# join_scores: Join scores of multiple models into a list In guillermozbta/precrec: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves

## Description

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

## Usage

 `1` ```join_scores(..., 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_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.
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41``` ```################################################## ### Add three numeric vectors ### 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) ################################################## ### Add a matrix and a numeric vector ### a1 <- matrix(seq(8), 4, 2) scores2 <- join_scores(a1, s3) ## Show the list structure str(scores2) ################################################## ### Use byrow ### a2 <- matrix(seq(8), 2, 4, byrow = TRUE) scores3 <- join_scores(a2, s3, byrow = TRUE) ## Show the list structure str(scores3) ################################################## ### 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) ```