Description Usage Format Source References See Also Examples
Raw data from the Bumpus
(1899) study on morphological selection in sparrows. Humerus length, femur length, tibiotarsus length, skull width, and sternum keel length were originally in inches, but are converted to millimeters in this version in order to make the units of scale congruent amongst the traits. Bumpus (1899) analyzed the females and males separately, so this subset includes only the data from the females. BumpusFemales
contains the following variables:
w
relative fitness, based on survival for only females pooled together.
W
absolute fitness, based on survival for only females pooled together.
TotalLength_mm
length from the tip of the beak to the tip of the tail in millimeters.
AlarExtent_mm
length of the wing span, from the tip of the left wing to the tip of the right wing in millimeters.
Weight_g
total weight in grams.
SkullL_mm
length of the skull, from the tip of the beak to the occiput in millimeters.
HumerusL_mm
length of the humerus (upper arm bone) in millimeters.
FemurL_mm
length of the femur (thigh bone) in millimeters.
TibioTarL_mm
length of the tibiotarsus (lower leg bone) in millimeters.
SkullW_mm
width of the skull, from the left postorbital bone to the right postorbital bone, in millimeters.
SternumL_mm
length of the keel of the sternum in millimeters.
Sex
sex of the individual (1 = male, 0 = female).
AgeGroup
ontogenetic age group (1 = adult, 0 = young, NA = not available).
1 |
data.frame with 49 observations and 13 variables
A spreadsheet of the morphological data was obtained from the Field Museum: http://www.fieldmuseum.org/science/blog/hermon-bumpus-and-house-sparrows, with measurements in inches converted to millimeters.
Bumpus, H.C. 1899. The elimination of the unfit as illustrated by the introduced sparrow, Passer domesticus. Biol. Lectures, Woods Hole Marine Biol. Station: 209-226.
1 2 3 4 5 6 7 8 | # Load the data
data(BumpusFemales)
# Look at the structure of the data.frame
str(BumpusFemales)
# Run a linear regression with w as the response and the morphological traits as the predictors
lm(w ~ ., data=BumpusFemales[,c(1,3:11)])
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