Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

CLICK HERE TO VISIT THE UPDATED SURVIVAL GUIDE

Identify Numeric Variables

We identify the numeric variables of a dataset by purrr::map()ing the function base::is.numeric() to find base::which() are numeric. Their names are stored into the variable numc.

# Note which variables are numeric.

vars %>%
  setdiff(ignore) %>%
  extract(ds, .) %>%
  sapply(is.numeric) %>%
  which() %>%
  names() %T>%
  print() ->
numc

## Error in as.vector(y): object 'ignore' not found