Stats<T extends num> class
Provides access to basic statistical entities of a numerical random sample.
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- intervals → int
-
Returns the optimal number of intervals. The interval size
is estimated using the Freedman-Diaconis rule.
no setter
- intervalSize → double
-
Returns the optimal interval according to the Freedman-Diaconis rule
taking into account the inter-quartile range and the sample size.
no setter
- max → T
-
Return the largest sample value.
no setter
- mean → double
-
Returns the sample mean.
no setter
- median → num
-
Returns the sample median (second quartile).
no setter
- min → T
-
Returns the smallest sample value.
no setter
- quartile1 → num
-
Returns the first quartile.
no setter
- quartile3 → num
-
Returns the third quartile.
no setter
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
-
sample
→ List<
T> -
Numerical data sample. Must not be empty.
final
- stdDev → double
-
Returns the corrected sample standard deviation.
no setter
Methods
-
histogram(
{bool normalize = true, int intervals = 0, ProbabilityDensity? probabilityDensity}) → List< List< double> > -
Returns an object of type
List<List<num>>containing a sample histogram. -
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
-
update(
) → void - Requests an update of the cached variables:
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited