prepareData: Preparation of Raw Data
In citation891/MCAC: Multivariate Chi-Square Anomaly Classification
Description
Usage
Arguments
Value
Description
Takes raw data frame as an input and generates tabulated state vector and initial
data structures necessary for chi-square plot generation. Functionality testign can
be conducted with the 'sampleData' Rda file included with this package.
Usage
1
prepareData(rawData, blocksize = 100)
Arguments
rawData
Raw data observations as depicted in the sampleData data structure
blocksize
This input determines number of raw data observations per tabulated block
Value
From raw date, return objects to the global environment that can be used in
'removeAnomaly' and 'plotQQ' fucntions.
citation891/MCAC documentation built on May 27, 2019, 1:09 a.m.
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Description Usage Arguments Value
Description
Takes raw data frame as an input and generates tabulated state vector and initial data structures necessary for chi-square plot generation. Functionality testign can be conducted with the 'sampleData' Rda file included with this package.
Usage
1 | prepareData(rawData, blocksize = 100)
|
Arguments
rawData |
Raw data observations as depicted in the sampleData data structure |
blocksize |
This input determines number of raw data observations per tabulated block |
Value
From raw date, return objects to the global environment that can be used in 'removeAnomaly' and 'plotQQ' fucntions.
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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