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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(5): 3794-3801
DOI: https://doi.org/10.20546/ijcmas.2018.705.441


Principal Component Analysis Utilizing R and SAS Software’s
Immad A. Shah1*, Imran Khan1, Shakeel A. Mir1, M. S. Pukhta1 and Ajaz A. Lone2
1Division of statistics, SKUAST-K, India
2Division of plant breeding, SKUAST-K, India
*Corresponding author
Abstract:

In this study high end general statistical software’s R and SAS have been compared using Principal component analysis. The Eigen values and Eigen vectors obtained by using R and SAS are found to be same, but the Eigen vectors obtained were found to differ in signs.


Keywords: R, SAS, Principal Component Analysis (PCA), Correlation, Eigen Values, Eigen Vectors
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How to cite this article:

Immad A. Shah, Imran Khan, Shakeel A. Mir, M. S. Pukhta and Ajaz A. Lone. 2018. Principal Component Analysis Utilizing R and SAS Software’s.Int.J.Curr.Microbiol.App.Sci. 7(5): 3794-3801. doi: https://doi.org/10.20546/ijcmas.2018.705.441