HistData: Data Sets from the History of Statistics and Data Visualization

統計学やデータ可視化の歴史に関するデータセット

> library(HistData)

バージョン: 0.7.6

関数名 概略
Arbuthnot Arbuthnot's data on male and female birth ratios in London from 1629-1710.
Armada La Felicisima Armada
Bowley Bowley's data on values of British and Irish trade, 1855-1899
Cavendish Cavendish's Determinations of the Density of the Earth
ChestSizes Chest measurements of 5738 Scottish Militiamen
CushnyPeebles Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives
Dactyl Edgeworth's counts of dactyls in Virgil's Aeneid
DrinksWages Elderton and Pearson's (1910) data on drinking and wages
Fingerprints Waite's data on Patterns in Fingerprints
Galton Galton's data on the heights of parents and their children
GaltonFamilies Galton's data on the heights of parents and their children, by child
Guerry Data from A.-M. Guerry, "Essay on the Moral Statistics of France"
HistData-package Data sets from the History of Statistics and Data Visualization Jevons W. Stanley Jevons' data on numerical discrimination
Langren van Langren's Data on Longitude Distance between Toledo and Rome
Macdonell Macdonell's Data on Height and Finger Length of Criminals, used by Gosset (1908)
Michelson Michelson's Determinations of the Velocity of Light
Minard Data from Minard's famous graphic map of Napoleon's march on Moscow
Nightingale Florence Nightingale's data on deaths from various causes in the Crimean War
OldMaps Latitudes and Longitudes of 39 Points in 11 Old Maps
PearsonLee Pearson and Lee's data on the heights of parents and children classified by gender
PolioTrials Polio Field Trials Data
Prostitutes Parent-Duchatelet's time-series data on the number of prostitutes in Paris
Pyx Trial of the Pyx
Quarrels Statistics of Deadly Quarrels
Snow John Snow's map and data on the 1854 London Cholera outbreak
Wheat Playfair's Data on Wages and the Price of Wheat
Yeast Student's (1906) Yeast Cell Counts
ZeaMays Darwin's Heights of Cross- and Self-fertilized Zea May Pairs

ChestSizes

> data(ChestSizes)
> ChestSizes %>% {
+   print(class(.))
+   dplyr::tbl_df(.) %>% dplyr::sample_n(., 4)
+ }

[1] "data.frame"

Source: local data frame [4 x 2]

  chest count
  (int) (int)
1    48     1
2    39  1073
3    42   658
4    40  1079

PolioTrials

> data(PolioTrials)
> PolioTrials %>% {
+   print(class(.))
+   dplyr::tbl_df(.) %>% dplyr::sample_n(., 4)
+ }

[1] "data.frame"

Source: local data frame [4 x 6]

         Experiment                  Group Population Paralytic
             (fctr)                 (fctr)      (int)     (int)
1 RandomizedControl             Vaccinated     200745        33
2   ObservedControl    Grade2NotInoculated     123605        43
3 RandomizedControl                Placebo     201229       115
4   ObservedControl IncompleteVaccinations       9904         4
Variables not shown: NonParalytic (int), FalseReports (int)

ZeaMays

> data(ZeaMays)
> ZeaMays %>% {
+   print(class(.))
+   dplyr::tbl_df(.) %>% dplyr::sample_n(., 4)
+ }

[1] "data.frame"

Source: local data frame [4 x 5]

   pair    pot  cross   self  diff
  (int) (fctr)  (dbl)  (dbl) (dbl)
1     5      2 19.125 18.375  0.75
2    14      4 23.000 15.500  7.50
3    12      4 21.000 18.000  3.00
4     9      3 18.250 16.500  1.75