feet | R Documentation |
This data set was collected by the first author in a fourth grade classroom in Ann Arbor, MI, October 1997. We use the shapereg function to make a shape-restricted fit to this data set. "Width" is a continuous response variable, "length" is a continuous predictor variable, and "sex" is a categorical covariate. The constraint is that "width" is increasing with respect to "length".
data(feet)
A data frame with 39 observations on the following 8 variables.
name
First name of child.
month
Birth month.
year
Birth year.
length
Length of longer foot (cm).
width
Width of longer foot (cm), measured at widest part of foot.
sex
Boy or girl.
foot
Foot measured (right or left).
hand
Right- or left-handedness.
Meyer, M. C. (2006) Wider Shoes for Wider Feet? Journal of Statistics Education Volume 14, Number 1.
data(feet)
l <- feet$length
w <- feet$width
s <- feet$sex
plot(l, w, type = "n", xlab = "Foot Length (cm)", ylab = "Foot Width (cm)")
points(l[s == "G"], w[s == "G"], pch = 24, col = 2)
points(l[s == "B"], w[s == "B"], pch = 21, col = 4)
legend("topleft", bty = "n", c("Girl", "Boy"), pch = c(24, 21), col = c(2, 4))
title("Kidsfeet Width vs Length Scatterplot")
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