relevant_variables_plot: relevant_variables_plot
In dCUR: Dimension Reduction with Dynamic CUR
Description
Usage
Arguments
Details
Author(s)
References
See Also
Examples
View source: R/relevant_variables_plot.R
Description
relevant_variables_plot returns a bar graph which contains the leverages of the most relevant variable of data matrix according to CUR decomposition.
Usage
1
Arguments
data
An object resulting from a call to CUR.
Details
Relevant Variables Plot
Author(s)
Cesar Gamboa-Sanabria, Stefany Matarrita-Munoz, Katherine Barquero-Mejias, Greibin Villegas-Barahona, Mercedes Sanchez-Barba and Maria Purificacion Galindo-Villardon.
References
\insertRefdynamyCURdCUR
See Also
Examples
1
2
3
4
result <- CUR(data=AASP, variables=hoessem:notabachillerato,
k=20, rows = 1, columns = .2, standardize = TRUE,
cur_method = "sample_cur")
relevant_variables_plot(result)
dCUR documentation built on Oct. 23, 2020, 8:33 p.m.
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Description Usage Arguments Details Author(s) References See Also Examples
View source: R/relevant_variables_plot.R
Description
relevant_variables_plot returns a bar graph which contains the leverages of the most relevant variable of data matrix according to CUR decomposition.
Usage
1 |
Arguments
data |
An object resulting from a call to CUR. |
Details
Relevant Variables Plot
Author(s)
Cesar Gamboa-Sanabria, Stefany Matarrita-Munoz, Katherine Barquero-Mejias, Greibin Villegas-Barahona, Mercedes Sanchez-Barba and Maria Purificacion Galindo-Villardon.
References
\insertRefdynamyCURdCUR
See Also
Examples
1 2 3 4 | result <- CUR(data=AASP, variables=hoessem:notabachillerato,
k=20, rows = 1, columns = .2, standardize = TRUE,
cur_method = "sample_cur")
relevant_variables_plot(result)
|
dCUR documentation built on Oct. 23, 2020, 8:33 p.m.
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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