| Portability | GHC |
|---|---|
| Stability | experimental |
| Maintainer | bos@serpentine.com |
| Safe Haskell | None |
Criterion.Analysis.Types
Description
Analysis types.
- data Outliers = Outliers {
- samplesSeen :: !Int64
- lowSevere :: !Int64
- lowMild :: !Int64
- highMild :: !Int64
- highSevere :: !Int64
- data OutlierEffect
- = Unaffected
- | Slight
- | Moderate
- | Severe
- data OutlierVariance = OutlierVariance {}
- data SampleAnalysis = SampleAnalysis {}
Documentation
Outliers from sample data, calculated using the boxplot technique.
Constructors
| Outliers | |
Fields
| |
data OutlierEffect Source
A description of the extent to which outliers in the sample data affect the sample mean and standard deviation.
Constructors
| Unaffected | Less than 1% effect. |
| Slight | Between 1% and 10%. |
| Moderate | Between 10% and 50%. |
| Severe | Above 50% (i.e. measurements are useless). |
data OutlierVariance Source
Analysis of the extent to which outliers in a sample affect its standard deviation (and to some extent, its mean).
Constructors
| OutlierVariance | |
Fields
| |
data SampleAnalysis Source
Result of a bootstrap analysis of a non-parametric sample.
Constructors
| SampleAnalysis | |
Fields | |