Compare predictions and labels

Usage

compare(
  predictions,
  labels,
  partition = TRUE,
  names = c(specificity = 0, sensitivity = 1)
)

Arguments

predictions: (numeric | character)
vector of class predictions, class and unique values+ need to match those of labels.
labels: (numeric | character)
vector of true class labels (reference standard)
partition: (logical)
should result be split into one matrix per class (TRUE; default) or not (FALSE)
names: (character | NULL)
named character. Values specify data values, names specify class names. If names=NULL, the values and names are defined as unique(labels)

Value

(list | matrix)
list of matrices (one for each unique value of labels) with values 1 (correct prediction) and 0 (false prediction). If partition=TRUE, the matrices are combined in a single matrix with rbind.

Examples

pred <- matrix(c(1, 1, 0), 5, 3)
labels <- c(1, 1, 0, 0, 1)
compare(pred, labels, FALSE)
#>   V1 V2 V3
#> 1  1  0  1
#> 2  1  1  0
#> 3  1  0  0
#> 4  0  1  0
#> 5  1  1  0
compare(pred, labels, TRUE)
#> $specificity
#>   V1 V2 V3
#> 3  1  0  0
#> 4  0  1  0
#> 
#> $sensitivity
#>   V1 V2 V3
#> 1  1  0  1
#> 2  1  1  0
#> 5  1  1  0
#>