/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/addons/batikvis/src/main/resources/META-INF/elki/ |
H A D | de.lmu.ifi.dbs.elki.visualization.VisualizationProcessor | 6 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization 7 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization 8 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization 12 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization 13 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization 15 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization 16 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeSphereVisualization 17 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization 19 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization 20 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipStringVisualization [all …]
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H A D | de.lmu.ifi.dbs.elki.visualization.visualizers.VisFactory | 2 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.AxisVisualization 3 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.MarkerVisualization 4 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.PolygonVisualization 5 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterMeanVisualization 6 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.ClusterStarVisualization 8 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.EMClusterVisualization 9 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster.VoronoiVisualization 11 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index.TreeMBRVisualization 13 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier.BubbleVisualization 15 de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.TooltipScoreVisualization [all …]
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/dports/math/octave-forge-communications/communications-1.2.3/inst/ |
H A D | scatterplot.m | 17 ## @deftypefn {Function File} {} scatterplot (@var{x}) 53 function varargout = scatterplot (x, n, _off, str, h) function 81 error ("scatterplot: X must not be empty"); 108 error ("scatterplot: STR must be a string"); 120 error ("scatterplot: H must be a scatterplot figure handle"); 125 set (hout, "tag", "scatterplot"); 161 %! h = scatterplot (noisy); 163 %! scatterplot (noisy, ovsp, 0, "r+", h); 166 %!error scatterplot () 167 %!error scatterplot (1, 2, 3, 4, 5, 6) [all …]
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/dports/math/octave-forge-communications/communications-1.2.3/doc/ |
H A D | images.mk | 1 …AGES = awgn.eps eyediagram.eps scatterplot.eps awgn.pdf eyediagram.pdf scatterplot.pdf awgn.png ey… 2 IMAGES_EPS = awgn.eps eyediagram.eps scatterplot.eps 3 IMAGES_PDF = awgn.pdf eyediagram.pdf scatterplot.pdf 4 IMAGES_PNG = awgn.png eyediagram.png scatterplot.png 9 scatterplot.eps: commsimages.m 15 scatterplot.pdf: commsimages.m 21 scatterplot.png: commsimages.m
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H A D | commsimages.m | 52 elseif (strcmp (nm, "scatterplot")) 61 set (cf, "tag", "scatterplot"); 62 f = scatterplot (noisy, 1, 0, "b", cf); 64 scatterplot (noisy, ovsp, 0, "r+", f);
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/dports/devel/py-orange-widget-base/orange-widget-base-4.13.0/orangewidget/tests/ |
H A D | test_matplotlib_export.py | 17 scatterplot = pg.ScatterPlotItem() 18 scatterplot.setData(x=[1, 2, 3], y=[3, 2, 1]) 19 plotWidget.addItem(scatterplot) 20 code = scatterplot_code(scatterplot)
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/dports/math/R-cran-car/car/man/ |
H A D | ScatterplotSmoothers.Rd | 101 scatterplot(prestige ~ income, data=Prestige) 103 scatterplot(prestige ~ income, data=Prestige, 106 scatterplot(prestige ~ income | type, data=Prestige) 107 scatterplot(prestige ~ income | type, data=Prestige, 109 scatterplot(prestige ~ income | type, data=Prestige, 113 scatterplot(prestige ~ income | type, data=Prestige, 115 scatterplot(prestige ~ income | type, data=Prestige, 117 scatterplot(prestige ~ income | type, data=Prestige, 120 scatterplot(weight ~ repwt | sex, data=Davis, 122 scatterplot(weight ~ repwt | sex, data=Davis, [all …]
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H A D | scatterplot.Rd | 1 \name{scatterplot} 2 \alias{scatterplot} 3 \alias{scatterplot.formula} 4 \alias{scatterplot.default} 10 \code{sp} is an abbreviation for \code{scatterplot}. 13 scatterplot(x, ...) 163 scatterplot(prestige ~ income, data=Prestige, 166 scatterplot(prestige ~ income, data=Prestige, 170 scatterplot(prestige ~ income | type, data=Prestige, 173 scatterplot(prestige ~ income | type, data=Prestige, [all …]
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/dports/misc/orange3/orange3-3.29.1/Orange/widgets/tests/ |
H A D | test_matplotlib_export.py | 38 scatterplot = pg.ScatterPlotItem() 39 scatterplot.setData(x=[1, 2, 3], y=[3, 2, 1]) 40 plotWidget.addItem(scatterplot) 41 code = scatterplot_code(scatterplot)
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/dports/finance/fava/fava-1.18/frontend/test/ |
H A D | charts.test.ts | 8 scatterplot, 44 t.throws(() => scatterplot("")); 48 const parsed = scatterplot(data);
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/dports/math/py-seaborn/seaborn-0.11.0/seaborn/tests/ |
H A D | test_relational.py | 19 scatterplot 1640 ax = scatterplot(data=wide_df) 1722 scatterplot(x=[], y=[]) 1725 scatterplot(data=wide_df) 1728 scatterplot(data=wide_array) 1731 scatterplot(data=wide_list_of_series) 1734 scatterplot(data=wide_list_of_arrays) 1737 scatterplot(data=wide_list_of_lists) 1740 scatterplot(data=flat_series) 1743 scatterplot(data=flat_array) [all …]
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/dports/textproc/py-agate/agate-1.6.3/agate/tableset/ |
H A D | __init__.py | 172 from agate.tableset.scatterplot import scatterplot 198 TableSet.scatterplot = scatterplot
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/dports/math/R-cran-spdep/spdep/man/ |
H A D | aple.plot.Rd | 5 \title{Approximate profile-likelihood estimator (APLE) scatterplot} 7 …A scatterplot decomposition of the approximate profile-likelihood estimator, and a local APLE base… 19 \item{do.plot}{default TRUE: should a scatterplot be drawn} 23 … eigenproblem of size n internally, so constructing the values for the scatterplot is quite comput…
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/dports/math/R-cran-terra/terra/man/ |
H A D | scatter.Rd | 1 \name{scatterplot} 27 \item{gridded}{logical. If \code{TRUE} the scatterplot is gridded (counts by cells)} 28 \item{warn}{boolean. Show a warning if a sample of the pixels is used (for scatterplot only)}
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/dports/math/R/R-4.1.2/src/library/grid/vignettes/ |
H A D | plotexample.Rnw | 63 This document describes the construction of a scatterplot object, like 88 In order to draw a simple scatterplot, we can issue a series 199 Here is the scatterplot code wrapped up as a simple function. 235 create a slightly modified scatterplot, embedded within 245 "a scatterplot in it.", sep = "\n") 260 It is still straightforward to annotate the scatterplot as long as 287 There is no scatterplot object to save; the individual components 361 settings for the scatterplot as a whole. 372 are part of the scatterplot. When the scatterplot is drawn, all 430 \code{splot} \grob{}. This will be called whenever a scatterplot [all …]
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/dports/math/libRmath/R-4.1.1/src/library/grid/vignettes/ |
H A D | plotexample.Rnw | 63 This document describes the construction of a scatterplot object, like 88 In order to draw a simple scatterplot, we can issue a series 199 Here is the scatterplot code wrapped up as a simple function. 235 create a slightly modified scatterplot, embedded within 245 "a scatterplot in it.", sep = "\n") 260 It is still straightforward to annotate the scatterplot as long as 287 There is no scatterplot object to save; the individual components 361 settings for the scatterplot as a whole. 372 are part of the scatterplot. When the scatterplot is drawn, all 430 \code{splot} \grob{}. This will be called whenever a scatterplot [all …]
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/dports/finance/fava/fava-1.18/frontend/test/snapshots/ |
H A D | charts.test.ts.md | 69 ## handle data for scatterplot chart 81 type: 'scatterplot',
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/dports/misc/orange3/orange3-3.29.1/doc/visual-programming/source/widgets/model/ |
H A D | naivebayes.md | 40 …scatterplot.md) with **File**. Then we select the misclassified instances in the **Confusion Matri…
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/dports/math/pspp/pspp-1.4.1/tests/language/stats/ |
H A D | graph.at | 19 AT_SETUP([GRAPH simple scatterplot]) 20 AT_DATA([scatterplot.sps],[ 38 AT_CHECK([pspp -O format=csv scatterplot.sps], [0], [ignore]) 111 /scatterplot = x with y. 132 /scatterplot = x with y 155 /scatterplot = x with y by z 159 /scatterplot = x with y by z.
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/dports/math/ploticus-nox11/pl240src/prefabs/ |
H A D | chunk_doheatmap | 37 // use proc scatterplot to count # of instances and pick appropriate color from legend.. 38 #proc scatterplot
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/dports/math/ploticus/pl240src/prefabs/ |
H A D | chunk_doheatmap | 37 // use proc scatterplot to count # of instances and pick appropriate color from legend.. 38 #proc scatterplot
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/dports/textproc/py-agate/agate-1.6.3/agate/table/ |
H A D | __init__.py | 327 from agate.table.scatterplot import scatterplot 360 Table.scatterplot = scatterplot
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/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/addons/joglvis/src/main/java/de/lmu/ifi/dbs/elki/joglvis/ |
H A D | ScatterPlot3DVisualization.java | 33 import de.lmu.ifi.dbs.elki.joglvis.scatterplot.ScatterData; 34 import de.lmu.ifi.dbs.elki.joglvis.scatterplot.ScatterPlot; 35 import de.lmu.ifi.dbs.elki.joglvis.scatterplot.opengl2intel945.ScatterPlotOpenGL2Intel945;
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/dports/math/R-cran-car/car/ |
H A D | NEWS | 123 o Made scatterplot.formula() more robust. 159 o Fixed bug in scatterplot() when legend=FALSE (reported by Castor Guisande). 293 o Improved behavior of above-plot legends in scatterplot(). 572 o scatterplot makes parallel boxplots, calling Boxplot, when x is a factor. 712 …o Small changes to scatterplot and scatterplot.matrix to avoid "condition has length > 1" warnings. 720 o More small changes to scatterplot to avoid "condition has length > 1" warnings. 738 o scatterplot.formula made compatible with na.action=na.exclude. 762 o scatterplot.matrix now passes ... argument to pairs (also suggested by Sandy Weisberg). 782 …o Added cex* arguments to scatterplot() and scatterplot.matrix(), and a jitter argument to scatter… 836 o Small changes to scatterplot.matrix, adapting contribution of Richard Heiberger. [all …]
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/dports/math/ggobi/ggobi-2.1.11/plugins/DescribeDisplay/Docs/ |
H A D | DescribeDisplay.tex | 31 title='NCI tour 1',type='scatterplot',nplots=1, 32 plots = list(list(type='scatterplot',projection='2D Tour',scale=c(0.700, 0.700),
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