Calculate sparsity across the feature mode of a multi-way array.

Calculate sparsity across the feature mode of a multi-way array.

Usage

calculateSparsity(dataset, considerGroups = FALSE, groupVariable = "")

Arguments

dataset

See Fujita2023, Shao2019 or vanderPloeg2024.

considerGroups

Consider subject groups in calculating sparsity (default FALSE)

groupVariable

Column name in dataset$mode1 that should be used to consider groups (default "")

Value

Vector of sparsity fractions (N x J) where N is the number of groups and J is the number of features.

Examples

# No groups
sparsity = calculateSparsity(Fujita2023)
length(sparsity)
#> [1] 28
hist(sparsity)


# Consider groups
colnames(Shao2019$mode1)
#> [1] "Individual"    "Delivery_mode"
sparsity = calculateSparsity(Shao2019, considerGroups=TRUE, groupVariable="Delivery_mode")
dim(sparsity)
#> [1]   2 959
hist(sparsity[1,])

hist(sparsity[2,])