View source: R/vark_1960Levene.R
vark.1960Levene | R Documentation |
Given univariate samples X_1~,…,~X_k, it tests
H_0 : σ_1^2 = \cdots σ_k^2\quad vs\quad H_1 : \textrm{at least one equality does not hold}
using the procedure by Levene (1960).
vark.1960Levene(dlist)
dlist |
a list of length k where each element is a sample vector. |
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.
levene_robust_1960SHT
## CRAN-purpose small example small1d = list() for (i in 1:5){ # k=5 sample small1d[[i]] = rnorm(20) } vark.1960Levene(small1d) # run the test ## test when k=5 (samples) ## empirical Type 1 error niter = 1000 counter = rep(0,niter) # record p-values for (i in 1:niter){ mylist = list() for (j in 1:5){ mylist[[j]] = rnorm(50) } counter[i] = ifelse(vark.1960Levene(mylist)$p.value < 0.05, 1, 0) } ## print the result cat(paste("\n* Example for 'vark.1960Levene'\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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