Korelácie - Revision history

Balogh at 10:15, 12 November 2008

2008-11-12T10:15:20Z

Balogh at 14:16, 11 November 2008

2008-11-11T14:16:11Z

Balogh at 12:03, 11 November 2008

2008-11-11T12:03:19Z

Balogh at 12:02, 11 November 2008

2008-11-11T12:02:37Z

Balogh at 12:01, 11 November 2008

2008-11-11T12:01:58Z

Balogh at 12:00, 11 November 2008

2008-11-11T12:00:52Z

Balogh at 11:57, 11 November 2008

2008-11-11T11:57:20Z

Balogh at 11:57, 11 November 2008

2008-11-11T11:57:06Z

Balogh at 11:52, 11 November 2008

2008-11-11T11:52:12Z

Balogh: New page: Data: scatter (x, y, [], sqrt(x.^2 + y.^2)); '''scatterplotf.m''' function ret=scatterplotf(x,y) [m,n]=size(y); if m==1, y=y'; x=x'; end dispmat=[...

2008-11-11T11:49:53Z

New page: Data: scatter (x, y, [], sqrt(x.^2 + y.^2)); '''scatterplotf.m''' <source lang="octave"> function ret=scatterplotf(x,y) [m,n]=size(y); if m==1, y=y'; x=x'; end dispmat=[...

New page

Data:

scatter (x, y, [], sqrt(x.^2 + y.^2));

'''scatterplotf.m'''
<source lang="octave">
function ret=scatterplotf(x,y)
[m,n]=size(y);
if m==1,
y=y';
x=x';
end
dispmat=[x y];
n=size(dispmat,2);
dispmat=sortrows(dispmat,1);
x=dispmat(:,1);
y=dispmat(:,2:n);
plot(x,y);
endfunction

</source>

← Older revision		Revision as of 10:15, 12 November 2008
Line 53:		Line 53:

	</source>		</source>
		+
		+	Pokračovanie: [[PCA analýza akčných potenciálov]]

← Older revision		Revision as of 14:16, 11 November 2008
Line 31:		Line 31:

	[[Image:ScatterPlot.png]]		[[Image:ScatterPlot.png]]
		+
		+	Data Set 3:
		+
		+	[[Media:Cities.mat]]

	'''scatterplotf.m'''		'''scatterplotf.m'''

@@ Line 7: / Line 7: @@
 b) extract files from [http://www.dpmi.tugraz.at/schloegl/matlab/NaN/NaN.zip NaNnnn.tar.gz] and move them into
-.../octave/.../m/statistics/base/
+<TT>.../octave/.../m/statistics/base/ </TT>
-c) (re-)start Octave and run NANINSTTEST.
+c) (re-)start Octave and run <TT>naninsttest</TT>.
 This checks whether all previous functions have been replaced

@@ Line 6: / Line 6: @@
 a) You need [http://users.powernet.co.uk/kienzle/octave/matcompat/scripts/general/repmat.m repmat.m]repmat.m (e.g. from P.Kienzle's MATCOMPAT)
-b) extract files from NaNnnn.tar.gz and move them into
+b) extract files from [http://www.dpmi.tugraz.at/schloegl/matlab/NaN/NaN.zip NaNnnn.tar.gz] and move them into
 .../octave/.../m/statistics/base/

← Older revision		Revision as of 12:01, 11 November 2008
Line 2:		Line 2:
	handles data with and without MISSING VALUES encoded as NaN's.		handles data with and without MISSING VALUES encoded as NaN's.

−	* [http://users.powernet.co.uk/kienzle/octave/matcompat/scripts/general/repmat.m repmat.m]	+	Installing the NaN-tb with Octave:
		+
		+	a) You need [http://users.powernet.co.uk/kienzle/octave/matcompat/scripts/general/repmat.m repmat.m]repmat.m (e.g. from P.Kienzle's MATCOMPAT)
		+
		+	b) extract files from NaNnnn.tar.gz and move them into
		+	.../octave/.../m/statistics/base/
		+
		+	c) (re-)start Octave and run NANINSTTEST.
		+	This checks whether all previous functions have been replaced
		+
		+
		+

← Older revision		Revision as of 12:00, 11 November 2008
Line 1:		Line 1:
	[http://www.dpmi.tugraz.at/schloegl/matlab/NaN/ The NaN-toolbox: A statistic-toolbox] for Octave and Matlab which		[http://www.dpmi.tugraz.at/schloegl/matlab/NaN/ The NaN-toolbox: A statistic-toolbox] for Octave and Matlab which
	handles data with and without MISSING VALUES encoded as NaN's.		handles data with and without MISSING VALUES encoded as NaN's.
		+
		+	* [http://users.powernet.co.uk/kienzle/octave/matcompat/scripts/general/repmat.m repmat.m]

← Older revision		Revision as of 11:57, 11 November 2008
Line 1:		Line 1:
−	[http://www.dpmi.tugraz.at/schloegl/matlab/NaN/ The NaN-toolbox: A statistic-toolbox] for Octave and Matlab	+	[http://www.dpmi.tugraz.at/schloegl/matlab/NaN/ The NaN-toolbox: A statistic-toolbox] for Octave and Matlab which
	handles data with and without MISSING VALUES encoded as NaN's.		handles data with and without MISSING VALUES encoded as NaN's.

@@ Line 1: / Line 1: @@
-Data:
+Data Set 1:
-scatter (x, y, [], sqrt(x.^2 + y.^2));
+ X = [4.4 5.5 4.2 3.0 4.5 4.9 4.6 5.0 4.7 5.1 4.4 4.1 4.9 4.7 5.0 4.6 3.6 4.9 5.1 4.8 5.2 5.2]';
 '''scatterplotf.m'''