Performs a Quade test with unreplicated blocked data.
1 2 3 4 5 6 7  quade.test(y, ...)
## Default S3 method:
quade.test(y, groups, blocks, ...)
## S3 method for class 'formula'
quade.test(formula, data, subset, na.action, ...)

y 
either a numeric vector of data values, or a data matrix. 
groups 
a vector giving the group for the corresponding elements
of 
blocks 
a vector giving the block for the corresponding elements
of 
formula 
a formula of the form 
data 
an optional matrix or data frame (or similar: see

subset 
an optional vector specifying a subset of observations to be used. 
na.action 
a function which indicates what should happen when
the data contain 
... 
further arguments to be passed to or from methods. 
quade.test
can be used for analyzing unreplicated complete
block designs (i.e., there is exactly one observation in y
for each combination of levels of groups
and blocks
)
where the normality assumption may be violated.
The null hypothesis is that apart from an effect of blocks
,
the location parameter of y
is the same in each of the
groups
.
If y
is a matrix, groups
and blocks
are obtained
from the column and row indices, respectively. NA
's are not
allowed in groups
or blocks
; if y
contains
NA
's, corresponding blocks are removed.
A list with class "htest"
containing the following components:
statistic 
the value of Quade's F statistic. 
parameter 
a vector with the numerator and denominator degrees of freedom of the approximate F distribution of the test statistic. 
p.value 
the pvalue of the test. 
method 
the character string 
data.name 
a character string giving the names of the data. 
D. Quade (1979), Using weighted rankings in the analysis of complete blocks with additive block effects. Journal of the American Statistical Association 74, 680–683.
William J. Conover (1999), Practical nonparametric statistics. New York: John Wiley & Sons. Pages 373–380.
friedman.test
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  ## Conover (1999, p. 375f):
## Numbers of five brands of a new hand lotion sold in seven stores
## during one week.
y < matrix(c( 5, 4, 7, 10, 12,
1, 3, 1, 0, 2,
16, 12, 22, 22, 35,
5, 4, 3, 5, 4,
10, 9, 7, 13, 10,
19, 18, 28, 37, 58,
10, 7, 6, 8, 7),
nrow = 7, byrow = TRUE,
dimnames =
list(Store = as.character(1:7),
Brand = LETTERS[1:5]))
y
quade.test(y)

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