Package 'fma'

Title: Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998)
Description: All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright & Hyndman (Wiley, 3rd ed., 1998) <https://robjhyndman.com/forecasting/>.
Authors: Rob Hyndman [aut, cre, cph] , Justin Carmody [ctb]
Maintainer: Rob Hyndman <[email protected]>
License: GPL-3
Version: 2.5.0.9000
Built: 2024-11-13 02:58:03 UTC
Source: https://github.com/robjhyndman/fma

Help Index


Data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright and Hyndman (1998)

Description

All data sets from "Forecasting: methods and applications" by Makridakis, Wheelwright and Hyndman (Wiley, 3rd ed., 1998).

Author(s)

Rob J Hyndman. [email protected]

References

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. https://robjhyndman.com/forecasting/


Sales volume and advertising expenditure

Description

Sales volume and advertising expenditure for a dietary weight control product.

Usage

advsales

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 8.

References

Blattberg and Jeuland (1981).

Examples

plot(advsales)

Monthly Airline Passenger Numbers 1949-1960

Description

The classic Box & Jenkins airline data. Monthly totals of international airline passengers (1949–1960).

Usage

airpass

Format

A monthly time series, in thousands.

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.4, Chapter 3, Exercise 4.7.

References

Box, Jenkins and Reinsell (1994) Time series analysis: forecasting and control, 3rd edition, Holden-Day: San Francisco. Series G.

Examples

plot(airpass)
seasonplot(airpass)
tsdisplay(airpass)

Attributes of some US and Japanese automobiles

Description

Price, mileage, age and country of origin for 45 automobiles.

Usage

auto

Format

This data frame contains the following columns:

Model

Name of model

Country

Country of manufacture

Mileage

Mileage per gallon

Price

Price of car at time of measurement

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, Wiley: New York. Chapter 2.

References

Consumer Reports, April 1990, pp.235-255.

Examples

plot(Price ~ Mileage, data=auto, pch=19, col=2)
points(auto$Mileage[auto$Country=="USA"],
 auto$Price[auto$Country=="USA"], pch=19, col=4)
legend(30,25000,legend=c("USA","Japan"), pch=19, col=c(4,2))

Mutual savings bank deposits

Description

Deposits in a mutual savings bank in a large metropolitan area.

Usage

bank

Format

Data frame containing the following columns:

EOM

End of month balance

AAA

Composite AAA bond rates

threefour

US Government 3-4 year bonds

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 6.

Examples

plot(bank)

Monthly beer production

Description

Monthly Australian beer production: Jan 1991 – Aug 1995.

Usage

beer

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 2.

Examples

plot(beer)
seasonplot(beer)
tsdisplay(beer)

Annual bituminous coal production

Description

Annual bituminous coal production in the USA: 1920–1968.

Usage

bicoal

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.7.

Examples

tsdisplay(bicoal)

Sales of paperback and hardcover books

Description

Daily sales of paperback and hardcover books at the same store.

Usage

books

Format

Bivariate time series containing the following columns:

Paperback

Number of paperback sales each day

Hardcover

Number of hardcover sales each day

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 4.5.

Examples

plot(books)

Monthly dollar volume of sales

Description

Monthly dollar volume of sales on Boston stock exchange and combined New York and American stock exchange. January 1967 – November 1969.

Usage

boston

Format

Bivariate time series containing the following columns:

nyase

New York and American Stock Exchange dollar volume

bse

Boston Stock Exchange dollar volume

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 6.5

References

McGee and Carleton (1970) Piecewise regression, Journal of the American Statistical Association, 65, 1109–1124.

Examples

plot(boston)

Quarterly clay brick production

Description

Australian quarterly clay brick production: 1956–1994.

Usage

bricksq

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 1 and Exercise 2.3.

Examples

plot(bricksq)
seasonplot(bricksq)
tsdisplay(bricksq)

Canadian unemployment rate

Description

Canadian unemployment rate as a percentage of the civilian labor force between 1974 and the third quarter of 1975.

Usage

canadian

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 4.1.

Examples

plot(canadian)

Quarterly capital expenditure and appropriations

Description

Seasonally adjusted quarterly capital expenditure and appropriations in U.S. manufacturing: 1953–1974.

Usage

capital

Format

Bivariate time series containing the following columns:

capital

Quarterly capital expenditure for US manufacturing.

appropriations

Quarterly capital appropriations for US manufacturing.

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 8.

Examples

plot(capital)

Cement composition and heat data

Description

Cement composition and heat data.

Usage

cement

Format

Data frame containing the following columns:

pc1

Percentage by weight of component 1

pc2

Percentage by weight of component 2

pc3

Percentage by weight of component 3

heat

Heat emitted in calories per gram of cement.

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 6.4

Examples

plot(cement)

Price of chicken

Description

Price of chicken in US (constant dollars): 1924–1993.

Usage

chicken

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(chicken)

Condensed milk

Description

Manufacturer's Stocks of evaporated and sweetened condensed milk.

Usage

condmilk

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.5.

Examples

plot(condmilk)
seasonplot(condmilk)
tsdisplay(condmilk)

Copper price

Description

Yearly copper prices, 1800–1997 (in constant 1997 dollars).

Usage

copper

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(copper)

Copper prices

Description

Monthly copper prices for 28 consecutive months (in constant 1997 dollars).

Usage

copper1

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(copper1)

Copper prices

Description

Yearly copper prices for 14 consecutive years (in constant 1997 dollars).

Usage

copper2

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(copper2)

Copper prices

Description

Yearly copper prices for 43 consecutive years (in constant 1997 dollars).

Usage

copper3

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(copper3)

Temperature of a cow

Description

Daily morning temperature of a cow. Measure at 6.30am for 75 consecutive mornings by counting chirps from a telemetric thermometer implanted in the cow. Data are chirps per 5-minute interval minus 800.

Usage

cowtemp

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercises 2.3 and 2.4.

References

Velleman, Paul. (1981) The ABC of EDA, Duxbury Press.

Examples

plot(cowtemp)
tsdisplay(cowtemp)

Consumer price index

Description

Quarterly CPI (consumer price index) for Victoria: Q1 1980 to Q2 1995.

Usage

cpimel

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 8.7.

Examples

tsdisplay(cpimel)

Dexterity test and production ratings

Description

Scores on manual dexterity test and production ratings for 20 workers.

Usage

dexter

Format

Data frame containing the following columns:

score

Test score for manual dexterity

production

Production rating

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.4

Examples

plot(production~score, data=dexter, pch=19, col=3)

Dow-Jones index

Description

Dow-Jones index on 251 trading days ending 26 Aug 1994.

Usage

dj

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 7.

References

Brockwell and Davis (1996)

Examples

tsdisplay(dj)

Unemployment benefits in Australia

Description

Monthly total of people on unemployment benefits in Australia (Jan 1965 – Jul 1992).

Usage

dole

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.3.

Examples

plot(dole)
tsdisplay(dole)

Dow-Jones index

Description

Dow-Jones index, 28 Aug - 18 Dec 1972.

Usage

dowjones

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.7.

Examples

tsdisplay(dowjones)

Electricity consumption and temperature

Description

Electricity consumption and maximum temperature for 12 randomly chosen days.

Usage

econsumption

Format

Data frame containing the following columns:

Mwh

Daily electricity consumption (megawatt-hours)

temp

Daily maximum temperature (degrees Celsius)

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.5

Examples

plot(Mwh ~ temp, data=econsumption, pch=19, col=4)

Price of eggs

Description

Price of dozen eggs in US, 1900–1993, in constant dollars.

Usage

eggs

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(eggs)

Sales of electric knives

Description

Sales of electric knives: Jan 1991 - April 1992.

Usage

eknives

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 4.2.

Examples

plot(eknives)

Sales of Elco's laser printers

Description

Sales of Elco's laser printers: 1992–1998.

Usage

elco

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 10.

Examples

plot(elco)

Electricity production

Description

Australian monthly electricity production: Jan 1956 – Aug 1995.

Usage

elec

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapters 1–2, 7.

Examples

plot(elec)
seasonplot(elec)
tsdisplay(elec)

Expenditure

Description

Expenditure for 12 supermarket customers.

Usage

expenditure

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 2.

Examples

hist(expenditure)

Sales for a souvenir shop

Description

Monthly sales for a souvenir shop on the wharf at a beach resort town in Queensland, Australia.

Usage

fancy

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.8.

Examples

plot(fancy)
seasonplot(fancy)

Industry index

Description

French index of industry.

Usage

french

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 4.4.

Examples

plot(french)

Housing data

Description

Monthly housing starts, construction contracts and average new home mortgage rates (Jan 1983 - Oct 1989).

Usage

housing

Format

Trivariate time series containing the following columns:

hstarts

Monthly housing starts (thousands of units)

construction

Construction contracts (millions of dollars)

interest

Average new home mortgage rates

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 8.

References

Survey of current business, US Department of Commerce, 1990.

Examples

plot(housing)

Sales of one-family houses

Description

Monthly sales of new one-family houses sold in the USA since 1973.

Usage

hsales

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 3.

References

US Census Bureau, Manufacturing and Construction Division

Examples

plot(hsales)
plot(stl(hsales,"periodic"),main="Sales of new one-family houses, USA")

Sales of new one-family houses

Description

Sales of new one-family houses in the USA (Jan 1987 – Nov 1995).

Usage

hsales2

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.10.

Examples

plot(hsales2)
seasonplot(hsales2)
tsdisplay(hsales2)

Level of Lake Huron

Description

Level of Lake Huron in feet (reduced by 570 feet): 1875–1972.

Usage

huron

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 8.2.

Examples

plot(huron)

IBM sales and profit

Description

IBM sales and profit (1954-1984) and forecasts.

Usage

ibm

Format

Time series data

Sales

IBM annual sales

Profit

IBM annual profit

FSales

Forecast of IBM sales made in 1984

FProfit

Forecast of IBM profits made in 1984

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

par(mfrow=c(2,1))
plot(ibm[,1], xlim=c(1954,2000), ylim=c(0,200),
  ylab="Sales (billions of $)", xlab="Year", type="o")
lines(ibm[,3],col=2,type="o")
plot(ibm[,2], xlim=c(1954,2000), ylim=c(-10,30),
  ylab="Profits (billions of $)", xlab="Year", type="o")
lines(ibm[,4],col=2,type="o")

Closing IBM stock price

Description

Daily closing IBM stock price.

Usage

ibmclose

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.2.

References

Box, Jenkins and Reinsell (1994) Time series analysis: forecasting and control, 3rd edition, Holden-Day: San Francisco.

Examples

tsdisplay(ibmclose)

Input series

Description

Input series for exercise 8.6.

Usage

input

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 8.6.

Examples

plot(input)

Number of internet users

Description

Number of users logged on to an internet server each minute over a 100-minute period.

Usage

internet

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 7.

Examples

tsdisplay(internet)

Inventory demand

Description

Inventory demand for product E15.

Usage

invent15

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.6. Also Chapter 4.

Examples

plot(invent15)

Motor vehicle production

Description

Japanese motor vehicle production in thousand (1947–1989).

Usage

jcars

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.8. Chapter 8.

References

World motor vehicle data, Motor Vehicle Manufacturers of US Inc, Detroit, 1991.

Examples

plot(jcars)
log.jcars <- BoxCox(jcars,0)
jcars.f <- holt(log.jcars)
plot(jcars.f)

King Kong data

Description

King Kong data.

Usage

kkong

Format

Data frame consisting of following columns

weight

Weights of 21 gorillas

height

Heights of 21 gorillas

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 5. Exercise 5.6.

Examples

plot(weight~height, data=kkong, pch=19, col=2)

Civilian labour force

Description

Number of persons in the civilian labour force in Australia each month (Feb 1978 - Aug 1995).

Usage

labour

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 3.8.

Examples

plot(labour)
labour.stl <- stl(labour,10)
plot(labour.stl)
monthplot(labour.stl$time.series[,1],type="h")

Annual Canadian Lynx trappings 1821–1934

Description

Annual number of lynx trapped in McKenzie river district of northwest Canada: 1821–1934.

Usage

lynx

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.3.

References

Campbell, M. J.and A. M. Walker (1977). A Survey of statistical work on the Mackenzie River series of annual Canadian lynx trappings for the years 1821–1934 and a new analysis. Journal of the Royal Statistical Society series A, 140, 411–431.

Examples

plot(lynx)
tsdisplay(lynx)

Monthly milk production per cow

Description

Average monthly milk production per cow over 14 years (January 1962 - December 1975).

Usage

milk

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 2.

References

Cryer (1986) Time series analysis, Duxbury Press: Belmont.

Examples

par(mfrow=c(2,1))
plot(milk,xlab="Year",ylab="pounds",
    main="Monthly milk production per cow")
milk.adj <- milk/monthdays(milk)*365.25/12
plot(milk.adj,xlab="Year",ylab="pounds",
    main="Adjusted monthly milk production per cow")

Number of minks trapped

Description

Annual number of minks trapped in McKenzie river district of northwest Canada: 1848–1911.

Usage

mink

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.4.

Examples

tsdisplay(mink)

Mortality

Description

Bird mortality for 156 poultry farms, Aug 1995 - Jul 1996.

Usage

mortal

Format

Data frame containing the following columns:

typeA

Percentage of Type A birds for each farm.

mortality

Percentage mortality of all birds for each farm.

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.9

Examples

plot(mortality~typeA, data=mortal)

Total accommodation at hotel, motel and guest house

Description

Total room nights occupied and total monthly takings from accommodation at hotel, motel and guest house in Victoria, Australia: Jan 1980 - June 1995.

Usage

motel

Format

Bivariate time series containing the following columns:

Roomnights

Total room nights

Takings

Total monthly takings (thousands of dollars)

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 8.7.

Examples

plot(motel[,2], motel[,1], xlab="Room nights", ylab="Takings",
  pch=19, col=4)

Employment figures in the motion picture industry

Description

Monthly employment figures for the motion picture industry (SIC Code 78): Jan 1955 – Dec 1970.

Usage

motion

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.9.

References

"Employment and earnings, US 1909–1978", Department of Labor, 1979.

Examples

plot(motion)
seasonplot(motion)
tsdisplay(motion)

Nail prices

Description

Nail prices, 1800–1996 in constant dollars.

Usage

nail

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(nail)

Oil prices

Description

Oil prices in constant 1997 dollars: 1870–1997.

Usage

oilprice

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 10.

Examples

plot(oilprice)

Men's 400 m final winning times in each Olympic Games

Description

Winning times for the men's 400 m final in each Olympic Games: 1896–1996.

Usage

olympic

Format

Data frame containing the following columns:

Year

Year of Olympics

time

Winning time in 400m final

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.7

Examples

plot(time~Year, data=olympic, pch=19, col=3)

Ozone depletion and melanoma rates

Description

Ozone depletion and melanoma rates in various locations.

Usage

ozone

Format

Data frame containing the following columns:

ozonedep

Ozone depletion rates as percentages

melanoma

Melanoma rates as percentages

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.3.

Examples

plot(ozonedep~melanoma, data=ozone, pch=19, col=2)

Average temperature

Description

Average monthly temperature in Paris.

Usage

paris

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.1.

Examples

plot(paris)
seasonplot(paris)
tsdisplay(paris)

GDP

Description

GDP for Western Europe and PCV industry sales.

Usage

pcv

Format

Bivariate time series consisting of the following columns

GDP

GDP Western Europe

PCV

PCV Industry sales

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 5.

Examples

plot(PCV~GDP, data=pcv, pch=20, col=2)

Sales of petroleum and related product

Description

US monthly sales of petroleum and related product: Jan 1971 - Dec 1991.

Usage

petrol

Format

Multivariate time series data:

Chemicals

Sales of chemicals and allied products

Coal

Sales of Bituminous coal products

Petrol

Sales of petroleum and coal products

Vehicles

Sales of motor vehicles and parts

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 8.

Examples

plot(petrol)

Number of pigs slaughtered

Description

Monthly total number of pigs slaughtered in Victoria, Australia (Jan 1980 – Aug 1995).

Usage

pigs

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 7.

Examples

tsdisplay(pigs)

Sales of plastic product

Description

Monthly sales of product A for a plastics manufacturer.

Usage

plastics

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 3.5.

Examples

plot(plastics)
seasonplot(plastics)
plot(stl(plastics,"periodic"))

Shipment of pollution equipment

Description

Monthly shipments of pollution equipment (in thousands of French francs), Jan 1986 – Oct 1996.

Usage

pollution

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 7.

Examples

tsdisplay(pollution)

Sales of product C

Description

Sales of product C (a lubricant sold in large containers).

Usage

productC

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 1.

Examples

plot(productC)

Pulp price and shipments

Description

World pulp price and shipments.

Usage

pulpprice

Format

Data frame consisting of following columns

shipments

World pulp shipments

price

World pulp price

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 5.

Examples

plot(shipments~price, data=pulpprice)

Electricity production

Description

Quarterly electricity production.

Usage

qelec

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 3.4.

Examples

plot(decompose(qelec))

Sales data

Description

Quarterly exports of a French company in thousands of francs.

Usage

qsales

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 3.7 and Table 4-7.

Examples

plot(qsales)

Running times and maximal aerobic capacity

Description

Running times and maximal aerobic capacity for 14 female runners.

Usage

running

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 2.5.

References

Conley, Krahenbuhl, Burkett and Millar (1981) Physiological correlates of female road racing performance, Research Quarterly Exercise Sport, 52, 441–448.

Examples

plot(times~capacity, data=running, pch=19, col=2)

Sales data

Description

Sales data over 10 time periods.

Usage

sales

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 5.

Examples

plot(sales,type="p")
abline(lsfit(1:10,sales))

Perceptual speed scores

Description

Daily perceptual speed scores for a schizophrenic patient. The patient began receiving a powerful tranquilizer (chlorpromzaine) on the 61st day and continued receiving the drug for the remainder of the sample period. It is expected that this drug would reduce perceptual speed.

Usage

schizo

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 8.8.

References

McCleary and Hay (1980).

Examples

plot(schizo)

Sales of shampoo

Description

Sales of shampoo over a three year period.

Usage

shampoo

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 3.

Examples

plot(shampoo)

Sheep population

Description

Sheep population (in millions) of England and Wales: 1867–1939.

Usage

sheep

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.6.

References

Kendall (1976).

Examples

tsdisplay(sheep)

Electric can opener shipments

Description

Electric can opener shipments.

Usage

ship

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 4. Exercise 4.6.

Examples

plot(ship)

Shipments

Description

Shipments

Usage

shipex

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 3.1

Examples

plot(shipex)

Number of strikes

Description

Number of strikes in the US from 1951 to 1980.

Usage

strikes

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.4

References

Brockwell and Davis (1991)

Examples

tsdisplay(strikes)

Telephone cost

Description

Telephone cost in San Francisco, New York: 1915–1996.

Usage

telephone

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(telephone)

Price and consumption of natural gas

Description

Price and per capita consumption of natural gas in 20 towns in Texas.

Usage

texasgas

Format

Data frame containing the following columns:

price

Average price in cents per thousand cubic feet

consumption

Consumption per customer in thousand cubic feet.

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 5.10. Exercise 6.2.

Examples

plot(consumption ~ price, data=texasgas)

Total deaths and serious injuries

Description

Monthly total deaths and serious injuries on UK roads: Jan 1975 – Dec 1984. In February 1983, new legislation came into force requiring seat belts to be worn.

Usage

ukdeaths

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 8.

References

Harvey (1989)

Examples

plot(ukdeaths)
seasonplot(ukdeaths)
tsdisplay(ukdeaths)

Accidental deaths in USA

Description

Monthly accidental deaths in USA.

Usage

usdeaths

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercises 2.3 and 2.4.

Examples

plot(usdeaths)
seasonplot(usdeaths)
tsdisplay(usdeaths)

Total generation of electricity

Description

Monthly total generation of electricity by the U.S. electric industry (Jan 1985 - Oct 1996.

Usage

uselec

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.8.

Examples

plot(uselec)
seasonplot(uselec)
tsdisplay(uselec)

Treasury bill contracts

Description

US treasury bill contracts on the Chicago market for 100 consecutive trading days in 1981.

Usage

ustreas

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 1.

Examples

plot(ustreas)
tsdisplay(ustreas)

Real daily wages

Description

Real daily wages in pounds, England: 1260–1994.

Usage

wagesuk

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(wagesuk)

Wheat prices

Description

Wheat prices in constant 1996 pounds: 1264–1996.

Usage

wheat

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 9.

Examples

plot(wheat)

White noise series

Description

White noise series.

Usage

wn

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Exercise 7.3.

Examples

tsdisplay(wn)

White noise time series

Description

White noise time series with 36 values.

Usage

wnoise

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chpater 7.

Examples

tsdisplay(wnoise)

Sales of printing and writing paper

Description

Industry sales for printing and writing paper (in thousands of French francs): Jan 1963 – Dec 1972.

Usage

writing

Format

Time series data

Source

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods and applications, John Wiley & Sons: New York. Chapter 7.

Examples

tsdisplay(writing)
seasonplot(writing)