You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
By default, the function normalizes the PCA percent variance explained results around 0 and then selects all positive (above average) components for dimensional analysis. I would like to implement 'strengths' to this analysis. For instance, allowing for selection around 0.5, -0.5, or custom strength. I'll add an argument to the function for this.
The text was updated successfully, but these errors were encountered:
Added strength and dims options for customizable PCA strength and number of dimensions. I would still like to add a path for total percent explained as the core component for analysis.
By default, the function normalizes the PCA percent variance explained results around 0 and then selects all positive (above average) components for dimensional analysis. I would like to implement 'strengths' to this analysis. For instance, allowing for selection around 0.5, -0.5, or custom strength. I'll add an argument to the function for this.
The text was updated successfully, but these errors were encountered: