ridge_all_types: Ridge plot for multiple categories
In Yutong441/TBdev: Infer a Trophoblast Developmental Trajectory

Ridge plot for multiple categories

ridge_all_types(
  xx,
  x_col = "value",
  y_col = "category",
  sort_by = "p.adjust",
  default_theme = F,
  color_col = "cluster",
  not_show_prop = 0.01,
  term_length = 60,
  show_num = NULL,
  simplification = T,
  amplify_font = 1.2,
  AP = NULL,
  sim_dict = NULL,
  append_default_dict = T
)

`xx`	a dataframe generated from run_GSEA_all_types
`x_col`	the column for the x axis of ridge plot
`y_col`	the column for the y axis of ridge plot
`sort_by`	by which column in `xx` the order of the enriched terms are shown in ridge plot
`default_theme`	whether to use ggplot default_theme
`color_col`	color by which column in `xx`
`not_show_prop`	proportion of the data with extreme values of fold changes that are not shown, in order to truncate the x axis and avoid white spaces in the final plot.
`term_length`	remove terms beyond a certain length
`show_num`	how many enriched terms to show
`simplification`	whether to simplify the GO/KEGG/Reactome terms
`amplify_font`	increase the font size of the y axis labels by a ratio, which represent the enrichment terms
`AP`	aesthetic parameters
`sim_dict`	a data frame with 2 columns: 'ori' for the original terms, 'sub' for the strings that will replace the original terms. The default is a a limited data frame built into this package.
`append_default_dict`	append default dictionary to simplify the terms