pedometrics (version 0.6-3)

cont2cat: Stratification and categorization of continuous data

Description

Compute break points and marginal strata proportions, stratify and convert continuous data (numeric) into categorical data (factor or integer).

Usage

cont2cat(x, breaks, integer = FALSE)
breakPoints(x, n, type = "area", prop = FALSE)
stratify(x, n, type = "area", integer = FALSE)

Arguments

x

Vector, data frame or matrix; the continuous data to be processed.

breaks

Vector or list; the lower and upper limits that should be used to break the continuous data into categories. See Details for more information.

integer

Logical value; should the categorical data be returned as integers? Defaults to integer = FALSE.

n

Integer value; the number of strata that should be created.

type

Character value; the type of strata, with options "area", for equal-area, and "range", for equal-range strata. Defaults to type = "area".

prop

Logical value; should the marginal strata proportions be returned? Defaults to prop = FALSE.

Value

• A vector, data frame, or matrix, depending on the class of x.

Details

Breaks must be a vector if x is a vector, but a list if x is a data frame or matrix. Using a list allows breaking the data into a different number of classes.

See Also

cut2

Examples

## Compute the break points of marginal strata
x <- data.frame(x = round(rnorm(10), 1), y = round(rlnorm(10), 1))
x <- breakPoints(x = x, n = 4, type = "area", prop = TRUE)
x

## Convert continuous data into categorical data
# Matrix
x <- y <- c(1:10)
x <- cbind(x, y)
breaks <- list(c(1, 2, 4, 8, 10), c(1, 5, 10))
y <- cont2cat(x, breaks)
y
# Data frame
x <- y <- c(1:10)
x <- data.frame(x, y)
breaks <- list(c(1, 2, 4, 8, 10), c(1, 5, 10))
y <- cont2cat(x, breaks, integer = TRUE)
y
# Vector
x <- c(1:10)
breaks <- c(1, 2, 4, 8, 10)
y <- cont2cat(x, breaks, integer = TRUE)
y

## Stratification
x <- data.frame(x = round(rlnorm(10), 1), y = round(rnorm(10), 1))
x <- stratify(x = x, n = 4, type = "area", integer = TRUE)
x