Nothing
diffvariance.unknown.test <- function(x1 = NULL, x2 = NULL, sc1 = NULL, sc2 = NULL, n1 = NULL, n2 = NULL,
alternative = alternative, alpha = 0.05, plot = TRUE, lwd = 1) {
if(!is.null(x1)){
# if(!is.null(sc1)){warning("As sample1 is provided, 'sc1' is omitted and computed from the sample")}
n1=length(x1);sc1=sd(x1)
}
if(!is.null(x2)){
# if(!is.null(sc2)){warning("As sample2 is provided, 'sc2' is omitted and computed from the sample")}
n2=length(x2);sc2=sd(x2)
}
if (n1 <= 2L) stop("To have enough observations 'n1' must be an integer bigger than 2")
if (n2 <= 2L) stop("To have enough observations 'n2' must be an integer bigger than 2")
if (!is.null(x1)) Sx2 <- var(x1)
else Sx2 <- sc1^2
if (!is.null(x2)) Sy2 <- var(x2)
else Sy2 <- sc2^2
DNAME <- paste0(Sx2, ", with sample size ", deparse(substitute(n1)), ", and ",
Sy2, ", with sample size ", deparse(substitute(n2)))
NVAL <- 1
# Statistic and pvalue
STATISTIC <- Sx2 / Sy2
if (alternative == "two.sided")
PVALUE <- 2 * min(pf(STATISTIC, n1 - 1, n2 - 1), pf(STATISTIC, n1 - 1, n2 - 1, lower.tail = FALSE))
else
PVALUE <- pf(STATISTIC, n1 - 1, n2 - 1, lower.tail = (alternative == "less"))
# Reject Region
RR <- paste0("RR = ", switch(alternative,
two.sided = paste0("[0, ", round(qf(alpha/2, n1 - 1, n2 - 1), 5), "] U [",
round(qf(1 - alpha/2, n1 - 1, n2 - 1), 5), ", +\U221E)"),
greater = paste0("[", round(qf(1 - alpha, n1 - 1, n2 - 1), 5), ", +\U221E)"),
less = paste0("[0, ", round(qf(alpha, n1 - 1, n2 - 1), 5), "]")))
# Plot
if (plot) {
## Plot statistic distribution
quantf <- qf(c(0.95,0.999), df1 = n1 - 1, df2 = n2 - 1)
maxlimx <- max(ifelse(abs(diff(quantf))<10, quantf[2], quantf[1]), STATISTIC)
minlimx <- min(qf(0.001, n1 - 1, n2 - 1), STATISTIC)
curve(df(x, n1 - 1, n2 - 1), from = minlimx, to = maxlimx,
main = bquote(T ~ "follows" ~ "F"[.(n1-1)][","][.(n2-1)]), axes = FALSE, xlab = "", ylab = "", lwd = lwd)
u <- par("usr") # x0, x1, y0, y1
rect(u[1], 0, u[2], u[4])
xlimlen <- (u[2] - u[1])
axis(2)
legend("topright", c("p-value", "RR"), bty = "n", pch = c(22,NA), lty = c(NA,1), lwd = c(1,2),
col = c("blue", "red"), pt.bg = adjustcolor('blue', alpha.f = 0.25), pt.cex = 2, seg.len = 1, cex = 1)
if (alternative == "two.sided") {
abline(h = 0, lwd = lwd + 1)
lines(c(u[1], qf(alpha / 2, n1 - 1, n2 - 1)), c(0,0), col = "red", lwd = lwd + 1)
lines(c(qf(1 - alpha / 2, n1 - 1, n2 - 1), u[2]), c(0,0), col = "red", lwd = lwd + 1)
axis(1, pos = 0, col = NA, col.ticks = 1,
at = c(0, STATISTIC),
labels = c(0, expression('T'[obs])))
mtext("=", side = 1, line = 1.6, at = STATISTIC, las = 2)
mtext(round(STATISTIC, 2), side = 1, line = 2.5, at = STATISTIC)
segments(x0 = c(qf(alpha / 2, n1 - 1, n2 - 1), qf(1 - alpha / 2, n1 - 1, n2 - 1)),
y0 = -u[4]*0.015, y1 = u[4]*0.015, col = "red", lwd = lwd + 1)
segments(x0 = c(qf(alpha / 2, n1 - 1, n2 - 1), qf(1 - alpha / 2, n1 - 1, n2 - 1)),
y0 = rep(c(-u[4]*0.015, u[4]*0.015), each = 2),
x1 = c(qf(alpha / 2, n1 - 1, n2 - 1) - 0.01*xlimlen, qf(1 - alpha / 2, n1 - 1, n2 - 1) + 0.01*xlimlen),
rep(c(-u[4]*0.015, u[4]*0.015), each = 2), col = "red", lwd = lwd + 1)
if (abs(STATISTIC - qf(1 - alpha / 2, n1 - 1, n2 - 1)) > 0.05 * xlimlen &
abs(STATISTIC - qf(alpha / 2, n1 - 1, n2 - 1)) > 0.05 * xlimlen) {
axis(1, pos = 0, col = NA, col.ticks = NA,
at = c(qf(alpha / 2, n1 - 1, n2 - 1), qf(1 - alpha / 2, n1 - 1, n2 - 1)),
labels = c(expression('F'[alpha/2]), expression('F'[1-alpha/2])))
mtext("=", side = 1, line = 1.6, at = c(qf(alpha / 2, n1 - 1, n2 - 1), qf(1 - alpha / 2, n1 - 1, n2 - 1)), las = 2)
mtext(round(qf(alpha / 2, n1 - 1, n2 - 1), 2), side = 1, line = 2.5, at = qf(alpha / 2, n1 - 1, n2 - 1))
mtext(round(qf(1 - alpha / 2, n1 - 1, n2 - 1), 2), side = 1, line = 2.5, at = qf(1 - alpha / 2, n1 - 1, n2 - 1))
}
# pvalue != 0
if (PVALUE > .Machine$double.eps) {
# Statistic right tail
segments(x0 = qf(PVALUE / 2, n1 - 1, n2 - 1, lower.tail = FALSE), y0 = 0,
x1 = qf(PVALUE / 2, n1 - 1, n2 - 1, lower.tail = FALSE),
y1 = df(qf(PVALUE / 2, n1 - 1, n2 - 1, lower.tail = FALSE), n1 - 1, n2 - 1),
col = 'blue', lwd = 1)
x_vector <- seq(qf(PVALUE / 2, n1 - 1, n2 - 1, lower.tail = FALSE), maxlimx, length = 100)
y_vector <- df(x_vector, n1 - 1, n2 - 1)
polygon(c(x_vector, rev(x_vector)), c(y_vector, rep(0, length(y_vector))),
col = adjustcolor('blue', alpha.f = 0.25), border = NA)
# Statistic left tail
segments(x0 = qf(PVALUE / 2, n1 - 1, n2 - 1), y0 = 0,
x1 = qf(PVALUE / 2, n1 - 1, n2 - 1), y1 = df(qf(PVALUE / 2, n1 - 1, n2 - 1), n1 - 1, n2 - 1),
col = 'blue', lwd = 1)
x_vector <- seq(minlimx, qf(PVALUE / 2, n1 - 1, n2 - 1), length = 100)
y_vector <- df(x_vector, n1 - 1, n2 - 1)
polygon(c(x_vector, rev(x_vector)), c(y_vector, rep(0, length(y_vector))),
col = adjustcolor('blue', alpha.f = 0.25), border = NA)
}
} else {
if (alternative == "less") {
abline(h = 0, lwd = lwd + 1)
lines(c(u[1], qf(alpha, n1 - 1, n2 - 1)), c(0,0), col = "red", lwd = lwd + 1)
axis(1, pos = 0, col = NA, col.ticks = 1,
at = c(0, STATISTIC),
labels = c(0, expression('T'[obs])))
segments(x0 = qf(alpha, n1 - 1, n2 - 1), y0 = -u[4]*0.015, y1 = u[4]*0.015, col = "red", lwd = lwd + 1)
segments(x0 = qf(alpha, n1 - 1, n2 - 1), y0 = c(-u[4]*0.015, u[4]*0.015),
x1 = qf(alpha, n1 - 1, n2 - 1) - 0.01*xlimlen, c(-u[4]*0.015, u[4]*0.015), col = "red", lwd = lwd + 1)
if (abs(STATISTIC - qf(alpha, n1 - 1, n2 - 1)) > 0.05 * xlimlen) {
axis(1, pos = 0, col = NA, col.ticks = NA, at = qf(alpha, n1 - 1, n2 - 1), labels = expression('F'[alpha]))
mtext("=", side = 1, line = 1.6, at = qf(alpha, n1 - 1, n2 - 1), las = 2)
mtext(round(qf(alpha, n1 - 1, n2 - 1), 2), side = 1, line = 2.5, at = qf(alpha, n1 - 1, n2 - 1))
}
} else {
abline(h = 0, lwd = lwd + 1)
lines(c(qf(1 - alpha, n1 - 1, n2 - 1), u[2]), c(0,0), col = "red", lwd = lwd + 1)
axis(1, pos = 0, col = NA, col.ticks = 1,
at = c(0, STATISTIC),
labels = c(0, expression('T'[obs])))
segments(x0 = qf(1 - alpha, n1 - 1, n2 - 1), y0 = -u[4]*0.015, y1 = u[4]*0.015, col = "red", lwd = lwd + 1)
segments(x0 = qf(1 - alpha, n1 - 1, n2 - 1), y0 = c(-u[4]*0.015, u[4]*0.015),
x1 = qf(1 - alpha, n1 - 1, n2 - 1) + 0.01*xlimlen, c(-u[4]*0.015, u[4]*0.015), col = "red", lwd = lwd + 1)
if (abs(STATISTIC - qf(1 - alpha, n1 - 1, n2 - 1)) > 0.05 * xlimlen) {
axis(1, pos = 0, col = NA, col.ticks = NA, at = qf(1 - alpha, n1 - 1, n2 - 1), labels = expression('F'[1-alpha]))
mtext("=", side = 1, line = 1.6, at = qf(1 - alpha, n1 - 1, n2 - 1), las = 2)
mtext(round(qf(1 - alpha, n1 - 1, n2 - 1), 2), side = 1, line = 2.5, at = qf(1 - alpha, n1 - 1, n2 - 1))
}
}
# pvalue != 0
if (PVALUE > .Machine$double.eps) {
# Statistic
segments(x0 = STATISTIC, y0 = 0, x1 = STATISTIC, y1 = df(STATISTIC, n1 - 1, n2 - 1),
col = 'blue', lwd = 1)
if (alternative == "less") {
x_vector <- seq(minlimx, STATISTIC, length = 100)
} else {
x_vector <- seq(STATISTIC, maxlimx, length = 100)
}
y_vector <- df(x_vector, n1 - 1, n2 - 1)
polygon(c(x_vector, rev(x_vector)), c(y_vector, rep(0, length(y_vector))),
col = adjustcolor('blue', alpha.f = 0.25), border = NA)
mtext("=", side = 1, line = 1.6, at = STATISTIC, las = 2)
mtext(round(STATISTIC, 2), side = 1, line = 2.5, at = STATISTIC)
}
}
}
##---------------------------------------------
METHOD <- "Test for the ratio of population variances with unknown population means"
DISTNAME <- "\U2208 F_{n\U2081-1,n\U2082-1}"
STATFORMULA <- "Sc\U2081\U00B2 / Sc\U2082\U00B2"
ESTIMATE <- setNames(Sx2/Sy2, "\U03C3\U2081\U00B2 / \U03C3\U2082\U00B2")
PARAMETER <- c("num df" = n1 - 1, "denom df" = n2 - 1)
names(NVAL) <- names(ESTIMATE)
names(STATISTIC) <- "T"
RVAL <- list(
statistic = STATISTIC,
parameter = PARAMETER,
p.value = as.numeric(PVALUE),
estimate = ESTIMATE,
null.value = NVAL,
alternative = alternative,
method = METHOD,
data.name = DNAME,
alpha = alpha,
dist.name = DISTNAME,
statformula = STATFORMULA,
reject.region = RR
)
class(RVAL) <- c("lstest", "htest")
return(RVAL)
}
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