Name:

Description:

Several meteorological measurements for a period between 1920 and 1931.

Variables:

A data frame with 11 observations on the following 7 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?

Link To Google Sheets:

Rows:

Columns:

Files:

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References/Notes/Attributions:

Source

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

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: