Handwriting: Handwriting
In mlmts: Machine Learning Algorithms for Multivariate Time Series
Handwriting R Documentation
Handwriting
Description
Multivariate time series (MTS) indicating writing from a subject wearing a smartwatch.
Usage
data(Handwriting)
Format
A list with two elements, which are:
dataA list with 1000 MTS.
classesA numeric vector indicating the corresponding classes associated with the elements in data.
Details
Each element in data is a matrix formed by 152 rows (time points) indicating acceleration trajectory and 3 columns (variables) indicating accelerometer value. The first 150 elements
correspond to the training set, whereas the last 850 elements correspond to the test set. The numeric vector classes is formed
by integers from 1 to 26, indicating that there are 26 different classes in the database. Each class is associated with a different
alphabetical character. For more information, see \insertCitebagnall2018uea;textualmlmts.
Run "install.packages("ueadata1", repos="https://anloor7.github.io/drat")"
to access this dataset and use the syntax "ueadata1::Handwriting".
References
\insertRefbagnall2018ueamlmts
\insertRefruiz2021greatmlmts
\insertRefbagnallwebmlmts
mlmts documentation built on Sept. 11, 2024, 6:41 p.m.
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| Handwriting | R Documentation |
Handwriting
Description
Multivariate time series (MTS) indicating writing from a subject wearing a smartwatch.
Usage
data(Handwriting)
Format
A list with two elements, which are:
dataA list with 1000 MTS.
classesA numeric vector indicating the corresponding classes associated with the elements in
data.
Details
Each element in data is a matrix formed by 152 rows (time points) indicating acceleration trajectory and 3 columns (variables) indicating accelerometer value. The first 150 elements
correspond to the training set, whereas the last 850 elements correspond to the test set. The numeric vector classes is formed
by integers from 1 to 26, indicating that there are 26 different classes in the database. Each class is associated with a different
alphabetical character. For more information, see \insertCitebagnall2018uea;textualmlmts.
Run "install.packages("ueadata1", repos="https://anloor7.github.io/drat")"
to access this dataset and use the syntax "ueadata1::Handwriting".
References
\insertRefbagnall2018ueamlmts
\insertRefruiz2021greatmlmts
\insertRefbagnallwebmlmts
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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