Description Usage Arguments Value See Also Examples
The join_scores
function takes predicted scores from multiple models
and converts them to a list.
1 | 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.
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)
|
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