8.8 Variable Types

# Identify the numeric variables by index.

ds %>%
  sapply(is.numeric) %>%
  which() %>%
  intersect(inputi) %T>%
  print() ->
numi

##  [1]  3  4  5  6  7  9 12 13 14 15 16 17 18 19 20 21

# Identify the numeric variables by name.

ds %>% 
  names() %>% 
  magrittr::extract(numi) %T>% 
  print() ->
numc

##  [1] "min_temp"        "max_temp"        "rainfall"        "evaporation"    
##  [5] "sunshine"        "wind_gust_speed" "wind_speed_9am"  "wind_speed_3pm" 
....

# Identify the categoric variables by index.

ds %>%
  sapply(is.factor) %>%
  which() %>%
  intersect(inputi) %T>%
  print() ->
cati

## integer(0)

# Identify the categoric variables by name.

ds %>% 
  names() %>% 
  magrittr::extract(cati) %T>% 
  print() ->
catc

## character(0)

---

Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0