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C# DoubleMatrix.Col方法代码示例

本文整理汇总了C#中DoubleMatrix.Col方法的典型用法代码示例。如果您正苦于以下问题:C# DoubleMatrix.Col方法的具体用法?C# DoubleMatrix.Col怎么用?C# DoubleMatrix.Col使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在DoubleMatrix的用法示例。


在下文中一共展示了DoubleMatrix.Col方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: Update

        /// <summary>
        /// Updates the given chart with the specified linear regression.
        /// </summary>
        /// <param name="chart">A chart.</param>
        /// <param name="lr">Linear Regression.</param>
        /// <param name="predictorIndex">The predictor (independent) variable to plot on the x-axis.</param>
        /// <exception cref="InvalidArgumentException">
        /// Thrown if the given predictorIndex is outside the range of columns in lr.PredictorMatrix.
        /// </exception>
        /// <remarks>
        /// The multidimensional linear regression fit is plotted projected onto the plane of the specified 
        /// predictor variable.
        /// <br/>
        /// Titles are added only if chart does not currently contain any titles.
        /// <br/>
        /// The first two data series are replaced, or added if necessary.
        /// </remarks>
        public static void Update( ref ChartControl chart, LinearRegression lr, int predictorIndex )
        {
            if( predictorIndex < 0 || predictorIndex > lr.PredictorMatrix.Cols )
              {
            throw new Core.IndexOutOfRangeException( predictorIndex );
              }

              List<string> titles = new List<string>()
              {
            "LinearRegression",
              };
              string xTitle = "Independent Variable " + predictorIndex;
              string yTitle = "Dependent Variable";

              // create version of predictor matrix with all other columns zeroed out
              DoubleMatrix projection = new DoubleMatrix( lr.PredictorMatrix.Rows, lr.PredictorMatrix.Cols );
              projection[Slice.All, predictorIndex] = lr.PredictorMatrix.Col( predictorIndex );

              DoubleMatrix data = new DoubleMatrix( lr.NumberOfObservations, 3 );
              data[Slice.All, 0] = lr.PredictorMatrix.Col( predictorIndex );          // x
              data[Slice.All, 1] = lr.Observations;                                   // y
              data[Slice.All, 2] = lr.PredictedObservations( projection );            // y predicted

              data = NMathFunctions.SortByColumn( data, 0 );

              List<ChartSeries> series = new List<ChartSeries>()
              {
            BindXY( data.Col(0), data.Col(1), ChartSeriesType.Scatter, DefaultMarker ),

            // only necessary to plot endpoints of line
            BindXY( data.Col(0)[new Slice(0, 2, data.Rows - 1)], data.Col(2)[new Slice(0, 2, data.Rows - 1)], ChartSeriesType.Line, ChartSymbolShape.None )
              };
              series[0].Text = "Observed";
              series[1].Text = "Predicted";

              Update( ref chart, series, titles, xTitle, yTitle );
        }
开发者ID:CenterSpace,项目名称:Syncfusion-Charting,代码行数:54,代码来源:NMathStatsChart.cs


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