scale_by_variable: Expand variables in a data frame via contextualized or named...

In corybrunson/context: Produce formal contexts (binary matrices) from data

Description

Expand variables in a data frame via contextualized or named conceptual scaling

Usage

scale_by_variable(data, var, scale)

scale_by_variables(data, vars = names(scales), scales)

Arguments

data	Data frame.
var	Character. The name of the column of data that scale scales.
scale	Binary numeric matrix or character. The scale to use to transform var, either as a formal context (binary matrix) or as a standard type (passed to make_scale_standard).
vars	Character vector. The names of the columns of data that scales scale.
scales	List having the same length as vars containing the scales to transform vars.

Value

A binary matrix (formal context).

Examples

titanic_data <- as.data.frame(Titanic)

# custom scale for Class variable
class_scale <- rbind(
  c(1, 1, 1, 0),
  c(0, 1, 1, 0),
  c(0, 0, 1, 0),
  c(0, 1, 1, 1)
)
rownames(class_scale) <- levels(titanic_data$Class)
colnames(class_scale) <- paste0(">", levels(titanic_data$Class))
print(class_scale)
scale_by_variable(data = titanic_data, var = "Class", scale = class_scale)

# nominal scale for Sex variable
scale_by_variable(data = titanic_data, var = "Sex", scale = "nominal")

# ordinal scale for Age variable
scale_by_variable(data = titanic_data, var = "Age", scale = "ordinal")

# multiple scales applied at once
both_vars <- c("Class", "Sex")
sex_scale <- make_scale_standard(objs = titanic_data$Sex, scale = "nominal")
both_scales <- list(class_scale, sex_scale)
scale_by_variables(data = titanic_data, vars = both_vars, scales = both_scales)

corybrunson/context documentation built on May 13, 2019, 10:52 p.m.