Using custom R functions and map, map_dfr, and map2 to create multiple ROC curves (CC123) скачать в хорошем качестве

Using custom R functions and map, map_dfr, and map2 to create multiple ROC curves (CC123)

Ever wonder how to write your own functions in R? Or how to deploy them using map functions? Check out this episode where Pat does all this while generating ROC curves for the biomarkers that we found were significantly different in people with and without screen relevant neoplasias (i.e., colon cancer). In this episode, Pat will use data handling functions from the tidyverse including #map, #map2, and #map_dfr from the purrr package as well as functions from the ggplot function using RStudio. The accompanying blog post can be found at https://www.riffomonas.org/code_club/.... 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_dat... 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 3:00 Getting FIT result and significant biomarkers 8:24 Calculating sensitivity & specificity 15:26 Generating data for ROC curve for FIR result 18:06 Generate ROC curve data for all biomarkers 21:22 Generating ROC curves 24:12 Recap