impute: Impute outliers
In rushkin/outlieR: Outlier detection in multidimensional data

Description Usage Arguments Details Value

View source: R/outlier_detection.R

Impute detected outliers in a multidimensional data set

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impute(x, flag = NULL, fill = "mean", level = 0.1, nmax = NULL,
  side = NULL, crit = "lof", k = 5, metric = "euclidean", q = 3,
  ...)

`x`	a matrix, data frame or vector of data points (a vector will be understood as 1D data, equivalent to a 1-column matrix). Each row is a data point and each column is a dimension. NA values are allowed and will produce NAs in the output.
`flag`	a boolean or integer (0-or-1) vector flagging outliers, such as produced by the function `flag`. If NULL, further arguments will be used to compute it here by calling `flag`.
`fill`	method for imputing (or removing) outliers. If numeric or NA, it is the value that will replace the outliers. It the data is K-dimensional, `fill` is expected to be a vector of length K. If longer, the first K components will be used, and if shorter, the vector will be extended by NAs. Alternatively, `fill` can be a character string. Values 'mean' and 'median' replace outliers with the mean or (multidimensional) median of the rest of the remaining data, 'random' generates random replacement values drawn from the estimated probability distribution of the non-outlier data-points, 'remove' removes the outliers by calling the function `purge`. Any unambiguous substring can be given, case insensitive.
`level`	passed to the function `flag` if the argument 'flag' is NULL or missing
`nmax`	passed to the function `flag` if the argument 'flag' is NULL or missing
`side`	passed to the function `flag` if the argument 'flag' is NULL or missing
`crit`	passed to the function `flag` if the argument 'flag' is NULL or missing
`k`	passed to the function `flag` if the argument 'flag' is NULL or missing
`metric`	distance metric to be used in LOF (if `flag` is not provided) as well as for multidimensional median if `fill` is 'median'. A choice of 'euclidean','maximum','manhattan','canberra','minkowski', or 'binary'. Any unambiguous substring can be given, case insensitive.
`q`	power in Minkowski metric, used if `fill='median'` and `metric='minkowski'`
`...`	passed to `Rcgmin` if the argument `fill` is 'median' and data is multidimensional

The output object will be a vector, a matrix or a data-frame, depending on what x was. Row names, column names or (if x was a named vector) names will be kept.

object like x but with outliers imputed.

rushkin/outlieR documentation built on Dec. 20, 2020, 6:11 a.m.