Armada {HistData} | R Documentation |
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
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), http://www.jehps.net/Decembre2008/Falguerolles.pdf
References
Pedro de Paz Salas and Antonio Alvares. La felicisima armada que elrey Don Felipe nuestro Senor mando juntar enel puerto de la ciudad de Lisboa enel Reyno de Portugal. Lisbon, 1588.
Examples
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)