Відео

I didn't understand the concept of k what it would be, can you solve by letting k equals to some value

why not in 5 minutes?

I do appreciate it. R to me is a new programming language and I was browsing TY to see what should I and where to start. Yours in my opinion is the best one. Thank you

Does the fill command works only on NA cells or also in empty cells?

Will have to watch this video many more times at my pace. Otherwise, very nice and simplified video. Thanks Richard.

thanks a lot

Hi apologies I'm not quite sure how to search within the channel but does Andrew have an intro into Shiny apps?

Thank you so much for the tutorial video! Very helpful for me on learning a lot about data!!!

Great tutorial! Thank you! I've been frustrated with replicating R commands that I don't really understand, but your video have made that clearer

Thanks for making me dealwith R in Just one Video !!!

thanks this was a great help!

Just a note - the conv_multiunit function from the measurements package does a nice job on unit conversions (miles per gallon to km per liter)

Very nice. I am torn whether one should start with base R or jump straight into the tidyverse when teaching R. I get the feeling that one does not appreciate the beauty and simplicity of the tidy (and pipe) approach until one has "suffered" through a little bit of base R s nested approach. After all some things may not run or be needlessly complex in the tidyverse but simple in base R. Any thoughts? - Thanks.

Andrew, Your point about the missings is interesting but it only amounts to a percent (113 hrs) and may thus not be worth trying to impute. Besides that there could be simple explaination for the missing hours. Perhaps the bike company was closed for a holiday and/or buisness-related activities. Imputation might therefore not be warranted.

There is only ONE value with heavy rain/ snow so why not just skip it??? (run Bikeshare |> count(weathersit) for a table).

Good discussion - especially of why you chose to use Poisson.

Believe me, tons of hours and days are wasted to finally run over with content of value like this. Thank you so much

hi, do you offer live online lessons to teach R?

Good stuff!

There is nothing better than good old statistics in the era of ml/nn

You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube. Here's the link to my vid on the {broom} package: ua-cam.com/video/Oy1_A_ZhCY0/v-deo.html

awesome video!

for those who couldn't get arrange function done: library(dplyr) df=diamonds_sm df2<-df %>%arrange(color) view(df2)

I'm getting error in library(tidymodels)=not found and also in "initial_split" not found

How do you download air-quality files?

You're awesome. I heard to come back here, having watched one of your videos; learning R in 39 minutes. I have a question please I'm doing the data analysis for my research titled; modeling of selected classification methods and comparison of their performance in the classification of anaemia patients among Nigerian children. Now, I've not been using much of R before this work. So I ran into an issue with my dataset. I have one on of my predictor variables to be continuous. When I declared its class in R as numeric, all values for that variable were overwritten as NAs. I can't start checking each cell because there are almost 11,000 observations. How do I fish out where the problem is?

You're awesome. I heard to come back here, having watched one of your videos; learning R in 39 minutes. I have a question please I'm doing the data analysis for my research titled; modeling of selected classification methods and comparison of their performance in the classification of anaemia patients among Nigerian children. Now, I've not been using much of R before this work. So I ran into an issue with my dataset. I have one on of my predictor variables to be continuous. When I declared its class in R as numeric, all values for that variable were overwritten as NAs. I can't start checking each cell because there are almost 11,000 observations. How do I fish out where the problem is?

Hi. Thanks for this. With these examples you're assuming you have the population sd? In practice would you just use your sample sd?

Interesting. I find it easiest to understand lambda as a rate constant as in the decay of a radioactive isotope - N = N_o x exp(-gamma x time).

Excellent. Thank you

new to me: you can to CTRL-1 to shift to the "code pane" and CTRL-2 to shift to the "console" pane

Thank you

You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.

Thank you sir

Hey man, nice videos! I originally came to learn R but then started to speedrun calculus to remember it again. I like your videos a lot.

Thank you so much!!! Master student here after 11 years graduated from bachelor degree and never take any education after…recently all things should be corelated with statistic and Rstudio and I had to take repeat course this summer after not passed for data analysis 😢😢 it really helpful!!

Hii, i hope you can answer my quesiton i used stata to process my data... when I tried to use the normal distribution test using swilk, the result came not normally distributed (0,0000 significance T.T) so i tried the ln normal distribution option that came with swilk test in stata, and the significance when so high, def way above 0,05 but the problem is my data variable contains 0 and negative value, does this mean make the result invalid? or is it still valid ? I have return on asset ratio and non-performing loan as my variable hence there will be 0 and negative values.

Thank you very much!

F(y) ⁵ = [p(y)*y ]⁵ not y⁵?

Bro is literally saving me rn

thanks super helpful!

You are the BEST!

Why make positive comments without a 👍? I wish there is a code that enables you to make a hundred likes.

This was REALLY helpful! Thank you!

I can't believe that I'm saying this. But now I kinda love R!! I used to HATE R with every bit of my soul, that's largely because it's substantially different from other programming languages I'm used to (most importantly Python, I've always been team Python). But now, I know why R is pretty handy at times, not only for those who are unfamiliar with programming languages and only want to get the job done with simple code, but also for professionals who are tired of specifying every single little thing in their code/graph/... Thank you professor Andrew! I don't know if you realize it, but you do have a very unique way of illustrating concepts, and your approach on explaining the philosophy behind why R was designed the way it's designed really makes a huge difference. I'm really grateful to have found your videos, and I can't wait to finish this playlist (it's statistical programming with R btw) Speaking of playlists, why don't you collect your half-hour videos (the ones that you collect multiple concepts/functions) in R in one playlist so that you can deliver the highest value in the least number of videos with minimal repetition? I think that would be a good idea. I'm talking about videos like 'Learn R in 39 minutes', 'Data Wrangling in R in 27 minutes', 'Data Visualization with R in 36 minutes'. I wish you the best of luck!

thank you so much for these valuable lessons!

Insightful, now you’ve pushed me to work on this dataset

I cannot thank you enough for making this video. Even though I was missing on some things I understood deviance and it's importance to the core. Thank you so much. Stealing the quote from the back ground, love you to the moon and back.

Hi, Andrew, could you please make a tutorial for sample selection model? Thanks.

You can find materials supporting this vid (and others) at github.com/equitable-equations/youtube.