alpscarf_plot: Alpscarf plot generation
In Chia-KaiYang/alpscarf: Alpscarf plot generation

Description Usage Arguments Value

View source: R/alpscarf_plot.R

Alpscarf plot generation

alpscarf_plot(alp_df = NULL, palette = NULL, focus_mode = c("transition",
  "duration"), ymax = 4, plot_type = c("alpscarf", "scarf"),
  creek_offset = 0.04, creek_size = 2, title = NULL,
  NORMALIZED_VIEW = TRUE, max_nr_transitions = 0,
  max_sum_dwell_duration_log = 0)

`alp_df`	a data frame containing the bar width/height info of Alpscarf, contains at least 6 columns "AOI" "trial" "bar_position" "dwell_duration_log" "seq_bar_length" "re_reading_bar_length"
`palette`	the color definition
`focus_mode`	to select between transition-focus mode and duration-focus mode
`ymax`	the range (in y-axis) of plot
`plot_type`	to select between Alpscarf plot and traditional scarf plot
`creek_offset`	to adjust the position of creeks, default = 0.04
`creek_size`	to adjust the size of creeks, default = 2
`title`	print title; e.g., participant name
`NORMALIZED_VIEW`	to select between normalized view (TRUE) and unnormalized view (FALSE), default = TRUE. In normalized view, all generated Alpscarf are in the same length. In unnormalized view, users need to specify the maximum length of generated Alpscarf.
`max_nr_transitions`	specify the maximum number of transitions in given dataset. Only used in unnormalized view (NORMALIZED_VIEW= FALSE).
`max_sum_dwell_duration_log`	specify the maximum number of the sum of total dwell durations (in log scale) in given dataset. Only used in unnormalized view. (NORMALIZED_VIEW= FALSE)