`svd_entropy`

measures the contribution of each feature in decreasing
the data entropy.

svd_entropy(sample, variables, cores = NULL)

sample | tbl containing sample used to estimate parameters. |
---|---|

variables | character vector specifying observation variables. |

cores | optional integer specifying number of CPU cores used for
parallel computing using |

data frame specifying the contribution of each feature in decreasing the data entropy. Higher values indicate more information.

sample <- tibble::tibble( AreaShape_MinorAxisLength = c(10, 12, 15, 16, 8, 8, 7, 7, 13, 18), AreaShape_MajorAxisLength = c(35, 18, 22, 16, 9, 20, 11, 15, 18, 42), AreaShape_Area = c(245, 151, 231, 179, 50, 112, 53, 73, 164, 529) ) variables <- c("AreaShape_MinorAxisLength", "AreaShape_MajorAxisLength", "AreaShape_Area") svd_entropy(sample, variables, cores = 1)#> # A tibble: 3 x 2 #> variable svd_entropy #> <chr> <dbl> #> 1 AreaShape_MinorAxisLength 0.00174 #> 2 AreaShape_MajorAxisLength 0.00285 #> 3 AreaShape_Area -0.0424