds

seed

seed indicator, factor with 2 levels (073, 075)

root

root indicator, factor with 2 levels (C, F)

Source

Cox, D.R. e Snell, E.J. (1989). Analysis of Binary Data, 2nd ed. London: Chapman & Hall/CRC.

Description

Data on diagnosed heart attacks in a sample of 360 patients hospitalized with suspected heart attack.

Usage

Heart

Format

Data frame with 13 observations and the following 4 variables

mck

central value of the class of Creatinine kinase level in variable ck

ck

class of Creatinine kinase level (in IU per litre), factor with 13 levels (Below 40, 40-80, ..., 480 and over)

ha

number of patients with diagnosed heart attack

nha

number of patients without heart attack

Source

Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J., Ostrowski, E. (1994). Small Data Sets. London Chapman and Hall/CRC.

Description

Survey on number of victims of murder known in the past year by race.

Usage

Homicide

Format

A data frame with 1308 observations on the following 2 variables

race

indicator of self-identified race (0, white; 1, black)

count

number of known victims of murder in the last year

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

http://www.stat.ufl.edu/~aa/glm/data

Description

Study that relates the survival of infants to length of gestation, age and smoking habit of mothers.

Usage

Infant

Format

A data frame with 16 observations on the following 5 variables

survival

survival of the infant, factor with 2 levels (No, Yes)

gestation

length of gestation (in days), factor with 2 levels (<=260, >260)

smoking

number of cigarettes per day smoked by the mother, factor with 2 levels (<5, >5)

age

age of the mother (in years), factor with 2 levels (<30, >30)

Freq

frequency of infant in the cross classification of the previous 4 variables

Source

Agresti, A. (2013). Categorical Data Analysis, 3rd ed. New York: Wiley.

Description

Data on children who have had corrective spinal surgery.

Usage

Kyphosis

Format

Data frame with 81 observations on the following 4 variables

Kyphosis

a factor with levels absent present indicating if a kyphosis (a type of deformation) was present after the operation.

Age

in months

Number

the number of vertebrae involved

Start

the number of the first (topmost) vertebra operated on.

Source

Hastie, T.J. and Tibshirani, R.J. (1990). Generalized Additive Models. London: Chapman & Hall/CRC.

Description

The dataset contains information on 8204 individuals enrolled in concurrent school and community cross-sectional surveys, conducted in 46 school clusters in the western Kenyan highlands. Malaria was assessed by rapid diagnostic test (RDT).

Usage

Malaria

Format

The data frame has 8204 observations on the following variables

Cluster

unique ID for each of the 46 school clusters

Long

longitude coordinate of the household location

Lat

latitude coordinate of the household location

RDT

binary variable indicating the outcome of the RDT (1, positive; 0, negative)

Gender

factor variable indicating the gender of the sampled individual (Female, Male)

Age

age of the sampled individual (in years)

NetUse

binary variable indicating whether the sampled individual slept under a bed net the previous night (1, yes; 0, no)

MosqCntl

binary variable indicating whether the household has used some kind of mosquito control, such as sprays and coils (1, yes; 0, no)

IRS

binary variables in indicating whether there has been indoor residual spraying (IRS) in the house in the last 12 months (1, yes; 0, no)

Travel

binary variable indicating whether the sampled individual has travelled outside the village in the last three months (1, yes; 0, no)

SES

ordinal variable indicating the socio-economic status (SES) of the household. The variable is an integer score from 1 (poor) to 5 (rich)

District

factor variable indicating the village of the sampled individual (Kisii Central, Rachuonyo)

Survey

factor variables indicating the survey in which the participant was enrolled (community, school)

Source

https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxtYmdnbG9iYWxoZWFsdGh8Z3g6NjZhNzc4YzdkOWViNTRjNw

References

Stevenson, J.C., Stresman, G.H., Gitonga, C.W., Gillig, J., Owaga, C., Marube, E., Odongo, W., Okoth, A., China, P., Oriango, R. e Brooker, S.J. (2013). Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands. PLoS One, 8, e77641.

Description

Study of mental health for a random sample of adult residents of Alachua County, Florida.

Usage

Mental

Format

Data frame with 40 observations in the following 3 variables

menom

mental health status on an ordinal scale (1, well; 2, mild symptom formation; 3, moderate symptom formation; 4, impaired)

sse

Socioeconomic status (1, high; 0, low)

eventi

life events index, a composite measure of the number and severity of important life events that occurred to the subject within the past 3 years, such as the birth of a child, a new job, a divorce, or a death in the family

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

Description

Data on the weight at birth, the duration of the gestation, and the smoke habit of the mother for 32 newborns.

Usage

Neonati

Format

Data frame with 32 observations on the following 3 variables

peso

weigth at birth (in grams)

durata

duration of gestation (in weeks)

fumo

a factor with levels F (smoker), NF (non smoker)

Source

Daniel, W.W. (1999). Biostatistics: A Foundation for Analysis in the Health Sciences. New York: Wiley.

Description

The dataset is a subset of the six-city study, a longitudinal study of the health effects of air pollution.

Usage

Ohio

Format

Data frame with 2148 observations on the following 4 variables

resp

an indicator of wheeze status (1=yes, 0=no)

id

a numeric vector for subject id

age

a numeric vector of age, 0 is 9 years old

smoke

an indicator of maternal smoking at the first year of the study

Source

Package geepack

References

Fitzmaurice, G.M. and Laird, N.M. (1993) A likelihood-based method for analyzing longitudinal binary responses, Biometrika 80: 141–151.

Halekoh, U., Højsgaard, S. e Yan, J. (2005). The R package geepack for generalized estimating equations. Journal of Statistical Software, 15, 1-11.

Description

Study of the change in an orthdontic measurement over time for 27 young subjects.

Usage

Orthodont

Format

Data frame with 27 observations in the following 5 variables

genere

gender of the subject, factor with 2 levels (F, M)

dist8a

measurement of the orthodontic distance (in mm) at age 8

dist10a

measurement of the orthodontic distance (in mm) at age 10

dist12a

measurement of the orthodontic distance (in mm) at age 12

dist14a

measurement of the orthodontic distance (in mm) at age 14

Source

Pinheiro, J.C. and Bates, D.M. (2000). Mixed Effects Models in S and S-PLUS. New York: Springer.

Package nlme

References

Potthoff, R.F. and Roy, S.N. (1964). A generalized multivariate analysis of variance model useful especially for growth curve problems. Biometrika, 51, 313-326.

See Also

Orthodont1 for the same data in an different format

Description

Study of the change in an orthdontic measurement over time for 27 young subjects.

Usage

Orthodont1

Format

Data frame with 108 observations in the following 4 variables

caso

subject index

genere

gender of the subject, factor with 2 levels (F, M)

eta

age of the subject

y

measurement of the orthodontic distance (in mm)

Source

Pinheiro, J.C. and Bates, D.M. (2000). Mixed Effects Models in S and S-PLUS. New York: Springer.

Package nlme

References

Potthoff, R.F. and Roy, S.N. (1964). A generalized multivariate analysis of variance model useful especially for growth curve problems. Biometrika, 51, 313-326.

See Also

Orthodont for the same data in a different version

Description

This gives the degree of pneumoconiosis (normal, present, or severe) in a group of coalminers as a function of the number of years worked at the coalface. The degree of the disease was assessed radiologically and is qualitative.

Usage

Pneu

Format

A data frame with 8 observations on the following 4 variables

Years

Period of exposure (years worked at the coalface)

Normal

Number of miners with normal lungs

Present

Number of miners with disease present

Severe

Number of miners with severe disease

Source

Ashford, J. R. (1959) An approach to the analysis of data for semi-quantal responses in biological assay. Biometrics, 15, 573–581.

Package SMPracticals

References

Davison, A. C. (2003) Statistical Models. Cambridge University Press. Page 509.

Description

Teratology experiment investigating effects of dietary regimens or chemical agents on the fetal development of rats in a laboratory setting. The experiment, as describred in Agresti (2015, Section 8.2.4), regards female rats on iron-deficient diets, assigned to four groups. Rats in group 1 were given placebo injections, and rats in other groups were given injections of an iron supplement. This was done on days 7 and 10 in group 2, on days 0 and 7 in group 3, and weekly in group 4. The 58 rats were made pregnant, sacrificed after 3 weeks, and then the total number of dead fetuses was counted in each litter, as was the mother’s hemoglobin level.

Usage

Rats

Format

A data frame with 58 observations on the following 5 variables

litter

litter index

group

group index (1, ..., 4)

h

hemoglobin level of the mother

n

number of fetuses in the litter

s

number of dead fetuses in the litter

Source

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Hoboken: Wiley.

Package catdata

References

Moore, D.F. and Tsiatis, A. (1991). Robust estimation of the variance in moment methods for extra-binomial and extra-Poisson variation. Biometrics, 47, 383-401.

Description

This is an artificial dataset representing an experiment relating probability of germination of seeds to the level of fertilizer used.

Usage

Seed

Format

A data frame with 20 observations on the following 2 variables

fert

level of fertilizer used

x

indicator of germination of the seed(1, yes; 0, no)

Source

Salvan, A., Sartori, N., Pace, L. (2020). Modelli lineari generalizzati. Milano: Springer-Verlag.

Description

Data from a report of a survey which investigated whether snoring was related to heart disease. Those surveyed were classified according to the amount they snored, on the basis of reports from their spouses.

Usage

Snore

Format

Data frame with 8 observations on the following 3 variables

pat

presence of heart disease, factor with 2 levels (no, si)

russ

level of snoring, factor with 4 levels (mai, no snoring; a volte, occasional snoring; spesso, snoring nearly every night; sempre, alwayssnoring;)

freq

frequency observed in the cross classification of the previous 2 variables

Source

Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J., Ostrowski, E. (1994). Small Data Sets. London Chapman and Hall/CRC.

Description

Subjects in a 1989 General Social Survey from the National Opinion Research Center in the U.S. were asked their opinions about government spending on the environment (e), health (h), assistance to big cities (c), and law enforcement (l).

Usage

Spending

Format

A data frame with 81 observations on the following 5 variables

e

opinion on spending on the environment (1, too little; 2, about right; 3, too much)

h

opinion on spending on the health (1, too little; 2, about right; 3, too much)

c

opinion on spending on assistance to big cities (1, too little; 2, about right; 3, too much)

l

opinion on spending on law enforcement (1, too little; 2, about right; 3, too much)

count

frequency of subjects in the cross classification of the previous 4 variables

Source

Agresti, A. (2013). Categorical Data Analysis, 3rd ed. New York: Wiley.

http://users.stat.ufl.edu/~aa/cda/data.html

Description

Longitudinal data from an experiment to promote the recovery of stroke patients in wide format. The response variable is the Bartel index with higher scores meaning better outcomes and a maximum score of 100.

Usage

Stroke

Format

A tibble with 24 observations and the following 10 variables

Subject

subject number

Group

group; A=new occupational therapy intervention, B = existing stroke rehabilitation program in the same hospital as A, C = usual care in a different hospital

week1

Bartel index in week 1

week2

Bartel index in week 2

week3

Bartel index in week 3

week4

Bartel index in week 4

week5

Bartel index in week 5

week6

Bartel index in week 6

week7

Bartel index in week 7

week8

Bartel index in week 8

Source

Dobson, A. J. and Barnett A. (2008). An Introduction to Generalized Linear Models, 3-rd ed. Boca Raton: CRC Press.

Package dobson

See Also

Stroke1 for the same data in an extended format.

Description

Longitudinal data from an experiment to promote the recovery of stroke patients in wide format. The response variable is the Bartel index with higher scores meaning better outcomes and a maximum score of 100.

Usage

Stroke1

Format

A data frame with 192 observations on the following 4 variables

Subject

subject indicator

Group

group indicator, factor with 3 levels (A, B, C)

Week

week indicator

y

Bartel index

Source

Dobson, A. J. and Barnett A. (2008). An Introduction to Generalized Linear Models, 3-rd ed. Boca Raton: CRC Press.

See Also

Stroke for the same data in a different format

Description

Admission test for Statistical Sciences bachelor course at University of Padova in 2014/15. The data refers to the answers of 63 candidates to 10 questions on text comprehension.

Usage

Testingresso

Format

A data frame with 630 observations on the following 3 variables

y

indicator variable of correct answer (1, correct; 0, wrong)

subject

candidate indicator (1, ..., 63)

item

question indicator (1, ..., 10)

Source

Salvan, A., Sartori, N., Pace, L. (2020). Modelli lineari generalizzati. Milano: Springer-Verlag.

Description

Data from an insurance company, which record for each contract the kind of vehicle, together with some additional variables.

Usage

Vehicle

Format

A data frame with 2067 observations on the following 4 variables

age

age of the owner

men

gender (1, man; 0, female)

urban

residential area (1, urban; 0, rural)

veh

kind of vehicle, factor with 3 levels (C, car; F, fourwheel; M, motorcycle)

Source

http://www.ub.edu/rfa/R/regression_with_categorical_dependent_variables.html

Guillén, M. (2014). Regression with categorical dependent variables. In Predictive Modeling Applications in Actuarial Science - Volume I: Predictive Modeling Techniques, E.W. Frees, R.A. Derrig and G. Meyers (Eds.) pp. 65-86. Cambridge: Cambridge University Press.

Description

The data show the number of cycles to failure of samples of worsted yarn under cycles of repeated loading. There are three experimental conditions arranged in a 3 x 3 x 3 factorial design.

Usage

Wool

Format

Data frame with 27 observations on the following 4 variables

x1

length of test specimen (-1, 250 mm; 0, 300 mm; 1, 350 mm)

x2

amplitude of loading cycle (-1, 8 mm; 0, 9 mm; 1, 10 mm)

x3

load (-1, 40 g; 0, 45 g; 1, 50 g)

y

cycles to failure

Source

Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J., Ostrowski, E. (1994). Small Data Sets. London Chapman and Hall/CRC.