tenDay_clean: Real Process Data for Training
In gabrielodom/mvMonitoring: Multi-State Adaptive Dynamic Principal Component Analysis for Multivariate Process Monitoring
tenDay_clean R Documentation
Real Process Data for Training
Description
Data from the SM-MBR Bioreactor system over ten days. This data
will be used for training the mvMonitoring package.
Usage
tenDay_clean
Format
An xts matrix of 1,299 rows and 35 features recorded over
2017-01-17 at 00:10 to 2017-01-27 at 00:00.
Source
Kathryn Newhart
gabrielodom/mvMonitoring documentation built on Nov. 23, 2023, 6:39 p.m.
R Package Documentation
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| tenDay_clean | R Documentation |
Real Process Data for Training
Description
Data from the SM-MBR Bioreactor system over ten days. This data will be used for training the mvMonitoring package.
Usage
tenDay_clean
Format
An xts matrix of 1,299 rows and 35 features recorded over 2017-01-17 at 00:10 to 2017-01-27 at 00:00.
Source
Kathryn Newhart
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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