ColSeeker: Find numeric index and names of columns based on class(es)...

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Find numeric index and names of columns based on class(es) and patterns

Description

ColSeeker looks up colnames (by default for tibble rawdata) based on type and parts of names, using regular expressions. Be warned that special characters as e.g. [ ( need to be escaped or replaced by . Exclusion rules may be specified as well.

Usage

ColSeeker(
  data = rawdata,
  namepattern = ".",
  varclass = NULL,
  exclude = NULL,
  excludeclass = NULL,
  casesensitive = TRUE,
  returnclass = FALSE
)

Arguments

data	tibble or data.frame, where columns are to be found; by default rawdata
namepattern	Vector of pattern to look for.
varclass	Vector, only columns of defined class(es) are returned
exclude	Vector of pattern to exclude from found names.
excludeclass	Vector, exclude columns of specified class(es)
casesensitive	Logical if case is respected in matching (default FALSE: a<>A)
returnclass	Logical if classes should be included in output

Value

A list with index, names, backticked names, and count; optionally the classes as well

Examples

ColSeeker(data = mtcars, namepattern = c("^c", "g"))
ColSeeker(data = mtcars, namepattern = c("^c", "g"), exclude = "r")
assign("rawdata", mtcars)
ColSeeker(namepattern = c("^c", "g"), varclass="numeric")
num_int_data <- data.frame(num1=rnorm(10), num2=runif(10), int1=1:10, int2=11:20)
ColSeeker(num_int_data, varclass="numeric")  # integers are not found
ColSeeker(num_int_data, varclass=c("numeric","integer")) 

wrappedtools documentation built on Oct. 10, 2024, 5:07 p.m.