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Joshua French
เข้าร่วมเมื่อ 23 เม.ย. 2013
The professional TH-cam channel for Joshua French. The posted videos are posted for courses I have taught.
Parallel computing, progress bars, and apply functions in R
We discuss how to perform parallel computing and add progress bars in the context of vectorized apply functions. We provide several examples of this.
An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
มุมมอง: 404
วีดีโอ
The mapply function explained and illustrated
มุมมอง 85ปีที่แล้ว
We discuss how to use the mapply function in R and provide examples of its use. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
The tapply function explained and illustrated
มุมมอง 102ปีที่แล้ว
We explain how to use the tapply function and provide some examples of its use. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
The lapply, sapply, and vapply functions in R
มุมมอง 253ปีที่แล้ว
We explain how to use the lapply, sapply, and vapply functions in R. We provide several examples of their use. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-st...
The apply function explained and illustrated
มุมมอง 57ปีที่แล้ว
We discuss the vectorized apply function for matrices, data frames, and arrays in R. We also provide several examples of its use. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/m...
Loops versus vectorization in R
มุมมอง 97ปีที่แล้ว
We discuss the difference between loops and vectorization in R and also how to benefit from vectorized operations. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-contro...
The bisection method using a while loop
มุมมอง 162ปีที่แล้ว
We implement the bisection method using a while loop in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
Basic while loops in R
มุมมอง 37ปีที่แล้ว
We describe what a while loop is and demonstrate how to create them in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
Tallying a frequency table using tapply in R
มุมมอง 87ปีที่แล้ว
We use the tapply function to create a frequency table in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
Bootstrap confidence interval example
มุมมอง 147ปีที่แล้ว
We describe bootstrap confidence intervals and explain how to construct them using the lapply function in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-stat...
The vectorized apply functions in R
มุมมอง 35ปีที่แล้ว
We provide an overview of the vectorized apply functions in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
Nested for loops
มุมมอง 37ปีที่แล้ว
We discuss what nested for loops are and provide an example based on computing distances between observations in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-contr...
Determining the K nearest neighbors (KNN) in R
มุมมอง 158ปีที่แล้ว
We illustrate how to find the K nearest neighbors of a set of observations in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb.
Q-q plot variability for loop example
มุมมอง 74ปีที่แล้ว
We introduce the idea of a q-q plot and discuss how to assess the variability of a q-q plot using simulated data and a for loop. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/ma...
Basic for loops in R
มุมมอง 104ปีที่แล้ว
We discuss what a for loop is and provide examples of how to implement a for loop in R. An interactive version of the source material is available at colab.research.google.com/github/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-apply.ipynb. More generally, the source material is available at github.com/jfrench/DataWrangleViz/blob/master/08-control-statements-iteration-appl...
Optimizing matrix algebra operations in R
มุมมอง 52ปีที่แล้ว
Optimizing matrix algebra operations in R
Thank you so much for this video! I'm taking an Applied Statistics class and for some reason, linear regression just isn't clicking in my mind, but your presentation here makes it make so much more sense!
Very very instructional Joshua, thank you so much!
Thanks so much for this wonderful demonstration. I'm new to Github, please how do I change blog title text to another colour like blue or yellow?
Hello, can you help me? Whenever I render my qmd, it does not load any website
The dataset?
The penguins data set in the palmerpenguins R package.
Good morning sir, I have collected 800 soil samples from different districts of Manipur State in India. The soil samples were analysed for different forms of soil acidity. Sir I wish to prepare a soil acidity map of Manipur state using my data. Sir Could you share some of your knowledge to prepare.
How can I link the existing Quarto project on R to github? @Joshua French
Thanks for teaching
Thanks Joshua... i am able to understand very well about quarto website
Thanks
It does help to get away with my quiries ❤
Hello, Josh thanks for the instructions do you have similar instructions for how to create a book, and a journal? Thanks
Great video!
Thank you
10:03 hat beta 1 = sum(x i - overline x )(y i - overline y ) sum(x i - overline x )^ 2 = sum(x i - overline x )y i sum(x i - overline x )x i = sum x i y_{i} - 1/n * (Sigma*x_{i})(Sigma*y_{i}) sum x i ^ 2 - 1 n ( sum x i )^ 2 . 😢Plz can u explain how the first equal to hat beta 1 has been derived 😢😢 have been trying to figure out since morning 😭 can't find my way around it
very helpful🎉 thank you very much!
G O A T
Wonderful!
Hi Joshua, would you pls upload that pdf used in your videos? thanks in advance
Would it be possible to have multiple output directories, such as revealjs for one folder and html for another?
The answer should be yes, but I'm not sure you can do both at the same time. And you may need to do a "manual" version of this where you comment/uncomment parts of your YAML header to get the different behavior, requiring you to compile it two times.
Thank you for taking the time to make this little series. It was very helpful.
Thank you so much
Thanks so much!
Thanku so much sir, was looking for the proofs everywhere but I finally found it here.
Hi Joshua, Interesting video! I was experimenting with permutation tests in regression and found my p-values for coeffcients are simular to those generated by using a t distribution. The one exception seems to the p-values for the intercept term. Is there a reason for this? Do you know of any way to correct for it? Thanks.
extremely simple, and lucid! Thanks
Thank you for taking the time to make these videos (and for sharing your content on github). I am now following along.
Concise and clear explanation. Thank you.
thanks
this is very clear, thank you for spending time creating the video
Thanks for the encouragement!
i love you
my dog just shat in my bed
Thank you so much for your dedication to teaching young minds!!!!!!!!!!!!
Thanks bro
why would you round that up if the next number to that decimel value is below 5?
You always round up even if decimal is lower than 5 so 4.2 is rounded up to 5 and 6.1 is 7 and so on.
Thanks for this! If I want to make additional changes to my website how would push those to the repo so it updates?
thank you so much!!!!
감사합니다 ㅠㅠ 덕분에 이해했습니다!!!!
🤔 3:00 I didn't understood one thing that why did we round off 13.3 to 14 we would have round it to 13.
This CONFUSED me too
It's not round off its round up
godlike
I dont understand those your tally and observations...how
You're the best 🙌🙌🙌🫡🫡🫡
What does "deploy is waiting for github-pages deployment approval" mean? I have completed all the same steps outlined in your videos but reach this point as part of the actions and I wait upwards of 10-15 minutes with no deployment of the page.
Hi Will, you shouldn't need to do anything under Actions, only the Pages settings.
@@jfrench Thanks for the reply. I figured out the issue...I was using regular markdown files (.md) and not quarto files (.qmd) and fixing this seemed to allow my page to deploy!
Great Content. I have a question though. If you're not given the value for number of classes. how do we calculate that part??
You always should be gIven that, it’ll either be bin width or some categorical number that tells you how many groups.
Thank you very much. Very useful.
R=48-18=30 m=5 h=30/5=6 If I make 5 classes of height 6 then I do not get the highest value in the last class Limit. Please tell me how to solve this
Thanks for the big help 😊
you're doing the lords work joshua!!!! thank you for this! Do you have a link to the files you're presenting on these videos?
The complete list for all videos is here: github.com/jfrench/DataWrangleViz. You can download the specific html file you want here: raw.githubusercontent.com/jfrench/DataWrangleViz/master/04-data-frame-manipulation.nb.html
Okay and now how do I get this onto the site hosted at github?
th-cam.com/video/uimdXPZc40I/w-d-xo.html