qqunif <- function(x, ...){
UseMethod("qqunif")
}
qqunif.default <- function(x, min = 0, max = 1, ...){
DF <- data.frame(sample = x)
dps <- list(min = min, max = max)
gg <- ggplot(DF, aes_string(sample = "sample")) +
stat_qq_point(distribution = "unif", dparams = dps) +
stat_qq_band(distribution = "unif", dparams = dps) +
qqplotr::stat_qq_line(distribution = "unif", dparams = dps) +
labs(x = "Theoretical Quantiles", y = "Sample Quantiles")
gg
}
qqunif.sim.power.ttest <- function(x, color.line = "orange", shape = 19, size = 1,
alpha = 1, ...){
iter <- x$SetUp$iter
sig.level <- x$SetUp$sig.level
DF <- data.frame(pvalue = c(x$Classical$H1$pvalue,
x$Welch$H1$pvalue,
x$Hsu$H1$pvalue),
test = c(rep("Classical two-sample t-test", iter),
rep("Welch two-sample t-test", iter),
rep("Hsu two-sample t-test", iter)),
hypothesis = rep("H1", 3*iter))
if(!is.null(x$Classical$H0)){
DF1 <- data.frame(pvalue = c(x$Classical$H0$pvalue,
x$Welch$H0$pvalue,
x$Hsu$H0$pvalue),
test = c(rep("Classical two-sample t-test", iter),
rep("Welch two-sample t-test", iter),
rep("Hsu two-sample t-test", iter)),
hypothesis = rep("H0", 3*iter))
DF <- rbind(DF, DF1)
}
DF$test <- factor(DF$test, levels = c("Classical two-sample t-test",
"Welch two-sample t-test",
"Hsu two-sample t-test"))
if(!is.null(x$Classical$H0)){
Lab <- round(c(sum(x$Classical$H1$pvalue < sig.level)/iter,
sum(x$Welch$H1$pvalue < sig.level)/iter,
sum(x$Hsu$H1$pvalue < sig.level)/iter,
sum(x$Classical$H0$pvalue < sig.level)/iter,
sum(x$Welch$H0$pvalue < sig.level)/iter,
sum(x$Hsu$H0$pvalue < sig.level)/iter), 4)
Lab[1:3] <- paste("emp. power:", Lab[1:3])
Lab[4:6] <- paste("emp. type-I-error:", Lab[4:6])
DF.text <- data.frame(test = rep(c("Classical two-sample t-test",
"Welch two-sample t-test",
"Hsu two-sample t-test"), 2),
hypothesis = c(rep("H1", 3), rep("H0", 3)),
label = Lab)
gg <- ggplot(DF, aes_string(sample = "pvalue")) +
stat_qq_point(distribution = "unif", shape = shape, size = size, alpha = alpha) +
# stat_qq_band(distribution = "unif", color = "red") +
qqplotr::stat_qq_line(distribution = "unif", color = color.line) +
geom_text(data = DF.text, aes_string(x = 0.5, y = Inf, label = "label"),
vjust = 2, inherit.aes = FALSE) +
labs(x = "Theoretical Quantiles", y = "Sample Quantiles") +
facet_grid(hypothesis ~ test, scales = "free_y")
}else{
Lab <- round(c(sum(x$Classical$H1$pvalue < sig.level)/iter,
sum(x$Welch$H1$pvalue < sig.level)/iter,
sum(x$Hsu$H1$pvalue < sig.level)/iter), 4)
Lab <- paste("emp. power:", Lab)
DF.text <- data.frame(test = c("Classical two-sample t-test",
"Welch two-sample t-test",
"Hsu two-sample t-test"),
hypothesis = rep("H1", 3),
label = Lab)
gg <- ggplot(DF, aes_string(sample = "pvalue")) +
stat_qq_point(distribution = "unif", shape = shape, size = size, alpha = alpha) +
# stat_qq_band(distribution = "unif", color = "red") +
qqplotr::stat_qq_line(distribution = "unif", color = color.line) +
geom_text(data = DF.text, aes_string(x = 0.5, y = Inf, label = "label"),
vjust = 2, inherit.aes = FALSE) +
labs(x = "Theoretical Quantiles", y = "Sample Quantiles") +
facet_grid(~ test)
}
gg
}
qqunif.sim.power.wtest <- function(x, color.line = "orange", shape = 19, size = 1,
alpha = 1, ...){
iter <- x$SetUp$iter
sig.level <- x$SetUp$sig.level
approximate <- x$SetUp$approximate
if(approximate){
DF <- data.frame(pvalue = c(x$Exact$H1$pvalue,
x$Asymptotic$H1$pvalue,
x$Approximate$H1$pvalue),
test = c(rep("Exact Wilcoxon-Mann-Whitney test", iter),
rep("Asymptotic Wilcoxon-Mann-Whitney test", iter),
rep("Approximate Wilcoxon-Mann-Whitney test", iter)),
hypothesis = rep("H1", 3*iter))
}else{
DF <- data.frame(pvalue = c(x$Exact$H1$pvalue,
x$Asymptotic$H1$pvalue),
test = c(rep("Exact Wilcoxon-Mann-Whitney test", iter),
rep("Asymptotic Wilcoxon-Mann-Whitney test", iter)),
hypothesis = rep("H1", 2*iter))
}
if(!is.null(x$Exact$H0)){
if(approximate){
DF1 <- data.frame(pvalue = c(x$Exact$H0$pvalue,
x$Asymptotic$H0$pvalue,
x$Approximate$H0$pvalue),
test = c(rep("Exact Wilcoxon-Mann-Whitney test", iter),
rep("Asymptotic Wilcoxon-Mann-Whitney test", iter),
rep("Approximate Wilcoxon-Mann-Whitney test", iter)),
hypothesis = rep("H0", 3*iter))
}else{
DF1 <- data.frame(pvalue = c(x$Exact$H0$pvalue,
x$Asymptotic$H0$pvalue),
test = c(rep("Exact Wilcoxon-Mann-Whitney test", iter),
rep("Asymptotic Wilcoxon-Mann-Whitney test", iter)),
hypothesis = rep("H0", 2*iter))
}
DF <- rbind(DF, DF1)
}
if(approximate){
DF$test <- factor(DF$test, levels = c("Exact Wilcoxon-Mann-Whitney test",
"Asymptotic Wilcoxon-Mann-Whitney test",
"Approximate Wilcoxon-Mann-Whitney test"))
}else{
DF$test <- factor(DF$test, levels = c("Exact Wilcoxon-Mann-Whitney test",
"Asymptotic Wilcoxon-Mann-Whitney test"))
}
if(!is.null(x$Exact$H0)){
if(approximate){
Lab <- round(c(sum(x$Exact$H1$pvalue < sig.level)/iter,
sum(x$Asymptotic$H1$pvalue < sig.level)/iter,
sum(x$Approximate$H1$pvalue < sig.level)/iter,
sum(x$Exact$H0$pvalue < sig.level)/iter,
sum(x$Asymptotic$H0$pvalue < sig.level)/iter,
sum(x$Approximate$H0$pvalue < sig.level)/iter), 4)
Lab[1:3] <- paste("emp. power:", Lab[1:3])
Lab[4:6] <- paste("emp. type-I-error:", Lab[4:6])
DF.text <- data.frame(test = rep(c("Exact Wilcoxon-Mann-Whitney test",
"Asymptotic Wilcoxon-Mann-Whitney test",
"Approximate Wilcoxon-Mann-Whitney test"), 2),
hypothesis = c(rep("H1", 3), rep("H0", 3)),
label = Lab)
}else{
Lab <- round(c(sum(x$Exact$H1$pvalue < sig.level)/iter,
sum(x$Asymptotic$H1$pvalue < sig.level)/iter,
sum(x$Exact$H0$pvalue < sig.level)/iter,
sum(x$Asymptotic$H0$pvalue < sig.level)/iter), 4)
Lab[1:2] <- paste("emp. power:", Lab[1:2])
Lab[3:4] <- paste("emp. type-I-error:", Lab[3:4])
DF.text <- data.frame(test = rep(c("Exact Wilcoxon-Mann-Whitney test",
"Asymptotic Wilcoxon-Mann-Whitney test"), 2),
hypothesis = c(rep("H1", 2), rep("H0", 2)),
label = Lab)
}
gg <- ggplot(DF, aes_string(sample = "pvalue")) +
stat_qq_point(distribution = "unif", shape = shape, size = size, alpha = alpha) +
# stat_qq_band(distribution = "unif", color = "red") +
qqplotr::stat_qq_line(distribution = "unif", color = color.line) +
geom_text(data = DF.text, aes_string(x = 0.5, y = Inf, label = "label"),
vjust = 2, inherit.aes = FALSE) +
labs(x = "Theoretical Quantiles", y = "Sample Quantiles") +
facet_grid(hypothesis ~ test, scales = "free_y")
}else{
if(approximate){
Lab <- round(c(sum(x$Exact$H1$pvalue < sig.level)/iter,
sum(x$Asymptotic$H1$pvalue < sig.level)/iter,
sum(x$Approxmiate$H1$pvalue < sig.level)/iter), 4)
Lab <- paste("emp. power:", Lab)
DF.text <- data.frame(test = c("Exact Wilcoxon-Mann-Whitney test",
"Asymptotic Wilcoxon-Mann-Whitney test",
"Approximate Wilcoxon-Mann-Whitney test"),
hypothesis = rep("H1", 3),
label = Lab)
}else{
Lab <- round(c(sum(x$Exact$H1$pvalue < sig.level)/iter,
sum(x$Asymptotic$H1$pvalue < sig.level)/iter), 4)
Lab <- paste("emp. power:", Lab)
DF.text <- data.frame(test = c("Exact Wilcoxon-Mann-Whitney test",
"Asymptotic Wilcoxon-Mann-Whitney test"),
hypothesis = rep("H1", 2),
label = Lab)
}
gg <- ggplot(DF, aes_string(sample = "pvalue")) +
stat_qq_point(distribution = "unif", shape = shape, size = size, alpha = alpha) +
# stat_qq_band(distribution = "unif", color = "red") +
qqplotr::stat_qq_line(distribution = "unif", color = color.line) +
geom_text(data = DF.text, aes_string(x = 0.5, y = Inf, label = "label"),
vjust = 2, inherit.aes = FALSE) +
labs(x = "Theoretical Quantiles", y = "Sample Quantiles") +
facet_grid(~ test)
}
gg
}
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