Description Usage Arguments Details Value Author(s)
Optionally fill out Level 2 habitat codes if Level 1 codes exist and vice versa.
| 1 2 3 4 5 6 7 8 9 | RL_code_fill(
  x,
  level1.recode = T,
  level2.recode = T,
  subset = 1,
  parallel = T,
  num.cores = parallel::detectCores() - 1,
  verbose = 1
)
 | 
| x | A wide format dataframe with one column per habitat category. As output by RL_fetch(). | 
| level1.recode | (optional) Logical. If Level 2 habitat info exists, should the corresponding Level 1 habitat be given the same info? See Details. Default is TRUE. | 
| level2.recode | (optional) Logical. If Level 1 habitat info exists, should the corresponding Level 2 habitats be given the same info? See Details. Default is TRUE. | 
| subset | (optional). Numeric. Specify proportion of x to run for between 0 and 1. Defaults to 1. | 
| parallel | (optional) Logical. If TRUE uses multiple cores. Default is TRUE. | 
| num.cores | (optional) Numeric. Specify number of cores to use if running in parallel. Default is number of CPU cores available - 1. | 
| verbose | (optional) Numeric. If 0 gives no progress update, if 1 prints progress bar, if 2 prints 1 row per task completed. Default is 1. | 
The level1.recode parameter will fill upstream Level 1 habitat categories if any Level 2 categories have habitat information. e.g. if habitat category 2.1 (Dry Savanna) is suitable and of major importance (coded as 31), habitat category 2 (Savanna) will be filled with this info too.
Similarly, level2.recode will fill all downstream Level 2 habitat categories if the corresponding Level 1 category is filled. e.g. if if habitat category 2 (Savanna) is suitable and of major importance (coded as 31), habitat categories 2.1 (Dry Savanna) and 2.2 (Moist Savanna) will be given the same information.
NOTE: Running this function multiple times will fill out Level 1/Level 2 habitats which only exist because of a previous function call. It is advisable only to run this function once.
A dataframe in wide format (one column per habitat type and one row per species' season).
Matt Lewis, matthewlewis896@gmail.com
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