between: Classify values into groups based on which numbers they're...

In taRifx: Collection of Utility and Convenience Functions

Description

Classify values into groups based on which numbers they're between. quantile.cutpoints creates a data.frame of quantiles for feeding into e.g. categorize()

Usage

  between(vec, cutpoints)

  bin(vec, n = 10)

  quantile_cutpoints(vec, probs)

Arguments

vec	Numeric vector to classify
cutpoints	Vector listing what values the grouping should be done on. Should include the max and the min in this list as well.
n	Number of groups to bin into
probs	Probabilities at which to create cutpoints

Value

Vector of length(vec) indicating which group each element is in (for between). Or vector of length(vec) indicating the lower bound of the group that it's in.

See Also

categorize

Examples

test <- runif(100)
between(test,c(0,.1,.5,.9,1))
bin(test,n=5)

Example output

  [1] 2 2 4 1 2 3 2 2 3 2 2 3 4 3 2 3 3 3 3 2 2 2 2 3 4 3 2 1 4 2 4 1 2 3 3 3 3
 [38] 2 1 2 4 2 3 3 2 2 2 1 2 3 3 2 3 3 2 3 3 2 3 1 3 2 1 2 3 2 2 3 2 3 3 2 3 3
 [75] 3 2 2 1 2 2 3 2 3 2 1 3 4 3 3 2 1 2 3 3 2 2 3 3 2 3
  [1] 0.36377958 0.01767067 0.80453897 0.01767067 0.18865208 0.55984570
  [7] 0.01767067 0.18865208 0.55984570 0.18865208 0.36377958 0.55984570
 [13] 0.80453897 0.80453897 0.01767067 0.80453897 0.55984570 0.36377958
 [19] 0.55984570 0.36377958 0.01767067 0.18865208 0.18865208 0.55984570
 [25] 0.80453897 0.55984570 0.01767067 0.01767067 0.80453897 0.18865208
 [31] 0.80453897 0.01767067 0.18865208 0.36377958 0.55984570 0.80453897
 [37] 0.36377958 0.36377958 0.01767067 0.01767067 0.80453897 0.36377958
 [43] 0.80453897 0.55984570 0.01767067 0.18865208 0.18865208 0.01767067
 [49] 0.18865208 0.55984570 0.55984570 0.01767067 0.80453897 0.55984570
 [55] 0.18865208 0.80453897 0.80453897 0.01767067 0.55984570 0.01767067
 [61] 0.80453897 0.18865208 0.01767067 0.18865208 0.55984570 0.36377958
 [67] 0.36377958 0.80453897 0.36377958 0.55984570 0.55984570 0.01767067
 [73] 0.36377958 0.80453897 0.80453897 0.36377958 0.36377958 0.01767067
 [79] 0.18865208 0.18865208 0.80453897 0.18865208 0.55984570 0.36377958
 [85] 0.01767067 0.55984570 0.80453897 0.55984570 0.36377958 0.18865208
 [91] 0.01767067 0.18865208 0.80453897 0.36377958 0.18865208 0.36377958
 [97] 0.36377958 0.36377958 0.18865208 0.55984570

taRifx documentation built on April 14, 2020, 6:27 p.m.