Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library

Just started Learning R Programming and your videos are some of the best and easiest to follow. Keep up the great work!

@RProgramming101

2 жыл бұрын

Thanks for the encouragement!! Will do :)

Thank you for these tutorials! So far, your channel is the best one I've found to start learning R. Keep up the good work! We appreciate it!

Great content, Greg. Thanks much for taking the time to put it all together.

Great work! It re-ignited my passion for R. Thanks a lot!

Please, please keep making these videos. It is crucial for us data analyst who are just getting started and would like to continue expanding our knowledge. I would even donate if you had a patreon

Thank you for making these videos, it must take a lot of your time in preparation and editing. Cheers from Scotland.

Honestly, I've never done anything in R before, just started randomly watching this video. I understood EVERYTHING! Just amazing, definitely subscribed.

Thank YOU so much! I've learned a lot about R functions. I will be watching the rest of your video tutorial. Thank YOU, Professor!

Well done for the fantastic lectures that make life with R easier

Great tutorials and huge thank you for your content! I always use a split screen with my data set on the left and your videos on the right. Please keep providing! Greetings from Berlin

Thank you, Greg. You are the best!

Your videos are amazing and so helpful for half beginner to look like a pro!

I love these videos. They are so incredibly helpful. Thanks a million!

Great to see the level of detail to learn R here. You are so right about cut and paste 🙂

Thank you for these kind of content, someone who is learning via internet… I salute you 😊

Learned different methods of performing same tasks. Great work ser!

Your videos are simply great! I feel I've become a bit more proficient with R also thanks to you. I recently started to do some PCA on my datasets and I'm wondering if you could give an introduction to multivariate analysis with R in your next videos. Keep up the good work 👍

@RProgramming101

2 жыл бұрын

Thanks !!! :)

This is so helpful, thank you so much! I am on the capstone project for Coursera analytics 8 part course and I am SO LOST lol. I know exactly what I want to see, but throughout the course there was only 1 module on "R" and many bookmarks were noted. But the commands are not organized so it takes hours to see what code is necessary to clean something or narrow the data that you are looking for. I think that I chose a project that has an overwhelming amount of data... and it has my Kaggle freaking out lol... I WAS going to use RStudio but I was having trouble importing the datasets that I needed so I figured that if I could just code in Kaggle; and that was the platform that I was going to showcase the project on (AND that is where I found the datasets that I am using) I might as well just run the code there.. but it is taking months lol.

Wow thank you so much for this! You have taken away my fear of using this program, with this video I broke through a WALL that was in between me and my data analysis. Very clear way of explaining things as compared to other videos.

@RProgramming101

Жыл бұрын

Wow - what a nice thing to say (thanks!!)

Good work right here. Consider doing another on data imputation especially using MICE, I know it'll be🔥🔥. Waiting, thanks in advance

the way of your teaching is "THE BEST " Thanks for giving the best information

@RProgramming101

2 жыл бұрын

You are most welcome. Thanks for the comment!

Wow, but also feel bad that why I didn't discover your videos earlier. Great experience!

Thank you for the great videos, so well explained, it's like you knew what I needed!

@RProgramming101

2 жыл бұрын

You are so welcome!

Your videos are simply great!

Thank you! I needed to catch up to all things tidyverse and your videos have been an absolute life saver. It's like you know exactly how my brain works. Are you going to get to spatial data and the 'sf' package at some point?

Best R teacher, thanks a lot, it was a great video!

Great video for someone about to move into a position scoping data visualization using the R Suite of applications.

@RProgramming101

Жыл бұрын

Thank you for the feedback.

Omg love your videos just finished a r training and feel i have learnt so much from jus 3 or ur videos.. 💛💛💛💛💛

@RProgramming101

2 жыл бұрын

I'm so glad! Thank you for the feedback.

Thank you for this great tutorial!

@RProgramming101

Жыл бұрын

Glad it was helpful!

Glad that u are back! Thank you

@RProgramming101

2 жыл бұрын

More to come! Thank you!

So incredibly helpful! THANK YOU

@RProgramming101

Жыл бұрын

Glad it was helpful! Thanks!

This is nice, can you do CCA ANALYSIS

really very cool videos i hope you explain more about survival analysis and regression

I am a beginner in R and I found your videos are the best. Very helpful, thank you so much.

@RProgramming101

2 жыл бұрын

I'm so glad! Thank you for your kind feedback

Thank you sir, you explain it well ..appreaciate

Hello, I have been using R for 10 years and the Tidyverse for about a year or two. This channel is fantastic. What software do you use to do the coloured, highlighting, annotations ? Thanks

Brilliant job... Thanks a lot

Simply the Best -> I love it

@RProgramming101

2 жыл бұрын

Thanks for the kind comment :)

this was sooo helpful! thank you

Thank you this was so helpful

Thank you for this great lesson!

@RProgramming101

Жыл бұрын

Glad you liked it!

Excellente~! Thanks -

It was a great start.

Greg you are an amazing teacher! can you make videos on PCA and ANOVA using R. Thanks!

@RProgramming101

2 жыл бұрын

Great suggestion! will do

Masterful instruction.

@RProgramming101

2 жыл бұрын

thanks for the kind comment (much appreciated)

Fantastic teaching!

@RProgramming101

11 ай бұрын

I'm glad you enjoyed the video! Your positive feedback means a lot to me.

This is so useful!

@RProgramming101

Жыл бұрын

I'm so glad! Thank you for the feedback.

Thanks very much for the great teaching way you do. I would highly appreciate if you can do a video about cluster using R.

@RProgramming101

2 жыл бұрын

Great suggestion! You are most welcome :)

@aseelaraji7045

2 жыл бұрын

@@RProgramming101 Thank you very much

Super helpful video, thanks!

@RProgramming101

2 жыл бұрын

You're welcome!

Thank you very much. Very helpful

@RProgramming101

2 жыл бұрын

Glad it was helpful! Thanks for your feedback

thank you for making it so understandable....

@RProgramming101

Жыл бұрын

So nice of you to say, Sania - thanks for the great feedback!!

Thanks a lot.

@RProgramming101

2 жыл бұрын

Most welcome!

Great Tutor.

@RProgramming101

Жыл бұрын

Thanks!

Oh wow! Nice😊

@RProgramming101

Жыл бұрын

Thanks! 😊

Great video!

@RProgramming101

11 ай бұрын

I'm glad you enjoyed the video! Your positive feedback means a lot to me.

You make R interesting.

@RProgramming101

Жыл бұрын

Thank you!

It would be amazing if you do a full on tutorial on the R package called caret and machine learning. :)

@RProgramming101

Жыл бұрын

Great suggestion! Thank you!

many thanks!

@RProgramming101

2 жыл бұрын

You are most welcome.

vary Tx sir,

Thank you!

@RProgramming101

Жыл бұрын

You're welcome!

Gender and sex is now updated in the dataset. (gender in this video was what sex is now; female/male)

@RProgramming101

12 күн бұрын

ah - interesting. Thanks for pointing that out.

I humbly request you to do a video on Bayesian mixing models using R statistics software.

@RProgramming101

2 жыл бұрын

Noted on this one, thank you! :)

Very helpful for teaching students

@RProgramming101

2 жыл бұрын

Glad you think so!

this is so helpful

@RProgramming101

2 жыл бұрын

Glad you found it helpful!

Thanks!!

@RProgramming101

2 жыл бұрын

Welcome! Thanks for watching

thanks to you!

@RProgramming101

Жыл бұрын

Thank you too! Glad you liked it!

Thanks

Hi, just a quick question when I use this line of codes sort(table(starwars$hair_color)) it is now showing the NA values , is it because of R does not know what the NA values are and can not sort it ? Do I think right ?

Amazing :)

@RProgramming101

Жыл бұрын

Thank you! Cheers!

where have you been?? keep it up!!

@RProgramming101

2 жыл бұрын

haha - day job has been busy - but want to do more of this (I love this stuff).

I've checked but can't find it. Where is the playlist for explore-clean-manipulate you mention in these videos? There are four playlists but none on that cycle exactly :)

@easydatascience2508

Жыл бұрын

You can try mine too. The playlist for Python and R provide most of the fundamentals. Source files downloadable.

Did anybody by any chance in the very beginning instead of having as the format 87 rows and 13 variables they have A tibble with 87 rows and 14 variables?? If so how could I change the variable count to match his? Any help is appreciated thank you!

@afonsoosorio2099

Жыл бұрын

I have just tried Dim(starwars) and the output was 87 14

How to solve Partial Differential Equations in R?

Hi, I cannot find any library tidyverse on R studio these days ??

Tidyverse

Please HELP! Why are the functions "arrange" and "filter" not working on my data even after I have made sure and confirmed that the columns are numeric types of data?

Where can I find the code?

> select(hair_color) Error in UseMethod("select") : no applicable method for 'select' applied to an object of class "character" This is the error system is throwing.

@kazimalithedon

Жыл бұрын

I have installed the package dplyr, still the problem persists. I am still not able to use the code - > starwars %>% + select(hair_color) %>% + arrange(desc(n)) %>% + View()

lifeline!

I think the recent update has changed this dataset starwars

Why can't I install tidyverse?

Can you do a difference in differences analysis in R. Thanks

my version of the starwars data renames gender as sex, and gender becomes "masculine",and "feminine"

Excuse me, Sir, why not You make it/them more simplified? For example, gender, height and weight or fresh and dry weight (plant) to draw histogramme

savage vdo. thankssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss!

The StarWars dataset is no more available.

daughterset

Starwars

Amazing! Thx a lot, it really helped me to get my first steps in this new language, if you dont mind, I typed all the codes you showed and put some explanations on portuguese for those who might find it useful... ```{r} # Explorar # Limpar # Manipular # Descrever # Visualizar # Analisar install.packages("tidyverse") library(tidyverse) # Para ver quais sao as bases de dados que estao dentro do tidyverse data() # Qunado colocamos uma interrogacao antes da base de dados, o sistema retorna algumas informacoes sobre importantes sobre a base ?starwars # O comando abaixo retorna o tamanho da base de dados, ou seja, quantas observacoes e quantas variaveis. Esta e a dimensao da base de dados, linhas e colunas respectivamente. dim(starwars) # A funcao abaixo mostra a estrutura dos dados. Nela nos vemos o nome das variaveis, o tipo dos dados e o valor de algumas primeiras observacoes no formato de lista, pode ficar um pouco confuso... str(starwars) # O comando abaixo, glimpse, faz a mesma coisa, no entanto e um comando especifico do tidyverse. Ele e menos poluido visualmente glimpse(starwars) # O comando View, com V maiusculo, abaixo os traz um visao muito mais moderna da base de dados, como se tivessemos vendo no excel mesmo. No entanto esta visualizacao e feita em uma nova aba. View(starwars) # Usado para visualizar as primeiras observacoes da base, como padrao 6. head(starwars) # Mesma coisa do comando head, so que para as ultimas observacoes tail(starwars) # Se voce quiser ver especificamente uma unica variavel starwars$name # O comando attach faz com que o R entenda que estamos trabalhando somente com essa base, e, entao nao precisamos mais indicar que se trata da base de dados starwars por exemplo attach(starwars) detach(starwars) # O comando names mostra os nomes das variaveis names(starwars) # O comando length traz pra gente o numero de colunas dessa base length(starwars) # O comando class retorna o tipo de dados de que se trata a variavel em questao class(hair_color) # Quando colocamos length no nome de uma variavel o que obtemos e o numero de observacoes dessa variavel length(hair_color) # O comando unique nos traz os valores unicos presentes nessa variavel unique(hair_color) # Traz a frequencia com que a variavel assumiu determinado valor table(hair_color) # Sort ira sortir os valores abaixo do comando table do menor para o maior sort(table(hair_color)) sort(table(hair_color), decreasing = TRUE) # Do maior para o menor # Abre uma nova aba onde podemos ver o resultado do comando sort dentro do layout do View View(sort(table(hair_color), decreasing = TRUE)) # O comando abaixo apresenta um grafico de barras sobre as observacoes sortidas em ordem decrescente barplot(sort(table(hair_color), decreasing = TRUE)) # O comando %>% significa para o R executar a partir de %>% ate antes do proximo %>% starwars %>% select(hair_color) %>% # Apresenta a variavel com o valor de suas observacoes count(hair_color) %>% # Conta quantas vezes a variavel assumiu determinado valor arrange(desc(n)) %>% # Mostra os primeiros valores num layout tipo excel # Vamos agora ver como isolar os valores NA, aqueles que nao foram coletados, para olhar mais de perto # Seleciona todas as linhas e colunas da base starwars[ , ] # Responde se cada observacao e ou nao e um NA is.na(hair_color) # Seleciona somenta as que estao com NA com todas colunas View(starwars[is.na(hair_color) , ]) # O comando abaixo serve para vermos o tipo da variavel height, lembre-se tem que ter rodado o comando attach antes para funcionar class(height) length(height) # numero de observacoes para cada varaivel summary(height) # resumo estatistico boxplot(height) # diagrama de caixa hist(height) # histograma ```

Thank you!

@RProgramming101

2 жыл бұрын

You're welcome!