## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(
  echo = TRUE, comment = "#>",
  fig.width = 7, fig.height = 6
)
pacman::p_load(dplyr, tidyr, MASS, mgcv, ggplot2, gridExtra)
set.seed(1)

## ----load---------------------------------------------------------------------
pacman::p_load(detrendr, ijtiff)

## ----read---------------------------------------------------------------------
path <- system.file("extdata", "2ch100frame.tif", package = "detrendr")
print(path)
my_img <- read_tif(path)

## ----dim----------------------------------------------------------------------
dim(my_img)

## ----plot-mean-profile, echo=FALSE, fig.height=3, message=FALSE---------------
plot_tbl <- tibble(
  frame = seq_len(dim(my_img)[4]),
  channel1 = apply(autothresholdr::mean_stack_thresh(my_img[, , 1, ], "h"), 4,
    mean,
    na.rm = TRUE
  ),
  channel2 = apply(autothresholdr::mean_stack_thresh(my_img[, , 2, ], "h"), 4,
    mean,
    na.rm = TRUE
  )
) %>%
  gather(ch, mean, -frame)
ch2range <- plot_tbl %>%
  filter(ch == "channel2") %>%
  pull(mean) %>%
  range() %>%
  round()
pl <- ggplot(filter(plot_tbl, ch == "channel1"), aes(frame, mean)) +
  geom_smooth(method = "loess", formula = "y ~ x") +
  geom_point() +
  ggtitle("Channel 1") +
  ylim(0.75, 0.95)
pr <- ggplot(filter(plot_tbl, ch == "channel2"), aes(frame, mean)) +
  geom_smooth(method = "loess", formula = "y ~ x") +
  geom_point() +
  ggtitle("Channel 2") +
  ylim(26, 29)
gridExtra::grid.arrange(pl, pr, nrow = 1)

## ----display-mean, echo=FALSE, fig.height=4-----------------------------------
graphics::par(mfrow = c(1, 2))
display(mean_pillars(my_img[, , 1, ]))
display(mean_pillars(my_img[, , 2, ]))

## ----display-thresholded-mean, echo=FALSE, fig.height=4-----------------------
graphics::par(mfrow = c(1, 2))
display(mean_pillars(autothresholdr::mean_stack_thresh(my_img[, , 1, ], "h")))
display(mean_pillars(autothresholdr::mean_stack_thresh(my_img[, , 2, ], "h")))

## ----autothresholdr-code------------------------------------------------------
my_img_threshed <- autothresholdr::mean_stack_thresh(my_img, "Huang")

## ----detrend------------------------------------------------------------------
my_detrended_img <- img_detrend_robinhood(my_img_threshed)

## ----plot-detrended-mean-profile, echo=FALSE, fig.height=3, message=FALSE-----
plot_tbl <- tibble(
  frame = seq_len(dim(my_detrended_img)[4]),
  channel1 = apply(my_detrended_img[, , 1, ], 3, mean, na.rm = TRUE),
  channel2 = apply(my_detrended_img[, , 2, ], 3, mean, na.rm = TRUE)
) %>%
  gather(ch, mean, -frame)
pl <- ggplot(filter(plot_tbl, ch == "channel1"), aes(frame, mean)) +
  geom_smooth() +
  geom_point() +
  ggtitle("Channel 1") +
  ylim(0.75, 0.95)
pr <- ggplot(filter(plot_tbl, ch == "channel2"), aes(frame, mean)) +
  geom_smooth() +
  geom_point() +
  ggtitle("Channel 2") +
  ylim(26, 29)
gridExtra::grid.arrange(pl, pr, nrow = 1)