gather and spread functions from tidyr
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- Опубликовано: 22 авг 2024
- I offer one on one tutoring in R programming and Statistics. If you need help, please contact me at RstatisticsCoding@gmail.com
This video discusses how to convert a data set from wide to long or long to wide format using the spread and gather function from the tidyr package in r
This is the best demonstration I've seen on this! The labels (e.g. name of dataset, column name to gather...) helped immensely. Thank you so much!
Finally a good explanation ! Thank you!
0:17 gather() and spread() def
1:06 spread() example
2:30 gather() example
Geez, it took forever for me to understand how to do this with the documentation. Thank you for your great explanation!
Better explanation about it so far.
I still come here from time to time to remember how to do this. Thank you!
You are a life saver .. Thank you Sir a lot
Very clear. Thank you
Very clear and concise.
simple and understandable example thank you
Adam, you saved my day!
Exelente video. Exactamente lo que yo necesitaba
Muchas gracias
awesome !!!
what a compact !! nice :)
thank you for this video you have saved my life jajaajj
This isss great!!!! thanks a lot :)
this is a really nice explanation. Thank u
Thank u so much, You rocks !!!
Thx, helped me a lot
you are so good
Hi Adam, amazing and great lecture! Tell me, what tool do you use to add that brackets with text?
hi pls make more packages video and explain with relevant data table
Thanks for this !!!
Hi! i have a question. In mtcars data set in R i want to gather 8th, and 9th column i.e (vs,am). how can we do that?
Is this equivalent to pivoting in excel?
thanks buddy
Error in .f(.x[[i]], ...) : object 'Totals' not found getting this error when I type this code df %>% gather(df, Category, Totals,22:40). Any idea why?
@@nfljets37646 Thanks for the fast reply. It worked. How can write code to reference the sum of one of the values in my new column to see if this number matches my other values?
Good one ... Is this channel about R language ?
This always confuses me. Everytime -_- Thanks!