Data from a completely randomized design where four different methods of growing corn resulted in various yields per acre on various plots of ground where the four methods were tried. Ordinarily, only one statistical analysis is used, but here we will use the kuskal-wallis test so that a rough comparison may be made with the mediasn test.
The observations are ranked from the smallest, 77, of rank 1 to the largest 101, of rank N=34. Ties values receive the averarge rank.
data(corn)
A data.frame with 34 observations on the following 3 variables.
@details
method method
v observation
rx rx
E9 infestans percentage to 9 days
AUDPC the area under the disease-progress curve
Relative relative area
Book: Practical Nonparametric Statistics.
Practical Nonparametrics Statistics. W.J. Conover. Third Edition, 1999.
#> 'data.frame': 34 obs. of 3 variables: #> $ method : int 1 1 1 1 1 1 1 1 1 2 ... #> $ observation: int 83 91 94 89 89 96 91 92 90 91 ... #> $ rx : num 11 23 28.5 17 17 31.5 23 26 19.5 23 ...