compute confus_matrix as in python version
Source: R/compute_confus_matrix.R
compute_confus_matrix.Rdcompute confus_matrix as in python version
Usage
compute_confus_matrix(
samples_sequence,
biomarker_event_order = attr(samples_sequence, "biomarker_event_names")
)Examples
samples_sequence = matrix(
nrow = 2,
byrow = TRUE,
dimnames = list(
iteration = NULL,
position = paste("Event #", 1:10)),
data = paste(
"biomarker",
c(0,2,4,6,8,9,7,5,3,1,
0,1,2,3,4,5,6,7,8,9)))
compute_confus_matrix(samples_sequence)
#> position
#> event name Event # 1 Event # 2 Event # 3 Event # 4 Event # 5 Event # 6
#> biomarker 0 1 0.0 0.0 0.0 0.0 0.0
#> biomarker 1 0 0.5 0.0 0.0 0.0 0.0
#> biomarker 2 0 0.5 0.5 0.0 0.0 0.0
#> biomarker 4 0 0.0 0.5 0.0 0.5 0.0
#> biomarker 3 0 0.0 0.0 0.5 0.0 0.0
#> biomarker 6 0 0.0 0.0 0.5 0.0 0.0
#> biomarker 8 0 0.0 0.0 0.0 0.5 0.0
#> biomarker 5 0 0.0 0.0 0.0 0.0 0.5
#> biomarker 9 0 0.0 0.0 0.0 0.0 0.5
#> biomarker 7 0 0.0 0.0 0.0 0.0 0.0
#> position
#> event name Event # 7 Event # 8 Event # 9 Event # 10
#> biomarker 0 0.0 0.0 0.0 0.0
#> biomarker 1 0.0 0.0 0.0 0.5
#> biomarker 2 0.0 0.0 0.0 0.0
#> biomarker 4 0.0 0.0 0.0 0.0
#> biomarker 3 0.0 0.0 0.5 0.0
#> biomarker 6 0.5 0.0 0.0 0.0
#> biomarker 8 0.0 0.0 0.5 0.0
#> biomarker 5 0.0 0.5 0.0 0.0
#> biomarker 9 0.0 0.0 0.0 0.5
#> biomarker 7 0.5 0.5 0.0 0.0