Rob K Statistics
Rob K Statistics
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QMUL Savannah Ecology Camera Trap Highlights September 2022
Not a stats video! These are highlights from a camera trap survey of mammal biodiversity carried out by students on our Savannah Ecology and Conservation field course in September 2022.
Переглядів: 100

Відео

R Markdown Course Part 2
Переглядів 4003 роки тому
Part 2 of the R Markdown course. Again probably only of interest if you were there.
R Markdown course part 1
Переглядів 8393 роки тому
Recording of an online R Markdown course. Probably only of interest if you were there. Useful links: research.sbcs.qmul.ac.uk/r.knell/Rmarkdown_formatting.html research.sbcs.qmul.ac.uk/r.knell/Example_document.html
Linear models in R: Principles of Model Selection
Переглядів 3 тис.4 роки тому
When we're fitting statistical models, how do we decide on a set of candidate models, and how to we choose between those candidate models?
ANOVA coefficients tables in R explained
Переглядів 4,6 тис.4 роки тому
The coefficients tables that R produces for linear models are a frequent source of confusion. Here we run through how we can interpret these for single and multiple factor ANOVA-type models.
Correlation analysis
Переглядів 4574 роки тому
Correlation explained: how to calculate a correlation coefficient, what it means, how to test for significance and how to do it in R
Chi square test
Переглядів 4634 роки тому
Chi-square test for association explained
T-tests Part 2: Two-sample t-test
Переглядів 2584 роки тому
The basics behind the two sample t-test explained, along with interpretation and how to do one in R.
T-tests Part 1: Paired-sample t-test
Переглядів 2814 роки тому
How does a paired sample t-test work, what does it mean and how to do it in R
Linear Regression 2: partitioning variance and statistical significance
Переглядів 1 тис.4 роки тому
How partitioning variance works in a linear regression and how we can construct an ANOVA table to carry out a statistical significance test
Linear Regression 1: finding the line of best fit
Переглядів 6894 роки тому
How to calculate the intercept and slope of a best fit line in linear regression
Generating an ANOVA table from partitioned variance
Переглядів 6264 роки тому
This video follows on from "Partitioning Variance for ANOVA" and explains how to generate an ANOVA table from the sums of squares calculated when you partition your variance
Assumptions and Diagnostics for ANOVA, Regression and more complex Linear Models
Переглядів 1,1 тис.4 роки тому
ANOVA, Linear Regression and the more complex analyses that make up the General Linear Model all rely on certain assumptions about the data being analysed. In this video I explain what these assumptions are and how they can be checked using the diagnostic plots that can be produced when a linear model is fitted.
Partitioning Variance For ANOVA and linear modelling
Переглядів 2,5 тис.4 роки тому
Partitioning variance is the fundamental process underlying analyses such as ANOVA, linear regression and the general linear model. Here I explain how it works in a straightforward way using an ANOVA-type example.
RStudio code editing tips and shortcuts
Переглядів 3,7 тис.4 роки тому
RStudio code editing tips: Keyboard shortcuts, Bracket matching, Reformat and reindent code, Duplicate lines, Autocomplete, Find and replace, Code sections, Code folding, Document outline, Snippets
RStudio projects
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RStudio projects
Rstudio basics
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Rstudio basics
Drawing and interpreting scatterplots
Переглядів 2064 роки тому
Drawing and interpreting scatterplots
Inter-quartile range
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Inter-quartile range
Variance and standard deviation
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Variance and standard deviation
Mean and median
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Mean and median
Frequency histograms
Переглядів 4774 роки тому
Frequency histograms
Boxplots explained
Переглядів 2804 роки тому
Boxplots explained
Ordination using NMDS (Non-metric multidimensional scaling)
Переглядів 26 тис.5 років тому
Ordination using NMDS (Non-metric multidimensional scaling)
Regression and Linear Model Coefficients in R
Переглядів 3,1 тис.6 років тому
Regression and Linear Model Coefficients in R
Species Accumulation Curves
Переглядів 22 тис.6 років тому
Species Accumulation Curves

КОМЕНТАРІ

  • @prernaprasad7665
    @prernaprasad7665 2 місяці тому

    This explaination was very helpful. It was very clear.

  • @rubenmoler5202
    @rubenmoler5202 3 місяці тому

    Amazing Vid!!!!!!!

  • @JamieBrewster
    @JamieBrewster 7 місяців тому

    An excellent video, thanks Rob!

  • @erniebanares1401
    @erniebanares1401 8 місяців тому

    great illustrations

  • @misst.4109
    @misst.4109 Рік тому

    Thank you so much for your videos, Rob! Very much appreciated!!

  • @saraalshehri563
    @saraalshehri563 Рік тому

    Thank you so much it is really informative course

  • @krikamoleno19
    @krikamoleno19 Рік тому

    What went inside ordihull () ? and points() ? I tried with ordi1 and I got error messages 😅

  • @ahmed007Jaber
    @ahmed007Jaber Рік тому

    Thank you for this. I loved the below use ctrl+P to move between beginning and end of brackets shift+ctrl+ D to duplicate a line select the word you want to replace and then Ctrl+e to open the replace window alt+ctrl+shift+m to rename in scope

  • @haraldniederstatter4068
    @haraldniederstatter4068 2 роки тому

    Brilliant! Thank you so much for the clear explanation!!!

  • @kmlee8408
    @kmlee8408 2 роки тому

    Best explanation ever

  • @Jcakiiiii
    @Jcakiiiii 2 роки тому

    Such a great video! Thank you!!!

  • @minhajahmad6304
    @minhajahmad6304 2 роки тому

    Very nice vidieo sir..... Can you make vidieo on another project with code

  • @justinyow2057
    @justinyow2057 2 роки тому

    Never understood what was going on with NMDS until now. Great video

  • @chelseajmw
    @chelseajmw 2 роки тому

    Bless you! This helps so much!!

  • @josecastro4143
    @josecastro4143 2 роки тому

    Thank you for your videos.

  • @kqdzia7550
    @kqdzia7550 2 роки тому

    Thank you for this tutorial, it's incredibly helpful! I was struggling with understanding the model summary in class but now I get it

  • @kalpanarautela320
    @kalpanarautela320 2 роки тому

    .... Can we do the same analysis for a single species instead of community ..? Could you please help me with this ...

    • @RJKnell
      @RJKnell 2 роки тому

      If you want to estimate population sizes there are related techniques based on mark-recapture techniques (Have a look at Bill Sutherland's book on Ecological Census Techniques) but that's the only thing I can think of that's similar but for a single species only.

  • @SamirNeg
    @SamirNeg 2 роки тому

    Thanks a lot for uploading all of this really helpful material!

  • @bertiefilms1
    @bertiefilms1 2 роки тому

    Thanks Rob, really helpful!

  • @mohammedkasim2496
    @mohammedkasim2496 2 роки тому

    Thank You so Much. Its very helpful material.

  • @ahmed007Jaber
    @ahmed007Jaber 2 роки тому

    thanks mate for this; is there a way to split tables to fit available space in slides

  • @alfredoalarconyanez4896
    @alfredoalarconyanez4896 3 роки тому

    This was very well explained, thank you !!

  • @dr.vthomas1389
    @dr.vthomas1389 3 роки тому

    Good explanation teacher. The visuals help explain the concept better.

  • @matsolsthoorn9590
    @matsolsthoorn9590 3 роки тому

    Mate, I never understood this and you've helped heaps! Thank you! :)

  • @lisaamante5384
    @lisaamante5384 3 роки тому

    Las Vegas, NV, USA: Excellent assistance! Clear, well-paced. Really appreciated the tips on our ability to modify CVS on-the-fly in the View tab, and demonstrating the different ways to search. I had no idea you could search for something inside a file. Thanks, Rob!

    • @robkstatistics8224
      @robkstatistics8224 3 роки тому

      Thank you! Glad you found it useful.

    • @CharIieStar
      @CharIieStar 2 роки тому

      Hey I'm in Las Vegas also! Thank you Rob for the tutorial 😊

  • @JibHyourinmaru
    @JibHyourinmaru 3 роки тому

    DAMN, YOU EXPLAINED IT SO NICELY. I get it now! thank you so much! subscribed!

  • @isadorabordini9528
    @isadorabordini9528 3 роки тому

    Thank you! Great explanation!

  • @madhubaheti8662
    @madhubaheti8662 3 роки тому

    Can you please upload the source code for this projcet

  • @mauricioalejandrogilprieto1838
    @mauricioalejandrogilprieto1838 3 роки тому

    Thank you, this video was great!

  • @seeyahasites6079
    @seeyahasites6079 3 роки тому

    What’s the keyboard shortcut to show the keyboard shortcut reference

    • @robkstatistics8224
      @robkstatistics8224 3 роки тому

      Go to help -> keyboard shortcuts help. On a Mac the shortcut for this is option-shift-K.

  • @omartovar7484
    @omartovar7484 3 роки тому

    amazing explanation! thanks!

  • @dambaim5213
    @dambaim5213 3 роки тому

    Ty!

  • @marawynarts7027
    @marawynarts7027 3 роки тому

    Thank you very much! Very helpful.

  • @asifkhattak1592
    @asifkhattak1592 3 роки тому

    Thank you for such a good explanation, very precise. I have a problem, I'm unable to draw a good line for factor levels after color-coding them, I have used your codes but not working for me, do I need to add a library?

  • @gavinaustin4474
    @gavinaustin4474 4 роки тому

    Hi Rob, Thanks for this excellent video. I have a question about the small difference between the intercept values in the without-interaction model (149.2698) and the with-interaction model (148.9856). I can see why these values are different: in the without-interaction model, the slopes have to be parallel, but in the with-interaction model this requirement is relaxed. I also get that, in the with-interaction model, the intercept value is the mean of the two reference levels, since this is the ‘full’ model (i.e., with no loss of info). My question is: how do we calculate the intercept value in the without-interaction model? In other words, what exactly is the source of the small difference between 149.2698 and 148.9856?

  • @jolittevillaruz5234
    @jolittevillaruz5234 4 роки тому

    great explaination

  • @jennsimons4413
    @jennsimons4413 4 роки тому

    What a well done video - thank you!

  • @mcalencastro
    @mcalencastro 4 роки тому

    Perfect!

  • @morganhughes8423
    @morganhughes8423 4 роки тому

    You are actually now my hero.

  • @killerkamatis2243
    @killerkamatis2243 4 роки тому

    Thank you for this.. just started learning statistics for R. You are a blessing sir.

  • @larterretral
    @larterretral 4 роки тому

    These vids are seriously great! Thanks, man!

  • @larterretral
    @larterretral 4 роки тому

    Very useful! Thanks!

  • @thandokazisam5981
    @thandokazisam5981 4 роки тому

    Well explained 👌

  • @gavinaustin4474
    @gavinaustin4474 4 роки тому

    Another excellent video. Thanks Rob.

  • @chrishyslop9857
    @chrishyslop9857 4 роки тому

    Thanks for the explanation! Could you please give a link or explain the code you used to construct the specaccum graph in R?

  • @mynamejeff4691
    @mynamejeff4691 4 роки тому

    does this work on windoes operation system?

    • @robkstatistics8224
      @robkstatistics8224 4 роки тому

      Certainly does: some of the menus and keyboard shortcuts might be different but that's all.

    • @mynamejeff4691
      @mynamejeff4691 4 роки тому

      @@robkstatistics8224 okay thank you!

  • @gavinaustin4474
    @gavinaustin4474 4 роки тому

    A simple, clear, to-the-point explanation. Thank you.

  • @flavianogueiradesa6634
    @flavianogueiradesa6634 4 роки тому

    Excellent! Thank you so much for the easy explanation!

  • @claudiocrespo4703
    @claudiocrespo4703 4 роки тому

    I got a stress value of 0.21. So, what means my value? Thanks for your kind reply

  • @elaichahmed102
    @elaichahmed102 4 роки тому

    Excellent présentation and easy to undresfand. BRAVO