join_labels takes observed labels and converts them to a list.

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

Arguments

...

Multiple datasets. They can be vectors, arrays, matrices, data frames, and lists.

byrow

A Boolean value to specify whether row vectors are used for matrix, data frame, and array.

chklen

A Boolean value to specify whether all list items must be the same lengths.

Value

The join_labels function returns a list that contains all combined label data.

See also

evalmod for calculation evaluation measures. mmdata for formatting input data. join_scores for formatting scores with multiple datasets.

Examples

################################################## ### Add three numeric vectors ### l1 <- c(1, 0, 1, 1) l2 <- c(1, 1, 0, 0) l3 <- c(0, 1, 0, 1) labels1 <- join_labels(l1, l2, l3) ## Show the list structure str(labels1)
#> List of 3 #> $ : num [1:4] 1 0 1 1 #> $ : num [1:4] 1 1 0 0 #> $ : num [1:4] 0 1 0 1
################################################## ### Add a matrix and a numeric vector ### a1 <- matrix(rep(c(1, 0), 4), 4, 2) labels2 <- join_labels(a1, l3) ## Show the list structure str(labels2)
#> List of 3 #> $ : num [1:4] 1 0 1 0 #> $ : num [1:4] 1 0 1 0 #> $ : num [1:4] 0 1 0 1
################################################## ### Use byrow ### a2 <- matrix(rep(c(1, 0), 4), 2, 4, byrow = TRUE) labels3 <- join_labels(a2, l3, byrow = TRUE) ## Show the list structure str(labels3)
#> List of 3 #> $ : num [1:4] 1 0 1 0 #> $ : num [1:4] 1 0 1 0 #> $ : num [1:4] 0 1 0 1
################################################## ### Use chklen ### l4 <- c(-1, 0, -1) l5 <- c(0, -1) labels4 <- join_labels(l4, l5, chklen = FALSE) ## Show the list structure str(labels4)
#> List of 2 #> $ : num [1:3] -1 0 -1 #> $ : num [1:2] 0 -1