The join_scores function takes predicted scores from multiple models and converts them to a list.

join_scores(..., byrow = FALSE, chklen = TRUE)

## Arguments

... Multiple datasets. They can be vectors, arrays, matrices, data frames, and lists. A Boolean value to specify whether row vectors are used for matrix, data frame, and array. A Boolean value to specify whether all list items must be the same lengths.

## Value

The join_scores function returns a list that contains all combined score data.

evalmod for calculation evaluation measures. mmdata for formatting input data. join_labels for formatting labels with multiple datasets.

## Examples


##################################################
###
s1 <- c(1, 2, 3, 4)
s2 <- c(5, 6, 7, 8)
s3 <- c(2, 4, 6, 8)
scores1 <- join_scores(s1, s2, s3)

## Show the list structure
str(scores1)
#> List of 3
#>  $: num [1:4] 1 2 3 4 #>$ : num [1:4] 5 6 7 8
#>  $: num [1:4] 2 4 6 8 ################################################## ### Add a matrix and a numeric vector ### a1 <- matrix(seq(8), 4, 2) scores2 <- join_scores(a1, s3) ## Show the list structure str(scores2) #> List of 3 #>$ : int [1:4] 1 2 3 4
#>  $: int [1:4] 5 6 7 8 #>$ : num [1:4] 2 4 6 8

##################################################
### Use byrow
###
a2 <- matrix(seq(8), 2, 4, byrow = TRUE)
scores3 <- join_scores(a2, s3, byrow = TRUE)

## Show the list structure
str(scores3)
#> List of 3
#>  $: int [1:4] 1 2 3 4 #>$ : int [1:4] 5 6 7 8
#>  $: num [1:4] 2 4 6 8 ################################################## ### Use chklen ### s4 <- c(1, 2, 3) s5 <- c(5, 6, 7, 8) scores4 <- join_scores(s4, s5, chklen = FALSE) ## Show the list structure str(scores4) #> List of 2 #>$ : num [1:3] 1 2 3
#>  \$ : num [1:4] 5 6 7 8