puffin {ipsRdbs}

Puffin nesting data set. It contains data regarding nesting habits of common puffin

Description

Puffin nesting data set. It contains data regarding nesting habits of common puffin

Usage

puffin

Format

A data frame with 38 rows and 5 columns:

Nesting_Frequency

Number of nests

Grass_Cover

Percentage of area covered by grass

Mean_Soil_Depth

Mean soil depth in centimeter

Slope_Angle

Slope angle in degrees

Distance_from_Edge

Distance of the plot from the cliff edge in meter

Source

Nettleship (1972).

References

Nettleship DN (1972). “Breeding Success of the Common Puffin (Fratercula arctica L.) on Different Habitats at Great Island, Newfoundland.” Ecological Monographs, 42, 239-268.

Examples

head(puffin)
dim(puffin)
summary(puffin)
pairs(puffin)
puffin$sqrtfreq <- sqrt(puffin$Nesting_Frequency)
puff.sqlm <- lm(sqrtfreq~ Grass_Cover + Mean_Soil_Depth + Slope_Angle 
+Distance_from_Edge, data=puffin) 
old.par <- par(no.readonly = TRUE)
par(mfrow=c(2,1))
qqnorm(puff.sqlm$res,main="Normal probability plot", col=2)
qqline(puff.sqlm$res, col="blue")
plot(puff.sqlm$fit, puff.sqlm$res,xlab="Fitted values",ylab="Residuals", 
main="Anscombe plot")
abline(h=0)
summary(puff.sqlm)
par(old.par)
#####################################
# F test for two betas at the  same time: 
######################################
puff.sqlm2 <- lm(sqrtfreq~ Mean_Soil_Depth + Distance_from_Edge, data=puffin) 
anova(puff.sqlm)
anova(puff.sqlm2)
fval <-  1/2*(14.245-12.756)/0.387 # 1.924 
qf(0.95, 2, 33) # 3.28
1-pf(fval, 2, 33) # 0.162
anova(puff.sqlm2, puff.sqlm)