Programmer Guide/Command Reference/EVAL/median - Revision history

193.171.195.48 at 10:20, 21 April 2011

2011-04-21T10:20:17Z

← Older revision		Revision as of 12:20, 21 April 2011
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	The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' such that ''an element of x is lower than'' '''q<sub>p</sub>'''. The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.		The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' such that ''an element of x is lower than'' '''q<sub>p</sub>'''. The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.

	----		----
	;Usage 1: <code>~~'''~~median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })~~'''~~</code>		;Usage 1: <code>median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })</code>
	;''x'': data vector		;''x'': data vector
	;''p'': the propability; 0 < ''p'' < 1 (default=0.5)		;''p'': the propability; 0 < ''p'' < 1 (default=0.5)
	;Result 1: Returns the ''p''-quantile (scalar) of ''x''.		;Result 1: Returns the ''p''-quantile (scalar) of ''x''.
	----		----
	;Usage 2: ~~'''~~<code>median(''x''<sub>vector</sub> , ''p''<sub>vector</sub> })</code>~~'''~~		;Usage 2: <code>median(''x''<sub>vector</sub> , ''p''<sub>vector</sub> })</code>
	;''x'': data vector		;''x'': data vector
	;''p'': vector with propability values		;''p'': vector with propability values
	;Result 1: Returns a vector containing the quantiles for all probabilities p[i].		;Result 1: Returns a vector containing the quantiles for all probabilities p[i].
			;See also: [[../avr\|avr]], [[../sort\|sort]], [[../hist\|hist]]

	~~;See also:~~ [[~~Programmer_Guide~~/~~Command_Reference/EVAL/avr\|avr]], [[Programmer_Guide/Command_Reference/EVAL/sort\|sort]], [[Programmer_Guide/Command_Reference/EVAL/hist\|hist]]~~		[[../#Functions\|<function list>]]

	~~[[Programmer_Guide/Command_Reference/EVAL~~#Functions\|<function list>]]

Christian at 15:46, 8 April 2011

2011-04-08T15:46:35Z

← Older revision		Revision as of 17:46, 8 April 2011
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	----		----
	;Usage 1: '''median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })'''		;Usage 1: <code>'''median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })'''</code>
	;''x'': data vector		;''x'': data vector
	;''p'': the propability; 0 < ''p'' < 1 (default=0.5)		;''p'': the propability; 0 < ''p'' < 1 (default=0.5)
	;Result 1: Returns the ''p''-quantile (scalar) of ''x''.		;Result 1: Returns the ''p''-quantile (scalar) of ''x''.
	----		----
	;Usage 2: '''<code>median(''x''<sub>vector</sub> , ''p''<sub>vector</sub> })'''		;Usage 2: '''<code>median(''x''<sub>vector</sub> , ''p''<sub>vector</sub> })</code>'''
	;''x'': data vector		;''x'': data vector
	;''p'': vector with propability values		;''p'': vector with propability values

Christian at 15:45, 8 April 2011

2011-04-08T15:45:58Z

← Older revision		Revision as of 17:45, 8 April 2011
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	----		----
	;Usage 1: '''~~<code>~~median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })'''		;Usage 1: '''median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })'''
	;''x'': data vector		;''x'': data vector
	;''p'': the propability; 0 < ''p'' < 1 (default=0.5)		;''p'': the propability; 0 < ''p'' < 1 (default=0.5)

Christian at 15:44, 8 April 2011

2011-04-08T15:44:18Z

← Older revision		Revision as of 17:44, 8 April 2011
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	Compute median or quantiles of a vector ''x''.		Compute median or quantiles of a vector ''x''.

	The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' such that ''an element of x is lower than '''q<sub>p</sub>'''~~</code>~~.'' The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.		The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' such that ''an element of x is lower than'' '''q<sub>p</sub>'''. The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.

	----		----

Christian at 15:43, 8 April 2011

2011-04-08T15:43:44Z

← Older revision		Revision as of 17:43, 8 April 2011
Line 2:		Line 2:
	Compute median or quantiles of a vector ''x''.		Compute median or quantiles of a vector ''x''.

	The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' ~~of: <code>~~an element of x is lower than '''q<sub>p</sub>'''</code>. The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.		The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' such that ''an element of x is lower than '''q<sub>p</sub>'''</code>.'' The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.

	----		----

Toni at 15:41, 8 April 2011

2011-04-08T15:41:24Z

← Older revision		Revision as of 17:41, 8 April 2011
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	Compute median or quantiles of a vector ''x''.		Compute median or quantiles of a vector ''x''.

	The quantile '''q<sub>p</sub>''' can be defined as the ~~propability~~ '''p''' of: <code>an element of x is lower than '''q<sub>p</sub>'''</code>. The value p must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.		The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' of: <code>an element of x is lower than '''q<sub>p</sub>'''</code>. The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.

			----
			;Usage 1: '''<code>median(''x''<sub>vector</sub> {, ''p''<sub>scalar</sub> })'''
			;''x'': data vector
			;''p'': the propability; 0 < ''p'' < 1 (default=0.5)
			;Result 1: Returns the ''p''-quantile (scalar) of ''x''.
			----
			;Usage 2: '''<code>median(''x''<sub>vector</sub> , ''p''<sub>vector</sub> })'''
			;''x'': data vector
			;''p'': vector with propability values
			;Result 1: Returns a vector containing the quantiles for all probabilities p[i].

			;See also: [[Programmer_Guide/Command_Reference/EVAL/avr\|avr]], [[Programmer_Guide/Command_Reference/EVAL/sort\|sort]], [[Programmer_Guide/Command_Reference/EVAL/hist\|hist]]

			[[Programmer_Guide/Command_Reference/EVAL#Functions\|<function list>]]

Toni at 15:33, 8 April 2011

2011-04-08T15:33:40Z

@@ Line 1: / Line 1: @@
 {{DISPLAYTITLE:{{SUBPAGENAME}}}}
-Compute median or quantils of a vector ''x''.
+Compute median or quantiles of a vector ''x''.
-A quantil '''q<sub>p</sub>''' can be defined as the propability '''p''' of: <code>an element of x is lower than '''q<sub>p</sub>'''</code>.
+The quantile '''q<sub>p</sub>''' can be defined as the propability '''p''' of: <code>an element of x is lower than '''q<sub>p</sub>'''</code>. The value p must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.

Toni at 15:29, 8 April 2011

2011-04-08T15:29:52Z

← Older revision		Revision as of 17:29, 8 April 2011
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	Compute median or quantils of a vector ''x''.		Compute median or quantils of a vector ''x''.

	A quantil '''q<sub>p</sub>''' can be defined as the propability of ''an element of x is lower than '''q<sub>p</sub>'''.''		A quantil '''q<sub>p</sub>''' can be defined as the propability '''p''' of: <code>an element of x is lower than '''q<sub>p</sub>'''</code>.

	Ein p-Quantil ist ein Lagemaß in der Statistik, wobei p eine reelle Zahl zwischen 0 und 1 ist. Das p-Quantil ist ein Merkmalswert, der die Verteilung einer Variablen bzw. Zufallsvariablen in zwei Abschnitte unterteilt. Links vom p-Quantil liegen 100\cdot p Prozent aller Beobachtungswerte bzw. 100\cdot p Prozent der Gesamtzahl der Zufallswerte. Rechts davon liegen 100\cdot(1-p) Prozent aller Beobachtungswerte bzw. 100\cdot(1-p) Prozent der Gesamtzahl der Zufallswerte. p heißt auch der Unterschreitungsanteil.		Ein p-Quantil ist ein Lagemaß in der Statistik, wobei p eine reelle Zahl zwischen 0 und 1 ist. Das p-Quantil ist ein Merkmalswert, der die Verteilung einer Variablen bzw. Zufallsvariablen in zwei Abschnitte unterteilt. Links vom p-Quantil liegen 100\cdot p Prozent aller Beobachtungswerte bzw. 100\cdot p Prozent der Gesamtzahl der Zufallswerte. Rechts davon liegen 100\cdot(1-p) Prozent aller Beobachtungswerte bzw. 100\cdot(1-p) Prozent der Gesamtzahl der Zufallswerte. p heißt auch der Unterschreitungsanteil.

Toni at 15:27, 8 April 2011

2011-04-08T15:27:13Z

← Older revision		Revision as of 17:27, 8 April 2011
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	{{DISPLAYTITLE:{{SUBPAGENAME}}}}		{{DISPLAYTITLE:{{SUBPAGENAME}}}}
			Compute median or quantils of a vector ''x''.

			A quantil '''q<sub>p</sub>''' can be defined as the propability of ''an element of x is lower than '''q<sub>p</sub>'''.''
			Ein p-Quantil ist ein Lagemaß in der Statistik, wobei p eine reelle Zahl zwischen 0 und 1 ist. Das p-Quantil ist ein Merkmalswert, der die Verteilung einer Variablen bzw. Zufallsvariablen in zwei Abschnitte unterteilt. Links vom p-Quantil liegen 100\cdot p Prozent aller Beobachtungswerte bzw. 100\cdot p Prozent der Gesamtzahl der Zufallswerte. Rechts davon liegen 100\cdot(1-p) Prozent aller Beobachtungswerte bzw. 100\cdot(1-p) Prozent der Gesamtzahl der Zufallswerte. p heißt auch der Unterschreitungsanteil.

			Spezielle Quantile sind der Median, die Quartile, die Quintile, die Dezile und die Perzentile.

	=====median=====		=====median=====

Admin: 1 revision: Initial import

2010-11-18T16:31:40Z

1 revision: Initial import

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