\donttest{
result <- fastcpd.mean(transcriptome$"10", trim = 0.005)
summary(result)
plot(result)

result_all <- fastcpd.mean(
  transcriptome,
  beta = (ncol(transcriptome) + 1) * log(nrow(transcriptome)) / 2 * 5,
  trim = 0
)

plots <- lapply(
  seq_len(ncol(transcriptome)), function(i) {
    ggplot2::ggplot(
      data = data.frame(
        x = seq_along(transcriptome[, i]), y = transcriptome[, i]
      ),
      ggplot2::aes(x = x, y = y)
    ) +
      ggplot2::geom_line(color = "blue") +
      ggplot2::geom_vline(
        xintercept = result_all@cp_set,
        color = "red",
        linetype = "dotted",
        linewidth = 0.5,
        alpha = 0.7
      ) +
      ggplot2::theme_void()
  }
)

gridExtra::grid.arrange(grobs = plots, ncol = 1, nrow = ncol(transcriptome))
}