Coerce CorrCombo to a Data Frame

Converts a CorrCombo object into a data frame of variable combinations.

Usage

# S3 method for class 'CorrCombo'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

Arguments

x

A CorrCombo object.

row.names

Optional row names for the output data frame.

optional

Logical. Passed to data.frame().

...

Additional arguments passed to data.frame().

Value

A data frame where each row corresponds to a subset of variables. Columns are named VarName01, VarName02, ..., up to the size of the largest subset. Subsets shorter than the maximum length are padded with NA.

See also

CorrCombo

Examples

set.seed(1)
mat <- matrix(rnorm(100), ncol = 10)
colnames(mat) <- paste0("V", 1:10)
res <- corrSelect(cor(mat), threshold = 0.5)
as.data.frame(res)
#>                      VarName01 VarName02 VarName03
#> Subset01 [avg=0.261]        V3        V7       V10
#> Subset02 [avg=0.295]        V1        V7       V10
#> Subset03 [avg=0.300]        V8        V9       V10
#> Subset04 [avg=0.331]        V2        V7       V10
#> Subset05 [avg=0.343]        V9        V7       V10
#> Subset06 [avg=0.350]        V3        V8       V10
#> Subset07 [avg=0.374]        V2        V8       V10
#> Subset08 [avg=0.384]        V6        V7       V10
#> Subset09 [avg=0.388]        V6        V8       V10
#> Subset10 [avg=0.086]        V3        V4      <NA>
#> Subset11 [avg=0.098]        V5        V8      <NA>
#> Subset12 [avg=0.208]        V1        V4      <NA>
#> Subset13 [avg=0.220]        V2        V4      <NA>
#> Subset14 [avg=0.295]        V9        V4      <NA>
#> Subset15 [avg=0.319]        V6        V4      <NA>
#> Subset16 [avg=0.407]        V5        V7      <NA>