chk_outliers: Audits for potential erroneous values ("outliers").

In lwjohnst86/PROMISE.audit: Identifies Unexpected Values in the PROMISE Datasets

Description

Uses the assertr::within_n_mads().

Usage

chk_outliers(.data, .n_mads, .variables)

Arguments

.data	Data to audit.
.n_mads	Number of mean absolute deviations (see assertr::within_n_mads).
.variables	Column variables to check.

Value

Adds attribute that contains the audit errors, if any, to the data. Use aud_report() to view the audit fails.

Examples

library(magrittr)
ds <- data.frame(a = c(rnorm(100), 10))

flaws <- ds %>%
chk_outliers(2, "a")
aud_report(flaws)

lwjohnst86/PROMISE.audit documentation built on May 6, 2019, 9:54 a.m.