plot_scree: Generate a scree plot visualization based on the decomposed...
In junyangq/multiSnpnet: Fit a sparse reduced rank regression model on large-scale SNP data and multivariate responses
plot_scree R Documentation
Generate a scree plot visualization based on the decomposed coefficient matrix C.
Description
Generate a scree plot visualization based on the decomposed coefficient matrix C.
Usage
plot_scree(svd_obj)
Arguments
svd_obj
A named list containing three matrices with u, d, and v as their names as in the
output from base::svd() function. One can pass the results of base::svd(t(fit$C)) or tsvd_of_C_with_names(fit)
Examples
plot_scree( tsvd_of_C_with_names(fit, rank = 10) )
junyangq/multiSnpnet documentation built on Oct. 19, 2023, 8:22 p.m.
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| plot_scree | R Documentation |
Generate a scree plot visualization based on the decomposed coefficient matrix C.
Description
Generate a scree plot visualization based on the decomposed coefficient matrix C.
Usage
plot_scree(svd_obj)
Arguments
svd_obj |
A named list containing three matrices with u, d, and v as their names as in the output from base::svd() function. One can pass the results of base::svd(t(fit$C)) or tsvd_of_C_with_names(fit) |
Examples
plot_scree( tsvd_of_C_with_names(fit, rank = 10) )
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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