bigO.drop: Ben Lira's function for assessing and dropping multivariate...
In crbwin/clnR: Clean and report psychological data
Description
Usage
Arguments
Value
Description
The function provides information on multivariate outliers, but also produces
a dataset with multivariate outliers excluded, which can be saved to a new object, or used to overwrite the data set.
This calculates Mahalanobis distance for each observation and calculates multivariate outliers using Chi2 testing.
Usage
1
Arguments
data
data frame
vars
vector of subset of data to analyze. Takes either varnames or a numeric vector of column numbers.
exclude
vector of subset of data to exclude from analysis. Takes either varnames or a numeric vector of column numbers.
p
level at which to test the significance of outliers, by testing the Chi2 parameter of the alpha distribution.
Value
cases excluded, a dataset of remaining cases, and a graph showing excluded vs. retained cases.
crbwin/clnR documentation built on Oct. 29, 2020, 1:55 a.m.
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Description Usage Arguments Value
Description
The function provides information on multivariate outliers, but also produces a dataset with multivariate outliers excluded, which can be saved to a new object, or used to overwrite the data set. This calculates Mahalanobis distance for each observation and calculates multivariate outliers using Chi2 testing.
Usage
1 |
Arguments
data |
data frame |
vars |
vector of subset of data to analyze. Takes either varnames or a numeric vector of column numbers. |
exclude |
vector of subset of data to exclude from analysis. Takes either varnames or a numeric vector of column numbers. |
p |
level at which to test the significance of outliers, by testing the Chi2 parameter of the alpha distribution. |
Value
cases excluded, a dataset of remaining cases, and a graph showing excluded vs. retained cases.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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