In TaylorAndrew/atExplore: Methods for Exploring Data

Finding Abberations:

detectOutliers() return values of x that are outliers.

Usage: detectOutliers(x, method = "SD", SDs = 3.5)

findMissings() provides a vector (per variable), containing the observations in the dataset.

Usage: findMissings(data, vars, idVar = NULL)

nnv() returns all values in a vector x that cannot be successfully coerced to numeric.

Usage: nnv(x)

Other Methods:

findVars() searching the variable names of a data.frame for matches to a provided character string, and then returns the matching variable name(s).

Usage: findVars(data, str, ignore.case = TRUE, fuzzy = TRUE)

n_() returns the length of a vector, excluding NA, NaN, and Infinite values.

Usage: n_(x)

sortDF() is a convenience wrapper for sorting data.frames.

Usage: sortDF(data, decreasing = FALSE, by = NULL)

TaylorAndrew/atExplore documentation built on May 9, 2019, 4:22 p.m.