Finding hierarchical variable groups

According to the (factor) levels of the variables

Usage

HierarchicalGroups(
  x = NULL,
  mainName = TRUE,
  eachName = FALSE,
  fCorr = FactorLevCorr(x)
)

Arguments

x

Matrix or data frame containing the variables

mainName

When TRUE output list is named according to first variable in group.

eachName

When TRUE variable names in output instead of indices.

fCorr

When non-null, x is not needed as input.

Value

Output is a list containing the groups. First variable has most levels.

Author

Øyvind Langsrud

Examples

dataset <- SSBtoolsData("example1")
HierarchicalGroups(dataset[1:2], eachName = TRUE)
#> $age
#> [1] "age"
#> 
#> $geo
#> [1] "geo"
#> 
HierarchicalGroups(dataset[2:3])
#> $geo
#> [1] 1 2
#> 
HierarchicalGroups(dataset[1:4], eachName = TRUE)
#> $age
#> [1] "age"
#> 
#> $geo
#> [1] "geo" "eu" 
#> 
#> $year
#> [1] "year"
#> 

HierarchicalGroups(SSBtoolsData("magnitude1")[1:4])
#> $sector4
#> [1] 1 2
#> 
#> $geo
#> [1] 3 4
#> 

 x <- rep(c("A","B","C"),3)
 y <- rep(c(11,22,11),3)
 z <- c(1,1,1,2,2,2,3,3,3)
 zy <- paste(z,y,sep="")
 m <- cbind(x,y,z,zy)
 HierarchicalGroups(m)
#> $x
#> [1] 1 2
#> 
#> $zy
#> [1] 4 2
#> 
#> $zy
#> [1] 4 3
#>