Principal Component Analysis (PCA) | Ordination Analysis | Past 4.06b
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- Опубликовано: 9 фев 2025
- In this video tutorial, I will show you How to Calculate a Principal Component Analysis (PCA) by using the Past 4.06b version.
Software Version : Past 4.06b (Freeware)
Disclaimer
This Video is made for the sole Purpose of Higher Education. Care is Taken to Provide the most accurate information. However, we can’t guarantee the accuracy of all the information in this video. Kindly do your own research before coming to any conclusions or making any decisions.
#past #PCA #ordination #biostatistics #statistics #datascience #dataanalytics
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Very well explained. Love from Germany sirji!
Sir, is it possible to apply this software for training set and testing set analysis?
Thank you for your question! 😊 In PAST software, it is not directly designed for training and testing set analysis as seen in machine learning frameworks. However, you can still divide your data into training and testing sets manually (e.g., in Excel or R) and then analyze each set separately in PAST using PCA.
For more advanced training and testing workflows, software like R, Python (with libraries like scikit-learn), or MATLAB might be more suitable. Let me know if you'd like additional guidance on this topic! 👍
Sir , sphericity and 3 d scatter is not display in my past software during analysis what tha reason,
Hi there, can you tell us please, how the scores are calculated? Maybe with an example? Thanks!
Hi! No need to normalize data?
Sir, how to write up the explanation? and what does it mean by PC1 and PC 2?
Thank you for your question! 😊 PC1 (Principal Component 1) and PC2 (Principal Component 2) represent the first and second principal components in PCA. They explain the largest and second-largest variance in the data, respectively. The axes in the PCA plot show how much variation each component captures.
For the write-up, you can explain that PC1 typically accounts for the most significant patterns or trends in the data, while PC2 captures the next major source of variation. This helps visualize how samples or variables differ based on their contribution to these principal components.
I HAVE A QUESTION SIR, WHAT IF WE CHANGE THE PC's IN THE OPTION OF X AXIS AND YAXIS? I DID IT IN MY DATA AND THE SCATTER PLOT CHANGED AS I CHANGED THE PC OF THE AXIS ,,WHAT DOES THAT MEAN???
Go to graph menu see on last before opection change to X and Y axis
I need paritial coresponding componet analysis
Definitely I uploaded it
I have a question. Please what software is this?
Past statistical software it's freeware
@@StatisticsBio7 thanks
Which software you used here
Past statistical software 4 version
@@StatisticsBio7 is the software free ?
Sir how to analyse pca based on qualitative data?
Great question! 😊 Standard PCA is designed for numerical (quantitative) data, but for qualitative (categorical) data, you can use Multiple Correspondence Analysis (MCA) or Categorical PCA instead.
If you still want to use PCA in PAST, you can:
1️⃣ Convert categorical data into numerical form (e.g., dummy coding or ordinal scaling).
2️⃣ Use a similarity/dissimilarity matrix instead of raw data.
3️⃣ Consider alternative methods like MCA for better interpretation.
Let me know if you need further guidance!