layer_stats returns basic statistics (minimum, q1, median, q3,
maximum, median absolute deviation (mad), mean, standard deviation (sd))
for each given layercode.
Usage
layer_stats(layercodes = c())Arguments
- layercodes
character vector or dataframe. Codes of the layers you want the basic statistics of as a character vector or a dataframe with a "layer_code" column. With the default empty vector all statistics are returned.
Examples
# layer stats for the first 10 layers
layer_stats()[1:10,]
#> layer_code minimum q1 median q3 maximum mad
#> 1 BO_A1B_2100_salinity 0.000 33.061 33.6320 34.555 45.000 1.132706
#> 2 BO_A1B_2100_sstmax -1.030 16.398 27.9700 32.147 41.650 7.518266
#> 3 BO_A1B_2100_sstmean -1.610 11.756 23.4620 29.258 35.342 10.367822
#> 4 BO_A1B_2100_sstmin -1.807 8.609 19.9210 26.416 32.846 11.478290
#> 5 BO_A1B_2100_sstrange 0.767 4.477 6.0940 8.235 33.487 2.722054
#> 6 BO_A1B_2200_salinity 0.000 32.856 33.4700 34.414 45.000 1.183115
#> 7 BO_A1B_2200_sstmax -0.401 17.804 28.7400 32.797 42.752 7.288459
#> 8 BO_A1B_2200_sstmean -1.523 12.851 24.1270 29.825 36.705 10.221043
#> 9 BO_A1B_2200_sstmin -1.810 9.556 20.4845 26.898 33.148 11.283328
#> 10 BO_A1B_2200_sstrange 1.399 4.602 6.2310 8.660 32.117 2.902931
#> mean sd moran geary
#> 1 33.581528 3.062836 0.9659977 7.967063e-04
#> 2 24.008438 9.946540 0.9906802 3.888232e-05
#> 3 20.332794 10.295028 0.9902515 2.269467e-05
#> 4 17.349216 10.309791 0.9906726 3.242276e-05
#> 5 6.659221 3.064490 0.9900109 4.131083e-04
#> 6 33.424420 3.125564 0.9664247 7.847520e-04
#> 7 24.811906 9.908373 0.9906745 4.283967e-05
#> 8 21.009479 10.251172 0.9900848 2.335164e-05
#> 9 17.922208 10.262336 0.9902781 3.550761e-05
#> 10 6.889698 3.165707 0.9903447 4.372453e-04
layer_stats(c("BO_calcite", "MS_bathy_5m"))
#> layer_code minimum q1 median q3 maximum
#> 29 BO_calcite 5.0000e-05 6.600e-05 9.400e-05 1.860e-04 0.055976
#> 2425 MS_bathy_5m -1.0493e+04 -4.865e+03 -4.082e+03 -2.984e+03 -1.000000
#> mad mean sd moran geary
#> 29 5.337360e-05 4.247966e-04 2.640947e-03 0.8130786 0.074806796
#> 2425 1.313584e+03 -3.661049e+03 1.644869e+03 0.9728919 0.009697763