Skip to contents

Several meteorological measurements for a period between 1920 and 1931.

Usage

data("meteo")

Format

A data frame with 11 observations on the following 6 variables.

year

the years.

rainNovDec

rainfall in November and December (mm).

temp

average July temperature.

rainJuly

rainfall in July (mm).

radiation

radiation in July (millilitres of alcohol).

yield

average harvest yield (quintals per hectare).

Details

Carry out a principal components analysis of both the covariance matrix and the correlation matrix of the data and compare the results. Which set of components leads to the most meaningful interpretation?

Source

B. S. Everitt and G. Dunn (2001), Applied Multivariate Data Analysis, 2nd edition, Arnold, London.

Examples


  data("meteo", package = "HSAUR3")
  meteo
#>       year rainNovDec temp rainJuly radiation yield
#> 1  1920-21       87.9 19.6      1.0      1661 28.37
#> 2  1921-22       89.9 15.2     90.1       968 23.77
#> 3  1922-23      153.0 19.7     56.6      1353 26.04
#> 4  1923-24      132.1 17.0     91.0      1293 25.74
#> 5  1924-25       88.8 18.3     93.7      1153 26.68
#> 6  1925-26      220.9 17.8    106.9      1286 24.29
#> 7  1926-27      117.7 17.8     65.5      1104 28.00
#> 8  1927-28      109.0 18.3     41.8      1574 28.37
#> 9  1928-29      156.1 17.8     57.4      1222 24.96
#> 10 1929-30      181.5 16.8    140.6       902 21.66
#> 11 1930-31      181.4 17.0     74.3      1150 24.37