sequence_correlation_matrix_projections_data: It computes the data from the PCA and IC and creates a tidy...
In currocam/toolkit4pySCA: A set of useful functions for performing an Statistical Coupling Analysis from scratch in R and using pySCA
View source: R/sequence_correlation_matrix_projections_data.R
sequence_correlation_matrix_projections_data R Documentation
It computes the data from the PCA and IC and creates a tidy DataFrame
in order to visualize the projections of the sequence correlation matrix.
Description
It computes the data from the PCA and IC and creates a tidy DataFrame
in order to visualize the projections of the sequence correlation matrix.
Usage
sequence_correlation_matrix_projections_data(db)
Arguments
db
Pickle pySCA
Value
Data Frame
currocam/toolkit4pySCA documentation built on April 7, 2022, 8:17 p.m.
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View source: R/sequence_correlation_matrix_projections_data.R
| sequence_correlation_matrix_projections_data | R Documentation |
It computes the data from the PCA and IC and creates a tidy DataFrame in order to visualize the projections of the sequence correlation matrix.
Description
It computes the data from the PCA and IC and creates a tidy DataFrame in order to visualize the projections of the sequence correlation matrix.
Usage
sequence_correlation_matrix_projections_data(db)
Arguments
db |
Pickle pySCA |
Value
Data Frame
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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