Nothing
"tau34sq.normtest" <-
function(x, alpha=0.05, pvalue.only=FALSE, getlist=TRUE,
useHoskingZt4=TRUE, verbose=FALSE, digits=4) {
n <- length(x)
lmr <- lmoms(x); T3 <- lmr$ratios[3]; T4 <- lmr$ratios[4]
Zt3 <- T3 * (1/sqrt(exp(log(0.1866) - log(n)) + exp(log(0.8) - 2*log(n))))
Zt4 <- exp(log(0.0883) - log(n))
if(useHoskingZt4) Zt4 <- Zt4 + exp(log(0.68) - 2*log(n)) + exp(log(4.9) - 3*log(n))
Zt4 <- (T4 - 0.1226) * (1/sqrt(Zt4))
t34sq <- Zt3^2 + Zt4^2
chiSQ <- pchisq(t34sq, df=2)
pvalue <- 1 - chiSQ
t34sqrd <- round(t34sq, digits=digits)
chiSQrd <- round(chiSQ, digits=digits)*100
pvaluerd <- round(pvalue, digits=digits)
Zt3rd <- round(Zt3, digits=digits)
Zt4rd <- round(Zt4, digits=digits)
issig <- ifelse(pvalue <= alpha, TRUE, FALSE)
txt <- ifelse(issig, "<= alpha: reject Ho, conclude 'non-normal data'.",
"> alpha: accept Ho, conclude 'normal data'.")
if(verbose) {
message("\n *** Harri-Coble Tau34-squared Test for Normality ***\n")
message(" --A normality test using sample L-skew (T3) and L-kurtosis (T4)--\n")
if(! useHoskingZt4) {
message("Warning: Hosking's personal approximation for Z-score(L-kurtosis) is *NOT* being used.\n")
}
message(" Z-score(T3) = ", Zt3rd, " and Z-score(T4) = ", Zt4rd)
message(" (Mapping of T3 and T4 to standard normal variates)\n")
message(" Tau34-squared test statistic, T34sq = Z(T3)^2 + Z(T4)^2")
message(" (A squared Euclidean distance that is Chi-Squared(df=2) distributed.)")
message(" T34sq = ", t34sqrd ," |--> ChiSquared(T34sq, df=2) = pchisq(T34sq, df=2)\n")
message(" ChiSquared(", t34sqrd, ", 2 degrees freedom) = ", chiSQrd, " percentile\n", appendLF = FALSE)
message(" p-value = ",pvaluerd," [complement of the pchisq(T34sq, df=2, lower.tail=TRUE)]")
message(" The p-value is ",txt,"\n")
message(" Reference:")
message(" Harri, A. and Coble, K.H., 2011, Normality testing---\n",
" Two new tests using L-moments: J. Appl. Stat. 38(7), 1369-1379.\n")
}
if(pvalue.only) return(pvalue)
if(getlist) {
z <- list(SampleTau3=T3, SampleTau4=T4,
Ztau3=Zt3, Ztau4=Zt4, Tau34sq=t34sq,
ChiSq.2df=chiSQ, pvalue=pvalue, p.value=pvalue, isSig=issig,
source="tau34sq.normtest")
return(as.data.frame(z, row.names="Harri-Coble test"))
}
return(ifelse(issig, TRUE, FALSE))
}
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