Utilities for Preparation of Data Analysis
Convert proportional data to M-Values
select 1st existing value of several columns
Supplement missing values in mapping of data
Filter data set using PCA
Fix extremes for logit transformation
Detect inconsistencies in 1:1 mapping
Convert logit transformed M-Values of proportional data back to origin...
Normalize numeric variable to range(0,1)
PCA on automatically selected attributes in high dimensional data
batch effect removal by mean centering and shifting
Compute Variance inflation factor
Create text data files using convenient defaults
Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.