make_scale_standard: Build standard conceptual scales

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

Description

Build standard conceptual scales

Usage

make_scale_standard(objs, n, scale = "nominal", ...)

make_scale_nominal(objs)

make_scale_boolean(objs)

make_scale_ordinal(objs)

make_scale_revordinal(objs)

make_scale_interordinal(objs)

make_scale_biordinal(objs, cut = ceiling(length(objs)/2))

Arguments

objs	Vector (usually character or factor).
n	Positive integer. The number of objects in the scale. Ignored if objs is present.
scale	Character. Name of standard scale, e.g. "ordinal". Defaults to "nominal".
...	Additional arguments (listed below) passed from scale_standard to specific scale generators.
cut	Numeric. Integer between 0 and length(objs) indicating the index at which to cut objs for biordinal scaling.

Examples

titanic_data <- as.data.frame(Titanic)

# nominal scale
print(make_scale_nominal(objs = titanic_data$Class))

# ordinal scale
print(make_scale_ordinal(objs = titanic_data$Class))

# other scales
for (scale in c("boolean", "revordinal", "interordinal")) {
  print(make_scale_standard(objs = titanic_data$Class, scale = scale))
}

# biordinal scale with custom cut value
print(make_scale_biordinal(objs = titanic_data$Class, cut = 3))

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