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[EN] R statistics: linear discriminant analysis (LDA) 

László Baranyai
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Linear discriminant analysis (LDA) is presented using the package MDA (Mixture and Flexible Discriminant Analysis). Descriptive statistics is calculated on IRIS table, principal component analysis (PCA) is performed. Correct classification is calculated based on diagonal values of the confusion matrix. Cross validation is presented with randomly selected data (20%).

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7 июн 2020

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Комментарии : 11   
@woodworkingaspirations1720
@woodworkingaspirations1720 2 года назад
Excellent tutorial. Simple and to the point. Thank you
@xuanhoamac4539
@xuanhoamac4539 Год назад
Thank you sir
@2xndidh2837
@2xndidh2837 3 года назад
This was amazing! Very easy to understand.
@aqsaashraf7798
@aqsaashraf7798 3 года назад
Appreciate your Efforts for Linear Discriminant analysis. Its very helpful for me. I want to apply Discriminant Factor Analysis technique after MANOVA, and want you to assist me. I will highly consider your Suggestion
@laszlobaranyai73
@laszlobaranyai73 3 года назад
Well, this comment section is not suitable for detailed discussion. Please submit your question to ResearchGate.
@aysusecmen5329
@aysusecmen5329 Год назад
where can I find your website with the data set and course code please?
@laszlobaranyai73
@laszlobaranyai73 Год назад
the dataset is built-in, called 'iris'. The video shows the code, it is not available separately now.
@hillarylalala4522
@hillarylalala4522 Год назад
Hello, where can I find the mda library
@laszlobaranyai73
@laszlobaranyai73 Год назад
Hello. Find "packages" tab on screen and click "install". You can search internet for "tutorial how to install R packages in RStudio"
@divyaagrawal6740
@divyaagrawal6740 Год назад
invalid error is coming in my code
@laszlobaranyai73
@laszlobaranyai73 Год назад
there can be many reasons for that, please follow the video step-by-step. The tutorial is not working or you do something else?
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