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Quick outlier treatment of a purse

Source: R/qfuncs.R
qTreat.purse.Rd

A simplified version of Treat() which allows direct access to the default parameters. This has less flexibility, but is an easier interface and probably more convenient if the objective is to use the default treatment process but with some minor adjustments.

Usage

# S3 method for class 'purse'
qTreat(
  x,
  dset,
  winmax = 5,
  skew_thresh = 2,
  kurt_thresh = 3.5,
  f2 = "log_CT",
  ...
)

Arguments

x

A purse

dset

Name of data set to treat for outliers in each coin

winmax

Maximum number of points to Winsorise for each indicator. Default 5.

skew_thresh

Absolute skew threshold - default 2.

kurt_thresh

Kurtosis threshold - default 3.5.

f2

Function to call if Winsorisation does not bring skew and kurtosis within limits. Default "log_CT".

...

arguments passed to or from other methods.

Value

An updated purse

Details

This function simply applies the same data treatment to each coin. See documentation for Treat.coin(), qTreat.coin() and vignette("treat").

Examples

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