View source: R/utility_useknd.R
useknd | R Documentation |
Any k-sample method implies that it can be used for
a special case of k=2. useknd
lets any k-sample tests
provided in this package be used with two multivariate samples X and Y.
useknd(X, Y, test.name, ...)
X |
an (n_x \times p) data matrix of 1st sample. |
Y |
an (n_y \times p) data matrix of 2nd sample. |
test.name |
character string for the name of k-sample test to be used. |
... |
extra arguments passed onto the function |
a (list) object of S3
class htest
containing:
a test statistic.
p-value under H_0.
alternative hypothesis.
name of the test.
name(s) of provided sample data.
## use 'covk.2007Schott' for two-sample covariance testing ## empirical Type 1 error niter = 1000 counter = rep(0,niter) # record p-values for (i in 1:niter){ X = matrix(rnorm(50*5), ncol=10) Y = matrix(rnorm(50*5), ncol=10) counter[i] = ifelse(useknd(X,Y,"covk.2007Schott")$p.value < 0.05, 1, 0) } ## print the result cat(paste("\n* Example for 'covk.2007Schott'\n","*\n", "* number of rejections : ", sum(counter),"\n", "* total number of trials : ", niter,"\n", "* empirical Type 1 error : ",round(sum(counter/niter),5),"\n",sep=""))
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