Rank a vector based on clusters
Rank a vector based on clusters
rank_values_with_clusters(x, ignore0 = FALSE, ...)
x |
numeric vector |
ignore0 |
logical (FALSE). If TRUE, will ignore the 0's in the vector |
... |
not used |
an integer vector with the number of unique values as the number of uniques in the original vector. And the values are ranked from 1 (in the beginning of the vector) to the number of unique clusters.
rank_values_with_clusters(c(1, 2, 3)) rank_values_with_clusters(c(1, 1, 3)) rank_values_with_clusters(c(0.1, 0.1, 3000)) rank_values_with_clusters(c(3, 1, 2)) rank_values_with_clusters(c(1, 3, 3, 3, 3, 3, 3, 4, 2, 2)) rank_values_with_clusters(c(3, 1, 2), ignore0 = TRUE) rank_values_with_clusters(c(3, 1, 2), ignore0 = FALSE) rank_values_with_clusters(c(3, 1, 0, 2), ignore0 = TRUE) rank_values_with_clusters(c(3, 1, 0, 2), ignore0 = FALSE)
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