Using rollapply to find grooves in a crosscut

Using rollapply to find grooves in a crosscut

get_grooves_rollapply(x, value, smoothfactor = 15, adjust = 10,
  groove_cutoff = 400, mean_left = NULL, mean_right = NULL,
  mean_window = 100, second_smooth = T, which_fun = mean,
  return_plot = F)

Arguments

x	numeric vector of locations (in microns)
value	numeric values of surface measurements in microns
smoothfactor	The smoothing window to use
adjust	positive number to adjust the grooves
groove_cutoff	The index at which a groove cannot exist past
mean_left	If provided, the location of the average left groove
mean_right	If provided, the location of the average right groove
mean_window	The window around the means to use
second_smooth	Whether or not to smooth a second time
which_fun	Which function to use in the rollapply statement
return_plot	return plot of grooves?

Examples

# NOT RUN {
# Set the data up to be read in, cleaned, etc.
library(bulletxtrctr)
library(x3ptools)

example_data <- bullet_pipeline(
  location = list(Bullet1 = c(hamby252demo$bullet1[3])),
  stop_at_step = "crosscut",
  x3p_clean = function(x) x %>%
      x3p_scale_unit(scale_by=10^6) %>%
      rotate_x3p(angle = -90) %>%
      y_flip_x3p()
)

get_grooves_rollapply(example_data$ccdata[[1]]$x,
  example_data$ccdata[[1]]$value,
  adjust = 30, return_plot = T
)
cc_locate_grooves(example_data$ccdata[[1]],
  method = "rollapply",
  adjust = 30, return_plot = T
)
# }