Відео

Thank you so much for your kind words! 😊 I'm glad my videos are helping with your research. As for your question, you can technically use CCA with data from just two sites, but it may not provide meaningful results. CCA works best when analyzing relationships between species data and environmental variables across multiple sites to capture more variation. If your dataset is limited to two sites, other methods might be more suitable. Let me know if you'd like guidance on alternative approaches!

You're welcome! 😊 Glad you liked it. Let me know if you have any questions or suggestions for future topics!

Thank you for your question! 😊 While you can technically perform Canonical Correspondence Analysis (CCA) with data from just two sites, it may not yield meaningful results. CCA is designed to analyze relationships between species data and environmental variables across multiple sites. With only two sites, the analysis might not fully capture the variation or provide robust conclusions.

Can I ask what is the best method to use. I have 2 sites, 4 environmental parameters and many species.

@@StatisticsBio7 I only have two sites and is it possible to just use transect 1,2,3,4,5,6 in the column as alternative to sites?

@@marilourblancada4855 Thank you for your question! Canonical Correspondence Analysis (CCA) can work well for your data since you have environmental parameters and species data. However, with only 2 sites, the results might be limited in terms of differentiation. You might also consider other methods like Redundancy Analysis (RDA) if you suspect a linear relationship between your environmental parameters and species data. Let me know if you'd like a detailed explanation or a tutorial

@@marilourblancada4855 Yes, you can use transects (1, 2, 3, etc.) in place of sites to represent spatial variations in your data. This approach allows you to analyze patterns across the transects instead of sites, which can still provide valuable insights. Ensure that your environmental variables and species data are correctly aligned with the transect columns. Let me know if you’d like further guidance on setting it up!

Thank you for your question! 😊 Yes, you can perform PCA with data from just two sites. However, keep in mind that PCA works best with more data points to identify meaningful patterns and variance. With only two sites, the results may be limited, and the interpretation might not capture broader trends effectively. If you'd like, I can provide tips on setting up your data for PCA. Let me know!

Thank you! 😊 I'm glad you liked it. Stay tuned for more videos, and feel free to share your suggestions or questions! 🙌

Thank you for your comment! 😊 I’ve added the download link for the Heat Map with Dendrogram app in the video description. Kindly check the video description box for the link. (or) The download link is available on my blog post: statisticsbio7.blogspot.com/2025/01/heat-map-with-dendrogram-in.html. Please visit and download it from there. 👍

Thank you for your comment! 😊 The software used in this video is PAST (PAlaeontological STatistics), a free statistical software. You can download it from the official site: www.nhm.uio.no/english/research/resources/past/. Let me know if you need further assistance! 👍

@StatisticsBio7 Sure sir Thank you..

@@rahulnigam78 You're most welcome! 😊 Let me know if there's anything else I can help with. 🙌

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! 👍

You're most welcome! 😊 If you ever need more help or have questions, feel free to ask. Happy to assist anytime! 🙌

You're very welcome! 😊 I'm glad you found the video helpful. Let me know if you have any other questions or need further explanations. Happy learning!

Thank you for your kind words! 😊 I'm glad you found the video helpful. You can reach me at elur.mohan@gmail.com. Feel free to send me your questions, and I'll do my best to assist you. Looking forward to hearing from you!

I'm using PAST statistical software - it's free to download and use. If you want to stay updated on PAST software tutorials, feel free to follow my other channel @Biostats on UA-cam. 😊

Yes, you can remove the dotted lines. In OriginPro, go to Plot Details > Grid Lines and uncheck the box for the lines you want to remove. This should remove the dotted lines from your stacked bar chart. Let me know if you need further clarification! 😊

@StatisticsBio7 Thank you so much for your reply... But when I go to plot details I don't get any option of the grid line there... I only get options like (group, display, pattern, spacing, panel, label). So can you please tell me after going to plot details where I have to go?

@@MelodicRiddles Thank you for the clarification! It seems like you're in the right area, but for grid line settings, try these steps: Go to 'Plot Details'. Under 'Display', look for the 'Grid Lines' section. In the 'Grid Lines' section, you should be able to find options to enable/disable grid lines and adjust their appearance. If this option is still not visible, make sure that your chart type is appropriate for grid line adjustments. Let me know if this helps or if you need further assistance!

@@StatisticsBio7I am still not getting the option of grid lines anywhere, maybe because it doesn't support removing these dotted lines. It's okay no need and again thanks for your help 🙏

Thank you so much! I'm glad you found the explanation helpful. 😊

Thank you so much! 😊

Thank you for your suggestion! 🙌 That's a great topic. I'll add it to my list of future videos. Stay tuned! 😊

@@StatisticsBio7 please upload soon.thank you

@@zobiasss Thank you for your enthusiasm! 🙌 I'll work on it and try to upload the video as soon as possible. Stay tuned, and feel free to reach out if you have any other questions! 😊

@@StatisticsBio7I wanted to perform a PMF model (Positive Matrix Factorization). Do you have any idea about it?

@@zobiasss Thank you for your question! 😊 Currently, I don't have detailed information on performing a PMF model, but I'll definitely look into it and share the details as soon as possible. Stay tuned!

Glad to hear that! 😄 I'm happy the video helped you out. Let me know if you need anything else! 🚀

Thank you! I'm glad you found the video helpful. 😊 To generate the model equation in OriginPro, you can go to the Fit Model section under the SEM tool. I'll consider making a detailed video on this process soon. Stay tuned! 🚀

Thank you for reaching out! I appreciate your interest. At the moment, my schedule is quite full, so I may not be able to provide direct assistance. However, I recommend checking out my existing videos on PCA analysis - they might help clarify some of your questions. Let me know if you need guidance on a specific part of the process. 😊

@@StatisticsBio7 thanks... 🖤

Thank you for your question! 😊 The value in brackets usually represents the count or percentage for each group in the Venn Diagram. To remove it, you can edit the label format in OriginPro's "Plot Details" under the "Labels" tab. Let me know if you need step-by-step guidance!

Thank you for your interest! 😊 The code is available exclusively for channel members. If you'd like to access it, consider joining the membership program. Let me know if you have any questions about becoming a member!

Thank you for your feedback! I’ll work on improving the video quality and clarity of my explanations in future videos. Your input is valuable, and I appreciate your patience as I continue to enhance my content. 😊

Thank you for your comment! 😊 I’ll work on providing more detailed explanations in future videos. If you have any specific questions, feel free to ask, and I’ll be happy to help!

Thank you for your suggestion! I'll add it to my list of future videos. Stay tuned! 😊

You're very welcome! 😊 I'm glad I could help. Let me know if you have any more questions or need further assistance!

You're welcome! 😊

Thank you for your question! 😊 The SEM images shown in the video were created using PowerPoint as OriginPro does not support creating SEM diagrams directly. Let me know if you'd like a guide on how to make these images in PowerPoint!

Thanks for your question! In Canonical Discriminant Analysis (CDA), 'Canonical Variable 1' and 'Canonical Variable 2' on the x and y axes are the linear combinations of the original variables that maximize the separation between groups. Canonical Variable 1 explains the most variation, while Canonical Variable 2 explains the second most. These axes help to visualize group differences and clustering in the data.

Thank you for your interest! The second video on SEM has already been uploaded. You can find the link in the description box of the first video. Let me know if you need further assistance. 😊

Thank you for asking! 😊 The second video link is available in the description box of the first video. Please check it there, and let me know if you have any other questions!

Thank you for your question! To add significance asterisks to the triangle heatmap in OriginPro, you can use the 'Add Text Labels' option under the 'Plot Details' panel. Calculate the significance levels separately, then manually place the asterisks on the corresponding cells. I’ll consider making a video to demonstrate this step-by-step!

@@StatisticsBio7 great thanks

You're very welcome! 😊 I'm glad I could help. If you have more questions, feel free to ask anytime. Thanks for the kind words! 👍

Hello, thank you for reaching out! I understand the issue with PayPal. If you’d like to join the UA-cam membership, you can do so by clicking on the ‘Join’ button below the video or on the main channel page. If you're having trouble with PayPal, you might want to try other payment methods available on UA-cam, such as credit cards or Google Pay. I appreciate your support, and please let me know if you need further assistance!

Thank you for your feedback. I completely understand that students may have limited budgets, which is why we’ve set the membership fee at a very minimal amount-equivalent to the cost of a cup of coffee. This small contribution helps us invest in better learning resources and equipment to improve the quality of our content. We've also kept the price at just one-fifth of a dollar, aiming to make it as affordable as possible. If you have any further suggestions or feedback, feel free to share. Your input is always appreciated!

Hello could you answer me where to find the 2nd video

@@ghanisubhan8693 Thank you for asking! 😊 The second video link is available in the description box of the first video. Please check it there, and let me know if you have any other questions!

Thanks for asking! 😊 The generated figure is shown in the second video. You can check it out here: ua-cam.com/video/sd-LugUHKTE/v-deo.html. Let me know if you have more questions after watching!

@StatisticsBio7 I have paid Rs. 29 just now but can't watch the video

@@ingudam-gw2bm Thank you for joining as a Supporter! I appreciate your contribution to the channel. Please note that exclusive video content is available only for members who join the 'Exclusive Viewer' level. You’re currently subscribed at the Supporter level, which helps support the channel but doesn’t include access to exclusive videos. For more details on each membership level: Supporter - Show your support with a contribution. Engaged Learner - Priority replies to your comments. Exclusive Viewer - Full access to exclusive content. If you’d like to upgrade, you can explore these options under the Memberships tab. Thanks again for your support!

I thought this channel is purely for learning purpose, but I realized it to be purely commercial now. Anyway, I will learn it from the Origin Software instructions. I am not going to subscribe this channel anymore.

@@ingudam-gw2bm Thank you for your feedback. I understand your concern and appreciate your support so far. To clarify, all the content on this channel has been offered for free, but sustaining the channel requires significant time and resources. UA-cam now encourages creators to offer some content through membership, which helps cover costs like acquiring learning materials. Additionally, creating high-quality videos is time-intensive. I hope you can understand this balance between providing value and maintaining the channel's sustainability.

Hi! This video focuses on adding significance values (like asterisks) to bar graphs in Excel. Regarding your question, this is not specifically about a two-way ANOVA. However, to obtain p-values (p, p*, p**) for comparisons, you can perform statistical tests such as a t-test or ANOVA in Excel or other statistical software before adding the significance markers to your graph. If you'd like, I can guide you on how to perform these tests in Excel as well. Let me know if you'd like more details!

Thank you for letting me know! 😊 I’ve already uploaded the next video-here’s the link: ua-cam.com/video/sd-LugUHKTE/v-deo.html. I hope it helps with your presentation! Let me know if you need any further assistance.

Thanks for your patience! 😊 I’ve just published the second video, and you can watch it here: ua-cam.com/video/sd-LugUHKTE/v-deo.html. Let me know if you find it helpful or have more questions!

Thank you for your feedback! 😊 I’ve made a detailed video covering how to work with Structural Equation Modeling (SEM) in OriginPro. You can check it out here: Structural Equation Modeling (SEM) in OriginPro | Complete Guide to SEM Analysis (ua-cam.com/video/-VkF10u0hqE/v-deo.html). Let me know if you have any further questions after watching!

Thank you for your question! 😊 The error "Eigenvalues did not converge" usually means that the program couldn’t calculate stable eigenvalues, which can happen with highly correlated data or when the data matrix isn’t suitable for factor analysis. You might try adjusting your dataset (e.g., removing variables with very high correlations) or using a larger sample size if possible. Let me know if you need more guidance!

Thank you for your question! 😊 To add a boundary to your graph in OriginPro, you can go to "Format" > "Axes" and select "Line" or "Boundary" options, adjusting the style and color as needed. This will add a clear border around your graph. Let me know if you need more details!

Thank you for your question! 😊 This message means that the number of observations (rows of data) needs to be greater than the number of variables (columns) for Redundancy Analysis (RDA) to work. You could try reducing the number of variables or increasing the number of observations. Let me know if this helps or if you have more questions!

You're very welcome! 😊 I'm glad I could help. Let me know if you have more questions!

You're very welcome! 😊 Happy to help-feel free to reach out anytime!

PAST does not provide an option to directly set the DPI within the software. However, you can export the image and then increase the resolution to 300 DPI using an external image editor (such as Photoshop, GIMP, or other graphic software).

@@StatisticsBio7 Thanks Sir

Canonical Correspondence Analysis (CCA) in PAST | Full Guide: Analysis & Interpretation ua-cam.com/video/EKkXJXP9lQE/v-deo.html

Thank you for your question! 😊 The "invalid graphics state" error usually means there’s an issue with the graphics device in R. Try running dev.off() in the console to reset the graphics device, then re-run the code. This often solves the issue! Let me know if it works or if you need further assistance!

@@StatisticsBio7 after run the "dev.off()", following message is shown: Error in dev.off() : cannot shut down device 1 (the null device)

Great question! 😊 When working with replicated data in a correlation heatmap, you can either average the replicated values to get a single measure for each variable or calculate correlations separately for each replicate set. This will help reduce redundancy and make the heatmap clearer. Let me know if you need more details on either approach!