Methods for MultiFactor S7 container class

Arguments

x, object: MultiFactor on which the method should be applied.
Value

A MultiFactor
Examples

# Setup
a2b <- data.frame(
    a = sample(letters[seq(3)], 10, replace = TRUE),
    b = sample(LETTERS[seq(3)], 10, replace = TRUE)
)
a2c <- data.frame(
    a = sample(letters[seq(3)], 10, replace = TRUE),
    c = sample(LETTERS[seq(3)], 10, replace = TRUE)
)

# Create MultiFactor
x <- MultiFactor(list(a2b, a2c))

# Basic properties
dim(x)
#> [1] 2 3
dimnames(x)
#> [[1]]
#> [1] "a2b" "a2c"
#> 
#> [[2]]
#> [1] "a" "b" "c"
#> 

# Factor-like properties
levels(x)
#> $a
#> [1] "a" "b" "c"
#> 
#> $b
#> [1] "A" "B" "C"
#> 
#> $c
#> [1] "A" "B" "C"
#> 
nlevels(x)
#> a b c 
#> 3 3 3 

# Retain MultiFactor structure using `[`.
x["x_1"]
#> Error in FUN(X[[i]], ...): Must be a data.frame. 

# Or extract individual LinkMaps using `[[`
x[["x_1"]]
#> NULL

# Subset by a path
subset(x, a ~ c)
#> A MultiFactor::MultiFactor list S7_object,
#>     2 feature types across 1 LinkMaps.
#> 
#>     a c
#> a2c 3 3
#> 
#> Values represent unique feature names in that LinkMap.
#> 
#> Levels:
#> a : 3 Levels: a b c 
#> c : 3 Levels: A B C 

# Combine using `c`:
c(x[2], x[1])
#> A MultiFactor::MultiFactor list S7_object,
#>     3 feature types across 2 LinkMaps.
#> 
#>     a c b
#> a2c 3 3 .
#> a2b 3 . 3
#> 
#> Values represent unique feature names in that LinkMap.
#> 
#> Levels:
#> a : 3 Levels: a b c 
#> c : 3 Levels: A B C 
#> b : 3 Levels: A B C