object Q_Q_Plot extends Error
The Q_Q_Plot
object produces Quantile-Quantile plots that are used to
compare probability distributions.
- Alphabetic
- By Inheritance
- Q_Q_Plot
- Error
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- final def flaw(method: String, message: String): Unit
- Definition Classes
- Error
- var frameless: Boolean
Whether the plot is to be embedded or has its own frame To change, set to true before calling plot
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- var makeStandard: Boolean
Whether to transform the data to zero mean and unit standard deviation To change, set to true before calling plot
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def plot(fInv: Distribution, f_df: Parameters, gInv: Distribution, g_df: Parameters, n: Int): FramelessPlot
Produce a Q-Q plot for the two distribution.
Produce a Q-Q plot for the two distribution.
- fInv
the first inverse CDF
- f_df
the degrees of freedom for the first distribution
- gInv
the second inverse CDF
- g_df
the degrees of freedom for the second distribution
- n
the number of intervals
- def plot(fv: VectorD, gInv: Distribution, g_df: Parameters, n: Int): FramelessPlot
Produce a Q-Q plot for the data vector and the distribution.
Produce a Q-Q plot for the data vector and the distribution.
- fv
the data vector
- gInv
the inverse CDF
- g_df
the degrees of freedom for the distribution
- n
the number of intervals
- def plot(fv: VectorD, gv: VectorD): FramelessPlot
Produce a Q-Q plot for the two data vectors.
Produce a Q-Q plot for the two data vectors.
- fv
the first data vector
- gv
the second data vector
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated