Perform principal component analysis (PCA) on specified variables and create visualizations.
Usage
CreatePCATable(
Data,
VarsToReduce,
VariableCategories = NULL,
minThresh = 0.85,
scale = TRUE,
center = TRUE,
Relabel = T,
Ordinal = FALSE,
numComponents = NULL
)Arguments
- Data
The dataset containing the variables for PCA.
- VarsToReduce
A character vector specifying the variables to include in the PCA.
- VariableCategories,
categorical, annotates the lollipop plot with color
- minThresh
The minimum threshold for cumulative proportion of variance (default is 0.85).
- scale
Logical, indicating whether to scale the data (default is TRUE).
- center
Logical, indicating whether to center the data (default is TRUE).
- Relabel
Optional argument to relabel the components.
- Ordinal
Logical, indicating whether ordinal variables should be handled.
- numComponents
Number of principal components to compute.