Chi Squared Test using R programming
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- Опубликовано: 21 авг 2024
- The Chi Squared test of independence and the goodness of fit test are statistical tests used on categorical data. Using R programming you can very easily run these tests and generate a p-value. This video is really an R programming for beginners video. If you’re doing research or data science and need to learn how to analysis data using statistics, then this video is for you. The chi-squared tests is part of a series of tests being explored on this channel, including the t-test, ANOVA and linear regression. All of these tests require that you have a basic understanding of hypothesis testing.
Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library
I just recently started a programming course for my degree and have been incredibly intimidated the whole time. This video has single-handedly made my week because it's broken down wonderfully. I am so appreciative of you work, time, and passion
Glad it was helpful!
Thank you for saving our lifes !
Really good for both clarity & practicality, many thanks. Working my way through all your others & keenly awaiting the one on linear regression.
Awesome, thank you!
Linear regression posted today
"Now, we're cooking with gas." Love it. Never change!
I will share my achivments and questions during replicating materials that you showed in this video:
pros: 1. Accidentally I opened how to put comments in multiple rows (but if I want to use tab button - RStudio showed me @code...) - probably I'll open in a future what it means.
cons: 1. I am curious to know... where I can find whole code to build these graphs?
How i can build two graphs on the one plot?
P.S. I guess you have an explanation of it in your private course. Am I right?
2. How RStudio indentify "small" is small? or other kind of labels.
As always I thank you for this great video lesson! Hopefully, I am going understand it more and more.
Excellent as usual. I wait for every episode of your great tutorial.
Just one question. Can we run a post hoc analysis if chi square test is significant between 3 or more groups?
Great as always. Thanks so much
You're most welcome Paul
Thanks for your tutorial ! It helped again !
Glad it helped!
I would genuinely love to see the code for making those bar graphs. I'm sure I could figure it out, but I know it'd take me longer than I have time currently haha
Excellent video. But I am wondering if you could show us how to assign specific value to different lables?
Hi, maybe check out some other tutorial videos for forcats package
thank you very much!
Cheers!
I just loved it
Happy to hear that! Thank you for the feedback.
Excellent again. Many thanks 🙏
Thank you too! Glad you enjoyed it!
explained simple...voalá thanks
thanks for the feedback!
perfect
Glad you liked it.
Nice class. Thank you. Can u connect this with odds, odds ratio and Logistic regression 🤷♂️
Will do
i love you so much
What if your expected values are known?
is it possible to do analysis of co-occurrence network analysis using iris data, because I found some people shown it text data like word files. Can you please help me on that
When the fire is boiling in the blood.
PLEASE NEED HELP..how do I find the mean for..an example..the mean of age of graduate students which is under column named STATUS...so finding the mean for a column for another columns..hope this makes sense
What
Hi Lutfy you can do it like this (if you have the data just load it in your R environment, using read.csv or another function of readr library, if you want to install the package use install.packages("readr"))
# data to convert into a data frame, because i don't have the data, this is a way to make your own data, we use very often a data frame object, to create a data frame, use data.frame, if you want to give a lot of values in your columns use c() to concatenate values.
# Creating the columns and values inside it, the number of value must matches with each column.
Status = c("graduated", "not graduated","not graduated","graduated")
Age = c(21,25,20,50)
graduated_status %
summarise(my_mean = mean(Age))
Hope this help.
See ya
hi hoping someone can help, I read in the data using data() followed by head(iris), but at the end of running the script I get an error of 'Error in select(Species, Size) : object 'Species' not found'
Solved! I forgot to pipe the select function to the creation of the Size object. Leaving the comment for anyone else who makes the same mistake
hi there - thanks for the feedback! I have the cheat sheet available that you can get at the end of my video. Thanks
@@LeahInTheRye I did the same mistake...
@@sertansafak2056 glad my comment helped 😅
@@LeahInTheRye acc i solved it by myself, but just wanted to share that u're not alone
We don't love people so much for the