Description Usage Arguments Value See Also Examples
View source: R/Algorithms_assessment.R
Score a vector of error metrics for algorithms by the interval
1 2 3 4 5 6 7  Score_algorithms_interval(
x,
trim = FALSE,
reward.punishment = TRUE,
decreasing = TRUE,
hundred.percent = FALSE
)

x 
Input vector of error metrics (NA values are allowed) 
trim 
whether to run a trim process to calculate mean and standard deviation of
input vector x (Default as 
reward.punishment 
Whether to conduct the reward and punishment mechanism in scoring
system (Default as 
decreasing 
the order of the good metric to be evaluated. For instance, MAE should use

hundred.percent 
A variable constrain for metrics that the maximun of input 
Results of Score_algorithms_interval()
are returned as a list including:
p 
A ggplot list of the scoring result. 
score 
The final score from by the interval score. 
u 
Trimmed mean of input x with 
bds 
Up and low boundaries for determining scores. 
x 
The input x. 
Other Algorithm assessment:
Assessment_via_cluster()
,
Getting_Asses_results()
,
Sampling_via_cluster()
,
Score_algorithms_sort()
,
Scoring_system()
1 2 3  set.seed(1234)
x = runif(10)
result = Score_algorithms_interval(x)

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