| join_scores {precrec} | R Documentation |
The join_scores function takes predicted scores from multiple models
and converts them to a list.
join_scores(..., byrow = FALSE, chklen = TRUE)
... |
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. |
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.
################################################## ### 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)