Drop outliers
Arguments
- sessions
tibble, sessions data set in evprof standard format.
Examples
library(dplyr)
sessions_outliers <- california_ev_sessions %>%
sample_frac(0.05) %>%
detect_outliers(start = 3, noise_th = 5, eps = 2.5)
#> Trying with MinPts = 200 and eps = 2.5
#> Too much nosie (5.91 %). Consider a higher eps.
#> Trying with MinPts = 200 and eps = 3.75
#> Solution found: MinPts= 200 , eps = 2.594
plot_outliers(sessions_outliers, start = 3)
sessions_clean <- drop_outliers(sessions_outliers)
plot_points(sessions_clean, start = 3)