class BatchVector extends AnyRef
The BatchVector class contains a VectorD for maintaining experimental
data in multiple batches and methods for computing statistics on these data.
Ex: It can be used to support the Method of Batch Means (MBM).
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Instance Constructors
- new BatchVector(name: String, _bSize: Int = 10, _nBatches: Int = 10)
- name
name of the batch statistic
- _bSize
size of each batch
- _nBatches
number of batches
Value Members
- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- def acorr: Double
Compute the lag 1 auto-correlation of the batch means.
Compute the lag 1 auto-correlation of the batch means. Be sure to run 'computeMeans' first.
- def allocBatches(more: Int = 1): Unit
Allocate additional batches for this batched vector.
Allocate additional batches for this batched vector.
- more
the number of additional batches to allocate
- final def asInstanceOf[T0]: T0
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- def bSize: Int
Get the batch size.
- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def computeMeans(): Unit
Compute means for each batch and store them in the 'yb' statistics vector.
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- @native() @HotSpotIntrinsicCandidate()
- final def isInstanceOf[T0]: Boolean
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- def len: Int
Get the total length of the batched vector.
- def nBatches: Int
Get the number of batches.
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
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- def precise(threshold: Double = .2, p: Double = .95): Boolean
Determine whether the Confidence Interval (CI) on the mean is tight enough.
- def precision(p: Double = .95): Double
Compute the relative precision, i.e., the ratio of the confidence interval half-width and the mean.
Compute the relative precision, i.e., the ratio of the confidence interval half-width and the mean.
- p
the confidence level
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- def tally(value: Double): Unit
Add the given value in the next index position in the batched vector.
Add the given value in the next index position in the batched vector.
- value
the given value to add
- def toString(): String
Convert the batched vector into a string showing each of the batches.
Convert the batched vector into a string showing each of the batches.
- Definition Classes
- BatchVector → AnyRef → Any
- def uncorrelated(threshold: Double = .2): Boolean
Determine whether the batches are sufficiently uncorrelated.
Determine whether the batches are sufficiently uncorrelated.
- threshold
the cut-off value to be considered uncorrelated
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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Deprecated Value Members
- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated