inst/doc/kSample_test.R

In QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances

## ----srr-tags, eval = FALSE, echo = FALSE-------------------------------------
#  #' srr tags
#  #'
#  #'
#  #' @srrstats {G1.5} k-sample test example in the associated paper

## ----eval=FALSE---------------------------------------------------------------
#  help(kb.test)

## ----message=FALSE, warning=FALSE---------------------------------------------
library(mvtnorm)
library(QuadratiK)
library(ggplot2)
sizes <- rep(50,3)
eps <- 1
set.seed(2468)
x1 <- rmvnorm(sizes[1], mean = c(0,sqrt(3)*eps/3))
x2 <- rmvnorm(sizes[2], mean = c(-eps/2,-sqrt(3)*eps/6))
x3 <- rmvnorm(sizes[3], mean = c(eps/2,-sqrt(3)*eps/6))
x <- rbind(x1, x2, x3)
y <- as.factor(rep(c(1,2,3), times=sizes))

## ----fig.width=6, fig.height=4------------------------------------------------
ggplot(data.frame(x=x, y=y), aes(x = x[,1], y = x[,2], color = y)) +
  geom_point(size = 2) +
  labs(title = "Generated Points", x = "X1", y = "X2") +
  theme_minimal()

## ----fig.width=6, fig.height=4------------------------------------------------
set.seed(2468)
h_k <- select_h(x=x, y=y, alternative="location")

## -----------------------------------------------------------------------------
h_k$h_sel

## -----------------------------------------------------------------------------
set.seed(2468)
k_test <- kb.test(x=x, y=y, h=h_k$h_sel)
show(k_test)

## -----------------------------------------------------------------------------
summary_ktest <- summary(k_test)
summary_ktest$summary_tables

## ----eval=FALSE---------------------------------------------------------------
#  k_test_h <- kb.test(x=x, y=y)

## ----eval=FALSE---------------------------------------------------------------
#  help(select_h)