R で標準的に使用できるデータセットは以下の通り. 説明は随時追加する.

データセット一覧

Item Title
1 AirPassengers Monthly Airline Passenger Numbers 1949-1960
2 BJsales Sales Data with Leading Indicator
3 BJsales.lead (BJsales) Sales Data with Leading Indicator
4 BOD Biochemical Oxygen Demand
5 CO2 Carbon Dioxide Uptake in Grass Plants
6 ChickWeight Weight versus age of chicks on different diets
7 DNase Elisa assay of DNase
8 EuStockMarkets Daily Closing Prices of Major European Stock Indices, 1991-1998
9 Formaldehyde Determination of Formaldehyde
10 HairEyeColor Hair and Eye Color of Statistics Students
11 Harman23.cor Harman Example 2.3
12 Harman74.cor Harman Example 7.4
13 Indometh Pharmacokinetics of Indomethacin
14 InsectSprays Effectiveness of Insect Sprays
15 JohnsonJohnson Quarterly Earnings per Johnson & Johnson Share
16 LakeHuron Level of Lake Huron 1875-1972
17 LifeCycleSavings Intercountry Life-Cycle Savings Data
18 Loblolly Growth of Loblolly pine trees
19 Nile Flow of the River Nile
20 Orange Growth of Orange Trees
21 OrchardSprays Potency of Orchard Sprays
22 PlantGrowth Results from an Experiment on Plant Growth
23 Puromycin Reaction Velocity of an Enzymatic Reaction
24 Seatbelts Road Casualties in Great Britain 1969-84
25 Theoph Pharmacokinetics of Theophylline
26 Titanic Survival of passengers on the Titanic
27 ToothGrowth The Effect of Vitamin C on Tooth Growth in Guinea Pigs
28 UCBAdmissions Student Admissions at UC Berkeley
29 UKDriverDeaths Road Casualties in Great Britain 1969-84
30 UKgas UK Quarterly Gas Consumption
31 USAccDeaths Accidental Deaths in the US 1973-1978
32 USArrests Violent Crime Rates by US State
33 USJudgeRatings Lawyers’ Ratings of State Judges in the US Superior Court
34 USPersonalExpenditure Personal Expenditure Data
35 UScitiesD Distances Between European Cities and Between US Cities
36 VADeaths Death Rates in Virginia (1940)
37 WWWusage Internet Usage per Minute
38 WorldPhones The World’s Telephones
39 ability.cov Ability and Intelligence Tests
40 airmiles Passenger Miles on Commercial US Airlines, 1937-1960
41 airquality New York Air Quality Measurements
42 anscombe Anscombe’s Quartet of ‘Identical’ Simple Linear Regressions
43 attenu The Joyner-Boore Attenuation Data
44 attitude The Chatterjee-Price Attitude Data
45 austres Quarterly Time Series of the Number of Australian Residents
46 beaver1 (beavers) Body Temperature Series of Two Beavers
47 beaver2 (beavers) Body Temperature Series of Two Beavers
48 cars Speed and Stopping Distances of Cars
49 chickwts Chicken Weights by Feed Type
50 co2 Mauna Loa Atmospheric CO2 Concentration
51 crimtab Student’s 3000 Criminals Data
52 discoveries Yearly Numbers of Important Discoveries
53 esoph Smoking, Alcohol and (O)esophageal Cancer
54 euro Conversion Rates of Euro Currencies
55 euro.cross (euro) Conversion Rates of Euro Currencies
56 eurodist Distances Between European Cities and Between US Cities
57 faithful Old Faithful Geyser Data
58 fdeaths (UKLungDeaths) Monthly Deaths from Lung Diseases in the UK
59 freeny Freeny’s Revenue Data
60 freeny.x (freeny) Freeny’s Revenue Data
61 freeny.y (freeny) Freeny’s Revenue Data
62 infert Infertility after Spontaneous and Induced Abortion
63 iris Edgar Anderson’s Iris Data
64 iris3 Edgar Anderson’s Iris Data
65 islands Areas of the World’s Major Landmasses
66 ldeaths (UKLungDeaths) Monthly Deaths from Lung Diseases in the UK
67 lh Luteinizing Hormone in Blood Samples
68 longley Longley’s Economic Regression Data
69 lynx Annual Canadian Lynx trappings 1821-1934
70 mdeaths (UKLungDeaths) Monthly Deaths from Lung Diseases in the UK
71 morley Michelson Speed of Light Data
72 mtcars Motor Trend Car Road Tests
73 nhtemp Average Yearly Temperatures in New Haven
74 nottem Average Monthly Temperatures at Nottingham, 1920-1939
75 npk Classical N, P, K Factorial Experiment
76 occupationalStatus Occupational Status of Fathers and their Sons
77 precip Annual Precipitation in US Cities
78 presidents Quarterly Approval Ratings of US Presidents
79 pressure Vapor Pressure of Mercury as a Function of Temperature
80 quakes Locations of Earthquakes off Fiji
81 randu Random Numbers from Congruential Generator RANDU
82 rivers Lengths of Major North American Rivers
83 rock Measurements on Petroleum Rock Samples
84 sleep Student’s Sleep Data
85 stack.loss (stackloss) Brownlee’s Stack Loss Plant Data
86 stack.x (stackloss) Brownlee’s Stack Loss Plant Data
87 stackloss Brownlee’s Stack Loss Plant Data
88 state.abb (state) US State Facts and Figures
89 state.area (state) US State Facts and Figures
90 state.center (state) US State Facts and Figures
91 state.division (state) US State Facts and Figures
92 state.name (state) US State Facts and Figures
93 state.region (state) US State Facts and Figures
94 state.x77 (state) US State Facts and Figures
95 sunspot.month Monthly Sunspot Data, from 1749 to “Present”
96 sunspot.year Yearly Sunspot Data, 1700-1988
97 sunspots Monthly Sunspot Numbers, 1749-1983
98 swiss Swiss Fertility and Socioeconomic Indicators (1888) Data
99 treering Yearly Treering Data, -6000-1979
100 trees Girth, Height and Volume for Black Cherry Trees
101 uspop Populations Recorded by the US Census
102 volcano Topographic Information on Auckland’s Maunga Whau Volcano
103 warpbreaks The Number of Breaks in Yarn during Weaving
104 women Average Heights and Weights for American Women

AirPassengers

時系列モデル.

Box & Jenkins のデータ. 1949〜1960における, 航空会社の国際線の顧客の月別総乗客数.

AirPassengers
##      Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
## 1949 112 118 132 129 121 135 148 148 136 119 104 118
## 1950 115 126 141 135 125 149 170 170 158 133 114 140
## 1951 145 150 178 163 172 178 199 199 184 162 146 166
## 1952 171 180 193 181 183 218 230 242 209 191 172 194
## 1953 196 196 236 235 229 243 264 272 237 211 180 201
## 1954 204 188 235 227 234 264 302 293 259 229 203 229
## 1955 242 233 267 269 270 315 364 347 312 274 237 278
## 1956 284 277 317 313 318 374 413 405 355 306 271 306
## 1957 315 301 356 348 355 422 465 467 404 347 305 336
## 1958 340 318 362 348 363 435 491 505 404 359 310 337
## 1959 360 342 406 396 420 472 548 559 463 407 362 405
## 1960 417 391 419 461 472 535 622 606 508 461 390 432
plot(AirPassengers,type="l")

BJsales

時系列モデル. Box & Jenkins のセールスのデータ.

BJsales
## Time Series:
## Start = 1 
## End = 150 
## Frequency = 1 
##   [1] 200.1 199.5 199.4 198.9 199.0 200.2 198.6 200.0 200.3 201.2 201.6
##  [12] 201.5 201.5 203.5 204.9 207.1 210.5 210.5 209.8 208.8 209.5 213.2
##  [23] 213.7 215.1 218.7 219.8 220.5 223.8 222.8 223.8 221.7 222.3 220.8
##  [34] 219.4 220.1 220.6 218.9 217.8 217.7 215.0 215.3 215.9 216.7 216.7
##  [45] 217.7 218.7 222.9 224.9 222.2 220.7 220.0 218.7 217.0 215.9 215.8
##  [56] 214.1 212.3 213.9 214.6 213.6 212.1 211.4 213.1 212.9 213.3 211.5
##  [67] 212.3 213.0 211.0 210.7 210.1 211.4 210.0 209.7 208.8 208.8 208.8
##  [78] 210.6 211.9 212.8 212.5 214.8 215.3 217.5 218.8 220.7 222.2 226.7
##  [89] 228.4 233.2 235.7 237.1 240.6 243.8 245.3 246.0 246.3 247.7 247.6
## [100] 247.8 249.4 249.0 249.9 250.5 251.5 249.0 247.6 248.8 250.4 250.7
## [111] 253.0 253.7 255.0 256.2 256.0 257.4 260.4 260.0 261.3 260.4 261.6
## [122] 260.8 259.8 259.0 258.9 257.4 257.7 257.9 257.4 257.3 257.6 258.9
## [133] 257.8 257.7 257.2 257.5 256.8 257.5 257.0 257.6 257.3 257.5 259.6
## [144] 261.1 262.9 263.3 262.8 261.8 262.2 262.7
plot(BJsales,type="l")

BJsales.lead

時系列モデル. Box & Jenkins のセールスの主要指標のデータ.

Leading Indicator。

BJsales.lead
## Time Series:
## Start = 1 
## End = 150 
## Frequency = 1 
##   [1] 10.01 10.07 10.32  9.75 10.33 10.13 10.36 10.32 10.13 10.16 10.58
##  [12] 10.62 10.86 11.20 10.74 10.56 10.48 10.77 11.33 10.96 11.16 11.70
##  [23] 11.39 11.42 11.94 11.24 11.59 10.96 11.40 11.02 11.01 11.23 11.33
##  [34] 10.83 10.84 11.14 10.38 10.90 11.05 11.11 11.01 11.22 11.21 11.91
##  [45] 11.69 10.93 10.99 11.01 10.84 10.76 10.77 10.88 10.49 10.50 11.00
##  [56] 10.98 10.61 10.48 10.53 11.07 10.61 10.86 10.34 10.78 10.80 10.33
##  [67] 10.44 10.50 10.75 10.40 10.40 10.34 10.55 10.46 10.82 10.91 10.87
##  [78] 10.67 11.11 10.88 11.28 11.27 11.44 11.52 12.10 11.83 12.62 12.41
##  [89] 12.43 12.73 13.01 12.74 12.73 12.76 12.92 12.64 12.79 13.05 12.69
## [100] 13.01 12.90 13.12 12.47 12.47 12.94 13.10 12.91 13.39 13.13 13.34
## [111] 13.34 13.14 13.49 13.87 13.39 13.59 13.27 13.70 13.20 13.32 13.15
## [122] 13.30 12.94 13.29 13.26 13.08 13.24 13.31 13.52 13.02 13.25 13.12
## [133] 13.26 13.11 13.30 13.06 13.32 13.10 13.27 13.64 13.58 13.87 13.53
## [144] 13.41 13.25 13.50 13.58 13.51 13.77 13.40
plot(BJsales.lead,type="l")