La Felicisima Armada

Description

The Spanish Armada (Spanish: Grande y Felicisima Armada, literally "Great and Most Fortunate Navy") was a Spanish fleet of 130 ships that sailed from La Coruna in August 1588. During its preparation, several accounts of its formidable strength were circulated to reassure allied powers of Spain or to intimidate its enemies. One such account was given by Paz Salas et Alvarez (1588). The intent was bring the forces of Spain to invade England, overthrow Queen Elizabeth I, and re-establish Spanish control of the Netherlands. However the Armada was not as fortunate as hoped: it was all destroyed in one week's fighting.

de Falguerolles (2008) reports the table given here as Armada as an early example of data to which multivariate methods might be applied.

Usage

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data("Armada")

Format

A data frame with 10 observations on the following 11 variables.

Armada

designation of the fleet, a factor with levels Andalucia Castilla Galeras Guipuscua Napoles Pataches Portugal Uantiscas Vizca Vrcas

ships

number of ships, a numeric vector

tons

total tons, a numeric vector

soldiers

number of soldiers, a numeric vector

sailors

number of sailors, a numeric vector

men

total of soldiers plus sailors, a numeric vector

artillery

a numeric vector

balls

a numeric vector

gunpowder

a numeric vector

lead

a numeric vector

rope

a numeric vector

Details

Note that men = soldiers + sailors

Source

de Falguerolles, A. (2008) L'analyse des donnees; before and around. Journal Electronique d'Histoire des Probabilites et de la Statistique, 4 (2), www.jehps.net/Decembre2008/Falguerolles.pdf

References

Pedro de Paz Salas and Antonio Alvares. La felicissima armada que elrey Don Felipe nuestro Senor mando juntar enel puerto de la ciudad de Lisboa enel Reyno de Portugal. Lisbon, 1588.

Examples

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data(Armada)
# delete character and redundant variable
armada <- Armada[,-c(1,6)]

armada.pca <- prcomp(armada, scale.=TRUE)
summary(armada.pca)

plot(armada.pca, type="lines", pch=16, cex=2)
biplot(armada.pca)

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