dobson: Example datasets from the book "An Introduction to Generalised Linear Models" (4th edition)

Description

datasets from our book

Cars data from table 8.1

Description

Preferences for air conditioning and power steering in cars by gender and age.

Usage

data(Cars)

Format

A tibble with 18 observations and the following 4 variables.

sex

sex

age

age group

response

ordinal response

frequency

frequency

References

McFadden, M., J. Powers, W. Brown, and M. Walker (2000). Vehicle and driver attributes affecting distance from the steering wheel in motor vehicles. Human Factors 42, 676–682.

Examples

data(Cars)
summary(Cars)

PLOS Medicine data from figure 6.7

Description

Data from 878 journal articles published in PLOS Medicine between 2011 and 2015

Usage

data(PLOS)

Format

A data.frame with 878 observations and the following 2 variables.

nchar

title length

authors

number of authors, truncated to 30

Examples

data(PLOS)
summary(PLOS)

Achievement data from table 6.15

Description

Achievement scores after three training methods

Usage

data(achievement)

Format

A tibble with 21 observations and the following 3 variables.

method

training method (A, B or C)

y

achievement scores

x

aptitude scores measured before training commenced

References

Winer, B. J. (1971). Statistical Principles in Experimental Design (2nd ed.).

Examples

data(achievement)
summary(achievement)

AIDS data from table 4.5

Description

Numbers of cases of AIDS in Australia by date of diagnosis for successive 3-month periods from 1984 to 1988

Usage

data(aids)

Format

A tibble with 20 observations and the following 3 variables.

year

year

quarter

quarter of year

cases

number of cases

Source

National Centre for HIV Epidemiology and Clinical Research 1994

Examples

data(aids)
summary(aids)

Embryogenic anthers data from table 7.2

Description

Numbers of embryogenic anthers of the plant species Datura innoxia Mill obtained when anthers were prepared under several different conditions

Usage

data(anthers)

Format

A tibble with 6 observations and the following 4 variables.

y

numbers of embryogenic anthers

n

number of anthers

storage

storage condition, control or treatment

centrifuge

centrifuging force (g)

References

Sangwan-Norrell, B. S. (1977). Androgenic stimulating factor in the anther and isolated pollen grain culture of Datura innoxia mill. Journal of Experimental Biology 28, 843–852.

Examples

data(anthers)
summary(anthers)

Balanced data from table 6.12

Description

Fictitious balanced data for a two-factor ANOVA with equal numbers of observations in each subgroup

Usage

data(balanced)

Format

A tibble with 12 observations and the following 3 variables.

factorA

factor A

factorB

factor B

data

dependent data

Examples

data(balanced)
summary(balanced)

Beetle data from table 7.2

Description

Numbers of beetles dead after five hours exposure to gaseous carbon disulphide at various concentrations

Usage

data(beetle)

Format

A tibble with 6 observations and the following 3 variables.

x

dose (log base 10 CS2mgl^-1)

n

number of beetles

y

numbers killed

References

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

Examples

data(beetle)
summary(beetle)

Birthweight data from table 2.3

Description

Birthweight and gestational age for twelve boys and girls

Usage

data(birthweight)

Format

A tibble with 12 observations and the following 4 variables.

boys gestational age

boys gestational age (weeks)

boys weight

boys birthweight (grams)

girls gestational age

girls gestational age (weeks)

girls weight

girls birthweight (grams)

Examples

data(birthweight)
summary(birthweight)

Carbohydrate data from table 6.3

Description

Percentages of total calories obtained from complex carbohydrates, for twenty male insulin-dependent diabetics who had been on a high-carbohydrate diet for six months.

Usage

data(carbohydrate)

Format

A tibble with 20 observations and the following 4 variables.

carbohydrate

percent of total calories obtained from complex carbohydrates

age

age in years

weight

body weight relative to "ideal" weight for height

protein

percentage of calories as protein

Source

K. Webb

Examples

data(carbohydrate)
summary(carbohydrate)

Cholesterol data from table 6.24

Description

Cholesterol, age and BMI for thirty women.

Usage

data(cholesterol)

Format

A tibble with 30 observations and the following 3 variables.

chol

serum cholesterol (millimoles per liter)

age

age (years)

bmi

body mass index (kg/m2)

Examples

data(cholesterol)
summary(cholesterol)

Chronic health data from table 2.7

Description

Numbers of chronic medical conditions reported by samples of women living in large country towns (town group) or in more rural areas (country group) in New South Wales, Australia

Usage

data(chronic)

Format

A data frame with 49 observations and the following 2 variables.

place

place (town or country)

number

number of conditions

Examples

data(chronic)
summary(chronic)

Cyclone data from table 1.2

Description

The number of tropical cyclones during a season from November to April in Northeastern Australia

Usage

data(cyclones)

Format

A tibble with 13 observations and the following 3 variables.

years

season years

season

season number

number

number of cyclones

References

Dobson AJ and Stewart J (1974). Frequencies of tropical cyclones in the northeastern Australian area. Australian Meteorological Magazine 22, 27–36.

Examples

data(cyclones)
summary(cyclones)

Doctors data from table 9.1

Description

Data from the famous doctors study of smoking conducted by Sir Richard Doll and colleagues

Usage

data(doctors)

Format

A tibble with 10 observations and the following 4 variables.

age

age group

smoking

smoker or non-smoker

deaths

number of deaths

person-years

person years of of observation at the time of the analysis

References

Breslow, N. E. and N. E. Day (1987). Statistical Methods in Cancer Research, Volume 2: The Design and Analysis of Cohort Studies. Lyon: International Agency for Research on Cancer.

Examples

data(doctors)
summary(doctors)

Dogs data from table 11.9

Description

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

Usage

data(dogs)

Format

A tibble with 40 observations and the following 4 variables.

dog

dog number

condition

load condition

y

left ventricular volume

x

parallel conductance volume

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.

Examples

data(dogs)
summary(dogs)

Ears data from table 11.10

Description

Numbers of ears clear of acute otitis media at 14 days by antibiotic treatment and age of the child. The children had acute otitis media in both ears.

Usage

data(ear)

Format

A tibble with 18 observations and the following 4 variables.

age

child's age

treatment

two treatments coded CEF and AMO

number clear

number of clear ears

frequency

faculty

Source

Rosner, B. (1989). Multivariate methods for clustered binary data with more than one level of nesting. Journal of the American Statistical Association 84, 373–380.

Examples

data(ear)
summary(ear)

Failure time data from table 4.1

Description

Lifetimes of Kevlar epoxy strand pressure vessels at 70

Usage

data(failure)

Format

A tibble with 49 observations and the following variable.

lifetimes

time to failure in hours

References

Andrews, D. F. and A. M. Herzberg (1985). Data: A Collection of Problems from Many Fields for the Student and Research Worker. New York: Springer Verlag.

Examples

data(failure)
summary(failure)

Graduate survival data from tables 7.16 and 7.17

Description

Survival 50 years after graduation of men and women who graduated each year from 1938 to 1947 from various Faculties of the University of Adelaide.

Usage

data(graduates)

Format

A tibble with 60 observations and the following 5 variables.

year

year of graduation

survive

number of graduates who survived

total

total number of graduates

faculty

faculty

sex

sex

Source

J.A. Keats

Examples

data(graduates)
summary(graduates)

Hepatitis data from table 10.5

Description

Survival times in months of patients with chronic active hepatitis in a randomized controlled trial of prednisolone versus no treatment

Usage

data(hepatitis)

Format

A tibble with 44 observations and the following 3 variables.

survival time

survival time in months

censor

censored, lost to follow up or died

group

prednisolone or no treatment

References

Altman DG, Bland JM (1998). Statistical notes: times to event (survival) data. British Medical Journal 317, 468–469.

Examples

data(hepatitis)
summary(hepatitis)

Hiroshima data from table 7.14

Description

The number of deaths from leukemia and other cancers among survivors of the Hiroshima atom bomb. The data are for deaths during the period 1950– 1959 among survivors who were aged 25 to 64 years in 1950.

Usage

data(hiroshima)

Format

A tibble with 6 observations and the following 4 variables.

radiation

radiation dose (rads)

leukemia

leukemia deaths

other cancer

deaths from other cancers

total cancers

total cancer deaths

References

Cox, D. R. and E. J. Snell (1981). Applied Statistics: Principles and Examples. London: Chapman & Hall.

Otake, M. (1979). Comparison of time risks based on a multinomial logistic response model in longitudinal studies. Technical Report No. 5, RERF, Hiroshima, Japan.

Examples

data(hiroshima)
summary(hiroshima)

Housing data from table 8.5

Description

Data from an investigation into satisfaction with housing conditions in Copenhagen

Usage

data(housing)

Format

A tibble with 18 observations and the following 4 variables.

type

housing type; tower block, apartment or house

satisfaction

satisfaction; low, medium or high

contact

contact with other residents; low or high

frequency

frequency

References

Madsen, M. (1971). Statistical analysis of multiple contingency tables. two examples. Scandinavian Journal of Statistics 3, 97–106.

Examples

data(housing)
summary(housing)

Insurance data from table 9.13

Description

Insurance claim data by car category, age group and district.

Usage

data(insurance)

Format

A tibble with 32 observations and the following 5 variables.

car

car insurance category

age

age group

district

district where policy holder lived; 1=major city, 0=elsewhere

y

number of claims

n

number of insurance policies

References

Baxter, L. A., S. M. Coutts, and G. A. F. Ross (1980). Applications of linear models in motor insurance. Zurich, pp. 11–29. Proceedings of the 21st International Congress of Actuaries.

Examples

data(insurance)
summary(insurance)

Leukemia data from table 4.6

Description

Survival times and white blood cell count for seventeen patients suffering from leukemia

Usage

data(leukemia)

Format

A tibble with 17 observations and the following 2 variables.

time

time to death in weeks

wbc

log base 10 initial white blood cell count

References

Cox, D. R. and E. J. Snell (1981). Applied Statistics: Principles and Examples. London: Chapman & Hall.

Examples

data(leukemia)
summary(leukemia)

Machine data from table 6.26

Description

Weights of machine components made by workers on different days

Usage

data(machine)

Format

A tibble with 44 observations and the following 3 variables.

day

day number 1 or 2

worker

worker nunber 1 to 4

weight

weight in grams

Examples

data(machine)
summary(machine)

Melanoma data from table 9.4

Description

A cross-sectional study of patients with a form of skin cancer called malignant melanoma

Usage

data(melanoma)

Format

A tibble with 12 observations and the following 3 variables.

type

tumor type

site

site of cancer

frequency

frequency

References

Roberts, G., A. L. Martyn, A. J. Dobson, and W. H. McCarthy (1981). Tumour thickness and histological type in malignant melanoma in New South Wales, Australia, 1970–76. Pathology 13, 763–770.

Examples

data(melanoma)
summary(melanoma)

Mortality data from table 3.2

Description

Numbers of deaths from coronary heart disease and population sizes by 5-year age groups for men in the Hunter region of New South Wales, Australia in 1991.

Usage

data(mortality)

Format

A tibble with 8 observations and the following 3 variables.

age group

age group (years)

deaths

number of deaths

population

population size

Examples

data(mortality)
summary(mortality)

Moths data from table 1.4

Description

Numbers of females and males in the progeny of 16 female light brown apple moths in Muswellbrook, New South Wales, Australia

Usage

data(moths)

Format

A tibble with 16 observations and the following 3 variables.

group

progeny group

females

number of females

males

number of males

References

Lewis T (1987). Uneven sex ratios in the light brown apple moth: a problem in outlier allocation. In D. J. Hand and B. S. Everitt (Eds.), The Statistical Consultant in Action. Cambridge: Cambridge University Press.

Examples

data(moths)
summary(moths)

Pasture data from table 6.23

Description

Response of a grass and legume pasture system to various quantities of phosphorus fertilizer

Usage

data(pasture)

Format

A tibble with 27 observations and the following 2 variables.

K

phosphorus levels (kilograms per hectare)

yield

total yield of grass and legume together (kilograms per hectare)

Source

D. F. Sinclair

Examples

data(pasture)
summary(pasture)

Plant data from table 6.9

Description

Dried weights of plants from three different growing conditions in long format

Usage

data(plant.dried)

Format

A tibble with 30 observations and the following 2 variables.

group

one of three treatment groups

weight

dried weight of plants

Examples

data(plant.dried)
summary(plant.dried)

Plant weight data from table 2.7

Description

Dried weight of plants grown under two conditions.

Usage

data(plants)

Format

A tibble with 20 observations and the following 2 variables.

treatment

weights of treatment plants in grams

control

weights of control plants in grams

Examples

data(plants)
summary(plants)

Plasma phosphate data from table 6.25

Description

Plasma phosphate levels in obese and control participants one hour after a standard glucose tolerance test.

Usage

data(plasma)

Format

A tibble with 31 observations and the following 2 variables.

Group

group; H-O=Hyperinsulinemic obsese, N-O=Non-hyperinsulinemic obese or C=Control

phosphate

plasma inorganic phosphate level (mg/dl)

Examples

data(plasma)
summary(plasma)

Poisson data from table 4.3

Description

Artificial data for a Poisson regression example

Usage

data(poisson)

Format

A tibble with 9 observations and the following two variables.

x

covariate

y

dependent counts

Examples

data(poisson)
summary(poisson)

Remission data from table 10.1

Description

Times to remission of leukemia patients

Usage

data(remission)

Format

A tibble with 42 observations and the following 3 variables.

time

time in weeks

group

group; C=control, T=treatment

censored

censored; 0=No, 1=Yes

References

Gehan, E. A. (1965). A generalized Wilcoxon test for comparing arbitrarily singly-censored samples. Biometrika 52, 203–223.

Examples

data(remission)
summary(remission)

Senility data from table 7.8

Description

Data from a sample of elderly people given a psychiatric examination to determine whether symptoms of senility were present together with their score on a subset of the Wechsler Adult Intelligent Scale (WAIS).

Usage

data(senility)

Format

A tibble with 54 observations and the following 2 variables.

x

WAIS score

s

symptoms of senility present; 1=yes, 0=no

Examples

data(senility)
summary(senility)

Stroke data from table 11.1

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

data(stroke.wide)

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

C. Cropper, University of Queensland

Examples

data(stroke.wide)
summary(stroke.wide)

# To transform data from wide to long format use
## Not run: 
library(reshape2)
stroke = melt(data=stroke.wide, id.vars=c('Subject','Group'), 
  value.name='ability', variable.name='week')
stroke$time = as.numeric(gsub('week', '', stroke$week))

## End(Not run)

Sugar data from table 6.22

Description

Average apparent per capita consumption of sugar (in kg per year) in Australia, as refined sugar and in manufactured foods

Usage

data(sugar)

Format

A tibble with 6 observations and the following 3 variables.

period

period in years

refined

refined sugar

manufactured

Sugar in manufactured food

Source

Australian Bureau of Statistics 1998

Examples

data(sugar)
summary(sugar)

Survival data from table 10.1

Description

Survival times for leukemia patients

Usage

data(survival)

Format

A tibble with 33 observations and the following 3 variables.

survival time

survival time in weeks

WBC

white blood cell count

AG

test result; +=positive, -=negative

References

Feigl, P. and M. Zelen (1965). Estimation of exponential probabilities with concomitant information. Biometrics 21, 826–838.

Examples

data(survival)
summary(survival)

Tumor data from table 8.6

Description

Tumor responses of male and female patients receiving treatment for small-cell lung cancer

Usage

data(tumor)

Format

A tibble with 16 observations and the following 4 variables.

treatment

treatment; sequential or alternating

sex

sex

response

four category ordinal response

frequency

frequency

References

Holtbrugger, W. and M. Schumacher (1991). A comparison of regression models for the analysis of ordered categorical data. Applied Statistics 40, 249–259.

Examples

data(tumor)
summary(tumor)

Ulcer data from table 9.7

Description

Data from a retrospective case-control study. A group of ulcer patients was compared with a group of control patients not known to have peptic ulcer, but who were similar to the ulcer patients with respect to age, sex and socioeconomic status.

Usage

data(ulcer)

Format

A tibble with 8 observations and the following 4 variables.

ulcer

type of ulcer

case-control

case or control

aspirin

aspirin user

frequency

frequency

References

Duggan, J. M., A. J. Dobson, H. Johnson, and P. P. Fahey (1986). Peptic ulcer and non-steroidal anti-inflammatory agents. Gut 27, 929–933.

Examples

data(ulcer)
summary(ulcer)

Unbalanced data from table 6.27

Description

Unbalanced data from a fictitious two-factor experiment

Usage

data(unbalanced)

Format

A tibble with 10 observations and the following 3 variables.

factorA

factor A

factorB

factor B

data

dependent data

Examples

data(unbalanced)
summary(unbalanced)

Vaccine data from table 9.6

Description

Data from a vaccine trial.

Usage

data(vaccine)

Format

A tibble with 6 observations and the following 3 variables.

treatment

treatment group

response

response to treatment

frequency

frequency

Source

R.S. Gillett

Examples

data(vaccine)
summary(vaccine)

Waist loss data from table 2.8

Description

The weights, in kilograms, of twenty men before and after participation in a "waist loss" program

Usage

data(waist)

Format

A tibble with 20 observations and the following 3 variables.

man

man number

before

weight before in kgs

after

weight after in kgs

References

Egger, G., G. Fisher, S. Piers, K. Bedford, G. Morseau, S. Sabasio, B. Taipim, G. Bani, M. Assan, and P. Mills (1999). Abdominal obesity reduction in Indigenous men. International Journal of Obesity 23, 564–569.

Examples

data(waist)
summary(waist)