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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here
ICV 2022: 95.28
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28
For more details click here
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Original Research Articles                      Volume : 7, Issue:5, May, 2018
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38
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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
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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