> And since I don't have the experience, the only way to gain it is by
> learning from those with practice reading chicken entrails.
This can be hard on the chicken population.
Try comparing QQ plots for simulated random data from different distributions
with something more immediately interpretable on the measurement scale, such
as dot plots, box plots and density plots. That should add up to a fair bit of
experience quite quickly.
#Example
par(mfrow=c(1,2))
qqnorm(x<-rlnorm(200, 1,0.5))
qqline(x)
plot(density(x))
qqnorm(x<-rnorm(200, sample(c(0,4), 200, replace=TRUE))) #bimodal
qqline(x)
plot(density(x))
and so on.
Notice that qqnorm's vertical scale by defult corresponds to the horizontal
scale in density plots and stripcharts. I personally prefer datax=TRUE, but
really that's only a choice about whether to face north or east when reading
the entrails.
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