{
"item_title" : "Principle Component and Correspondence Analyses Using R",
"item_author" : [" Hervé Abdi", "Derek Beaton "],
"item_description" : "Fills a void in the literature for how to do PCA and CA with R, a wildly popular and open source softwareAll analyses use R packages, including a package created for this book, and examples provide all data and codeThe how to approach used here can be used in courses and self-learning",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/31/909/255/3319092553_b.jpg",
"price_data" : {
"retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Principle Component and Correspondence Analyses Using R
by Hervé Abdi and Derek Beaton
PRE-ORDER NOW:
local_shippingShip to Me
local_shippingShip to Me
Preorder. This item will be available on April 23, 2028 .
FREE Shipping for Club Members help
Overview
Fills a void in the literature for how to do PCA and CA with R, a wildly popular and open source software
All analyses use R packages, including a package created for this book, and examples provide all data and code
The "how to" approach used here can be used in courses and self-learning
This item is Non-Returnable
Customers Also Bought
- 1
![Analysis of Correlated Data with SAS and R, Third Edition [With CDROM] (Hardcover)](https://covers3.booksamillion.com/covers/bam/1/58/488/619/1584886196_w.jpg)
Details
- ISBN-13: 9783319092553
- ISBN-10: 3319092553
- Publisher: Springer
- Publish Date: April 2028
- Page Count: 110
Related Categories
You May Also Like...
- 1
