| Location tests {SpatialNP} | R Documentation |
Spatial sign and rank tests of multivariate location
Description
Multivariate tests of location of one or more samples based on spatial signs and (signed) ranks. In case of one sample the null hypothesis about a given location is tested. In case of several samples the null hypothesis is that all samples have the same location.
Usage
sr.loc.test(X, Y = NULL, g = NULL, score = c("sign", "rank"),
nullvalue = NULL, cond = FALSE, cond.n = 1000,
na.action = na.fail,...) Arguments
X |
a matrix or a data frame |
Y |
an optional matrix or a data frame |
g |
a factor giving the groups (may contain just one level) |
score |
a character string indicating which transformation of the observations should be used |
nullvalue |
location to be tested in the one sample case (ignored if there is more than one sample) |
cond |
logical. Should the conditionally distribution free test be used? (Ignored if |
cond.n |
number of permutations to use in the conditionally distribution free test |
na.action |
a function which indicates what should happen when the data contain 'NA's. Default is to fail. |
... |
further arguments to be passed to other functions |
Details
X should contain the the whole data set and g should describe the groups, or, if there is only one group, g may be missing. Alternatively, if there are two samples X may contain only the first sample while the second sample is given in Y and g is ignored. Note that in the one sample case when rank is chosen as score the function in fact uses signed ranks.
Note that the conditionally distribution free p-value is only provided for the sign based version of the test.
Value
A list with class 'htest' containing the following components:
statistic |
the value of the statistic |
parameter |
the degrees of freedom for the statistic or the number of replications if conditionally distribution free p-value was used |
p.value |
the p-value for the test |
null.value |
the specified hypothesized value of the (common) location |
alternative |
a character string with the value 'two.sided'. |
method |
a character string indicating what type of test was performed |
data.name |
a character string giving the name of the data (and grouping vector) |
Author(s)
Seija Sirkia, seija.sirkia@iki.fi
References
Oja, H., Randles R. (2004) Multivariate Nonparametric Tests. Statistical Science 19, 598-605.
See Also
Examples
A<-matrix(c(1,2,-3,4,3,-2,-1,0,4),ncol=3)
X<-rbind(matrix(rnorm(1500),ncol=3),matrix(rnorm(750)+1,ncol=3))%*%t(A)
sr.loc.test(X,cond=TRUE)
X[1:250,]<-X[1:250,]+1
g<-factor(rep(c(1,2,3),each=250))
sr.loc.test(X,g=g,score="rank")