Compute Murakami's test statistic.
Compute one of the modified Baumgartner-Weiss-Schindler test statistics proposed by Murakami, or Neuhauser.
murakami_stat(x, y, flavor = 0L) murakami_stat_perms(nx, ny, flavor = 0L)
x |
a vector of the first sample. |
y |
a vector of the second sample. |
flavor |
which ‘flavor’ of test statistic. |
nx |
the length of |
ny |
the length of |
Given vectors X and Y, computes B_{jX} and B_{jY} for some j as described by Murakami and by Neuhauser, returning either their their average or their average distance. The test statistics approximate the weighted square norm of the difference in CDFs of the two distributions.
The test statistic is based only on the ranks of the input. If the same monotonic transform is applied to both vectors, the result should be unchanged.
The various ‘flavor’s of test statistic are:
The statistic of Baumgartner-Weiss-Schindler.
Murakami's B_1 statistic, from his 2006 paper.
Neuhauser's difference statistic, denoted by Murakami as B_2 in his 2012 paper.
Murakami's B_3 statistic, from his 2012 paper.
Murakami's B_4 statistic, from his 2012 paper.
Murakami's B_5 statistic, from his 2012 paper, with a log weighting.
The BWS test statistic, B_j. For murakami_stat_perms, a vector of
the test statistics for all permutations of the input.
NA and NaN are not yet dealt with!
Steven E. Pav shabbychef@gmail.com
W. Baumgartner, P. Weiss, H. Schindler, 'A nonparametric test for the general two-sample problem', Biometrics 54, no. 3 (Sep., 1998): pp. 1129-1135. http://doai.io/10.2307/2533862
M. Neuhauser, 'Exact tests based on the Baumgartner-Weiss-Schindler Statistic–a survey', Statistical Papers 46, no. 1 (2005): pp. 1-30. http://doai.io/10.1007/BF02762032
M. Neuhauser, 'One-sided two-sample and trend tests based on a modified Baumgartner-Weiss-Schindler statistic', J. Nonparametric Statistics 13, no. 5 (2001): pp 729-739. http://doai.io/10.1080/10485250108832874
H. Murakami, 'K-sample rank test based on modified Baumgartner statistic and its power comparison', J. Jpn. Comp. Statist. 19, no. 1 (2006): pp. 1-13. http://doai.io/10.5183/jjscs1988.19.1
H. Murakami, 'Modified Baumgartner Statistics for the two-sample and multisample problems: a numerical comparison', J. Stat. Comp. and Sim. 82, no. 5 (2012): pp. 711-728. http://doai.io/10.1080/00949655.2010.551516
H. Murakami, 'Lepage type statistic based on the modified Baumgartner statistic', Comp. Stat. & Data Analysis 51 (2007): pp 5061-5067. http://doai.io/10.1016/j.csda.2006.04.026
set.seed(1234) x <- runif(1000) y <- runif(100) bval <- murakami_stat(x,y,1) ## Not run: nx <- 6 ny <- 5 # monte carlo set.seed(1234) repli <- replicate(3000,murakami_stat(rnorm(nx),rnorm(ny),0L)) # under the null, perform the permutation test: allem <- murakami_stat_perms(nx,ny,0L) plot(ecdf(allem)) lines(ecdf(repli),col='red') ## End(Not run)
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