Berkeley Growth Study Data
The data set contains the heights of 39 boys and 54 girls from age 1 to 18 and the ages at which they were collected.
dataf.growth()
The functional data as a data structure.
datafThe functional data as a list of objects. Each object is characterized by two coordinates
argsage - a numeric vector of length 31 giving the ages at which the heights were measured
valsheight - a numeric vector of heights in centimeters of 39 boys and 54 girls
labelsThe classes of the objects: boy, girl
The ages are not equally spaced.
Ramsay, James O., and Silverman, Bernard W. (2006), Functional Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York, ch. 6.
Tuddenham, R. D., and Snyder, M. M. (1954) "Physical growth of California boys and girls from birth to age 18", University of California Publications in Child Development, 1, 183-364.
dataf.* for other functional data sets
plot.functional for building plots of functional data
## load the Growth dataset
dataf = dataf.growth()
## view the classes
unique(dataf$labels)
## access the 5th point of the 2nd object
dataf$dataf[[2]]$args[5]
dataf$dataf[[2]]$vals[5]
## plot the data
## Not run:
labels = unlist(dataf$labels)
plot(dataf,
main = paste("Growth: girls red (", sum(labels == "girl"), "),",
" boys blue (", sum(labels == "boy"), ")", sep=""),
xlab="Year", ylab="Height, cm",
colors = c("blue", "red") # in alphabetical order of class labels
)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.