Hellow guys, Welcome to my website, and you are watching Cleaning and manipulating data with the tidyverse: dplyr, readr, and stringr in action (CC121). and this vIdeo is uploaded by Riffomonas Project at 2021-06-30T09:00:36-07:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | Cleaning and manipulating data with the tidyverse: dplyr, readr, and stringr in action (CC121) |
| Video Uploader | Video From Riffomonas Project |
| Upload Date | This Video Uploaded At 30-06-2021 12:00:36 |
| Video Discription | Data cleaning is one of the more undervalued steps in a data anlaysis. In this episode we'll use a variety of functions from the tidyverse to get three data frames into the right format and then we'll join them all together. This will help us get ready for downstream analyses looking for microbiome-based biomarkers associated with colorectal cancer. In this episode, Pat will use the #tidyverse in #RStudio. The accompanying blog post can be found at https://www.riffomonas.org/code_club/2021-06-30-data-cleaning. If you're interested in taking an upcoming 3 day R workshop, email me at [email protected]! R: https://r-project.org RStudio: https://rstudio.com Raw data: https://github.com/riffomonas/raw_data/releases/latest Workshops: https://www.mothur.org/wiki/workshops You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ 0:00 Introduction 2:29 Tidying a mothur shared file 6:21 Formatting a taxonomy file 15:14 Calculating genus relative abundances 17:39 Formatting metadata and joining to relative abundances 23:31 Committing changes 24:26 Recap |
| Category | Science & Technology |
| Tags | tidyverse data cleaning | tidyverse rstudio | stringr | dplyr | read_tsv | inner_join | group_by | pivot_longer | microbiome rstudio | microbiome tidyverse | microbiome R | microbiome machine learning | tidyverse | r machine learning | microbiome data analysis | microbiome data analysis in r | microbiome data analysis tutorial | tidyverse tutorial | tidyverse r | tidyverse course | read_csv r | tidyverse r install | read csv file | dplyr in r | microbiome research | microbiome r package | microbiome recipes |
