Description Usage Format Source References Examples
This dataset presents 6 paired data corresponding to the grain yields of two wheat varieties grown on pairs of plots.
1 |
A dataframe with 6 rows and 3 columns:
[,1] | Plot | factor | |
[,2] | Variety_1 | numeric | grain yield (bushels per acre) |
[,3] | Variety_2 | numeric | grain yield |
Balaam, N.L. (1972) Fundamentals of Biometry. The Science of Biology Series (ed J.D. Carthy and J.F. Sutcliffe), No3, Allen and Unwin: London.
Preece, D.A. (1982) t is for trouble (and textbooks): a critique of some examples of the paired-samples t-test. The Statistician, 31 (2), 169-195.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | data(Grain2)
# A very small data set
print(Grain2)
# The paired t test is the test of the differences
with(Grain2,t.test(Variety_1,Variety_2,paired=TRUE))
with(Grain2,t.test(Variety_1-Variety_2))
# The data are actually rounded to the nearest integer
# So they can be somewhere between +0.5 or -0.5
# and thus the differences between +1 or -1
# The possible t values can be simulated by:
simulating.t<-numeric(1000)
for(i in 1:1000){
simulating.t[i]<-with(Grain2,t.test(Variety_1-Variety_2+runif(6,-1,1)))$stat
}
hist(simulating.t)
abline(v=with(Grain2,t.test(Variety_1-Variety_2))$stat,lty=2)
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