resampling_core.md
In BioTIMEr: Tools to Use and Explore the 'BioTIME' Database

resampling_core summarise = TRUE returns consistent results

Code
  set.seed(42)
  resampling_core(x = test_dt, measure = c("ABUNDANCE", "BIOMASS"), summarise = TRUE)
Output
       assemblageID  YEAR Species ABUNDANCE   BIOMASS
              <int> <int>  <char>     <int>     <num>
    1:            1  2010       q        33 2519.4499
    2:            1  2010       e        33 4515.2674
    3:            1  2010       a         6 1077.0817
    4:            1  2010       j        17  683.4787
    5:            1  2011       d        19 3532.3041
   ---                                               
  480:            4  2014       h        12 1142.5879
  481:            4  2015       j         9  364.5218
  482:            4  2015       b        10  657.9949
  483:            4  2015       y        15 1236.1387
  484:            4  2015       f        14  817.1440

resampling_core summarise = FALSE returns consistent results

Code
  set.seed(42)
  dplyr::as_tibble(resampling_core(x = test_dt, measure = c("ABUNDANCE",
    "BIOMASS"), summarise = FALSE))
Output
  # A tibble: 768 x 7
     assemblageID minsamp SAMPLE_DESC  YEAR Species ABUNDANCE BIOMASS
            <int>   <int> <chr>       <int> <chr>       <int>   <dbl>
   1            1       2 A            2010 q              14    58.0
   2            1       2 A            2010 e               6   449. 
   3            1       2 A            2010 a               6  1077. 
   4            1       2 A            2010 j               8   186. 
   5            1       2 A            2011 d               9  1569. 
   6            1       2 A            2011 r               9   227. 
   7            1       2 A            2011 z               7   766. 
   8            1       2 A            2011 o              15   312. 
   9            1       2 A            2012 g               8  1355. 
  10            1       2 A            2012 v              12   906. 
  # i 758 more rows