Cleaning and manipulating data with the tidyverse: dplyr, readr, and stringr in action (CC121) 

Thanks Victor! 🤓

Wonderful! So glad you learned something new. I mainly use tolower, but you can use any function with rename_all

Hah! I likely have a conflict of interest, but I’d strongly encourage you to work with your data in mothur instead

We’ll do some transformations but not for compositionality. Depending on your application that may be something to experiment with

@@Riffomonas Thanks, will wait for the tutorials. Your videos are really helpful :)

Tha is for watching! Sorry. Not that I’m aware of other than setting up multiple separate searches

@@Riffomonas i see. what I am thinking of and facing is that i have some entries like a code D alphabit d digits DDD-ddd-DDD this patter could repeat fully or partially e.g. DD-dd-DDD-ddd-dddd DDD-ddd-DDD-DDD-ddd-DDD the delimiter is always there

@@ahmed007Jaber Ah, maybe try using the separate function. If you look back through past episodes I have one in there on how to use it. Basically, it lets you separate a column by a delimeter into new columns

@@Riffomonas thank you; will check it

@@Riffomonas HI Pat, thank you for the effort you put in replying and sharing knowledge. your comments clicked with me. did look quickly at the aforementioned video and tried the following in regex to match another pattern str_extract(x, pattern= "(........) | (......)") it worked like a charm

Sorry for my midwestern drawl that tends to mangle some words. At least I know that “data” is plural though. #amirite?

It's all good. No problem.