miceCompare {micer} | R Documentation |
miceCompare
Description
Statistically compare two models using a paired t-test and bootstrap samples of the assessment results
Usage
miceCompare(ref, result1, result2, reps, frac)
Arguments
ref |
column of reference labels as factor data type. |
result1 |
column of predicted labels as factor data type (first result to compare). |
result2 |
column of predicted labels as factor data type (second result to compare). |
reps |
number of bootstrap replicates to use. Default is 200. |
frac |
proportion of samples to include in each bootstrap sample. Default is 0.7. |
Value
paired t-test results including t-statistic, degrees of freedom, p-value, 95% confidence interval, and mean difference
Examples
data(compareData)
compareResult <- miceCompare(ref=compareData$ref,
result1=compareData$rfPred,
result2=compareData$dtPred,
reps=100,
frac=.7)
print(compareResult)
[Package micer version 0.2.0 Index]