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RankPCA

0.1.0

Rank of Variables Based on Principal Component Analysis for Mixed Data Types

0packages depend
6.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Dr. Sandip GaraiFirst published 2024-06-071 releasesCRAN page ↗

Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of a dataset while preserving as much variability as possible. By transforming the original variables into a new set of uncorrelated variables called principal components, PCA helps in identifying patterns and simplifying the complexity of high-dimensional data. The 'RankPCA' package provides a streamlined workflow for performing PCA on datasets containing both categorical and continuous variables. It facilitates data preprocessing, encoding of categorical variables, and computes PCA to determine the optimal number of principal components based on a specified variance threshold. The package also computes composite indices for ranking observations, which can be useful for various analytical purposes. Garai, S., & Paul, R. K. (2023) doi:10.1016/j.iswa.2023.200202.

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Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
No
README
2
Dependencies · direct
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (2)
statscaret
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 181 (63%)Rd 107 (37%)
Code characteristics
Cyclomatic complexity
1.0 median / 1 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

2 2 exported

Complexity

1 avg / 1 max

Call network

2 nodes / 0 edges

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Per-function coverage is not measured for this package yet.

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Release timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-06-07
Total releases
1 / 2 yrs
License
GPL-3 OSI
Download size
4.2 KB
Installed size
not tracked yet
With dependencies
not tracked yet