join_labels: Join observed labels of multiple test datasets into a list

In guillermozbta/precrec: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves

Description

join_labels takes observed labels and converts them to a list.

Usage

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)


##################################################
### 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)


##################################################
### 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)


##################################################
### Use chklen
###
l4 <- c(-1, 0, -1)
l5 <- c(0, -1)
labels4 <- join_labels(l4, l5, chklen = FALSE)

## Show the list structure
str(labels4)

guillermozbta/precrec documentation built on May 11, 2019, 7:22 p.m.