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Rank a vector based on clusters
rank_values_with_clusters(x, ignore0 = FALSE, ...)
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.
numeric vector
logical (FALSE). If TRUE, will ignore the 0's in the vector
not used
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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