Correspondence Analysis in Practice

The second edition of Michael Greenacre's book Correspondence Analysis in Practice has been published by Chapman & Hall /CRC Press. This book has been completely rewritten compared to the first edition published in 1993.

This edition is characterized by a long section on computational aspects and Michael demonstrates the use of two software packages - R and XLSTAT - for correspondence analysis and its variants, multiple correspondence analysis (MCA) and canonical correspondence analysis (CCA). You can read more about Michael's book at: http://www.carme-n.org/?sec=books2 with ordering information at http://www.carme-n.org/download/C6161FL.PDF


最新のイベント

This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.

This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.

This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST

最新ツィート

🎥🎉 Stat Café reaches the 9K subscribers milestone! Thanks to all of you for following our YouTube channel!… https://t.co/KQzZK6h0eG

🗓️ Preference Modelling using Partial Least Squares in @XLSTAT with @Qi_Statistics ➡️ 16th July at 08:00 or at 15:0… https://t.co/AP0japOYNR

🎥 Discover our new short video about @XLSTAT and find out what the software can do for you. https://t.co/ybQOZZ57Sy…https://t.co/bttAqQc7DI