May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Tietjen-Moore test
The Tietjen-Moore test algorithm is a generalization of the Grubbs' test algorithm, which is basically used for univariate datasets. The following algorithm depicts the detection of the multiple outliers in a univariate dataset by applying the Tietjen-Moore test algorithm. The following are the parameters used:
- Input parameter: Input data, including outliers
- Output parameters: Original data with outliers marked
The workflow is shown as follows:
The step-wise approach will help us to create the function in the desired way. We will carry out the following steps to implement the detection of outliers in R for the bank dataset: ...
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