Package flanagan.math

Examples of flanagan.math.ArrayMaths

124
125
126
127
128
129
130
131
132
133
134
135
136
137
           int nPoints=x.length;
          if(nPoints!=y.length)throw new IllegalArgumentException("Arrays x and y-row are of different length " + nPoints + " " + y.length);
            if(nPoints<nl)throw new IllegalArgumentException("The data matrix must have a minimum size of " + nl + " X " + nl);

            // order data
            ArrayMaths am = new ArrayMaths(x);
            am = am.sort();
            this.xIndices = am.originalIndices();
            x = am.array();
            double[] hold = new double[nPoints];

            for(int i=0; i<nPoints; i++){
              hold[i] = y[this.xIndices[i]];
          }
View Full Code Here
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
            // Calculate weighting matrix
            this.calcWeights();

            // order data
            ArrayMaths am = new ArrayMaths(x1);
            am = am.sort();
            this.x1indices = am.originalIndices();
            x1 = am.array();
            double[][][] hold = new double[lPoints][mPoints][nPoints];
            double[][][] hold1 = null;
            double[][][] hold2 = null;
            double[][][] hold12 = null;

            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      hold[i][j][k] = y[this.x1indices[i]][j][k];
                  }
              }
          }
            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      y[i][j][k] = hold[i][j][k];
                  }
              }
          }

          if(flag){
                hold1 = new double[lPoints][mPoints][nPoints];
                hold2 = new double[lPoints][mPoints][nPoints];
                hold12 = new double[lPoints][mPoints][nPoints];
                for(int i=0; i<lPoints; i++){
                  for(int j=0; j<mPoints; j++){
                      for(int k=0; k<nPoints; k++){
                          hold1[i][j][k] = dydx1[this.x1indices[i]][j][k];
                          hold2[i][j][k] = dydx2[this.x1indices[i]][j][k];
                          hold12[i][j][k] = d2ydx1dx2[this.x1indices[i]][j][k];
                      }
                  }
              }
                for(int i=0; i<lPoints; i++){
                  for(int j=0; j<mPoints; j++){
                      for(int k=0; k<nPoints; k++){
                          dydx1[i][j][k] = hold1[i][j][k];
                          dydx2[i][j][k] = hold2[i][j][k];
                          d2ydx1dx2[i][j][k] = hold12[i][j][k];
                      }
                  }
              }
            }

          am = new ArrayMaths(x2);
            am = am.sort();
            this.x2indices = am.originalIndices();
            x2 = am.array();

            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      hold[i][j][k] = y[i][this.x2indices[j]][k];
                  }
              }
          }
            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      y[i][j][k] = hold[i][j][k];
                  }
              }
          }

          if(flag){
                for(int i=0; i<lPoints; i++){
                  for(int j=0; j<mPoints; j++){
                      for(int k=0; k<nPoints; k++){
                          hold1[i][j][k] = dydx1[i][this.x2indices[j]][k];
                          hold2[i][j][k] = dydx2[i][this.x2indices[j]][k];
                          hold12[i][j][k] = d2ydx1dx2[i][this.x2indices[j]][k];
                      }
                  }
              }
                for(int i=0; i<lPoints; i++){
                  for(int j=0; j<mPoints; j++){
                      for(int k=0; k<nPoints; k++){
                          dydx1[i][j][k] = hold1[i][j][k];
                          dydx2[i][j][k] = hold2[i][j][k];
                          d2ydx1dx2[i][j][k] = hold12[i][j][k];
                      }
                  }
              }
          }

            am = new ArrayMaths(x3);
            am = am.sort();
            this.x3indices = am.originalIndices();
            x3 = am.array();

            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      hold[i][j][k] = y[i][j][this.x3indices[k]];
View Full Code Here
185
186
187
188
189
190
191
192
193
194
    }

    public RankAnalysis(float[][] values, float[] errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
195
196
197
198
199
200
201
202
203
204

    public RankAnalysis(long[][] values, long[] errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
204
205
206
207
208
209
210
211
212
213
    }

    public RankAnalysis(int[][] values, int[] errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
213
214
215
216
217
218
219
220
221
222
    }

    public RankAnalysis(BigDecimal[][] values, BigDecimal[] errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
222
223
224
225
226
227
228
229
230
231
    }

    public RankAnalysis(BigInteger[][] values, BigInteger[] errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
239
240
241
242
243
244
245
246
247
248
    }

    public RankAnalysis(ArrayList<Object>[] values, ArrayList<Object> errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
248
249
250
251
252
253
254
255
256
257
    }

    public RankAnalysis(Vector<Object>[] values, Vector<Object> errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
258
259
260
261
262
263
264
265
266
267
    public RankAnalysis(Scores values){
        this.values = values.usedScoresAsRowPerItem();
        Matrix mat = new Matrix(this.values);
        double[] errors = mat.rowStandardDeviations();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }
View Full Code Here
TOP

Related Classes of flanagan.math.ArrayMaths

  • flanagan.analysis.BoxCox
  • flanagan.analysis.BoxCoxFunction
  • flanagan.analysis.Cronbach
  • flanagan.analysis.RankAnalysis
  • flanagan.analysis.Stat
  • flanagan.circuits.Phasor
  • flanagan.circuits.PhasorMatrix
  • flanagan.complex.Complex
  • flanagan.complex.ComplexMatrix
  • flanagan.complex.ComplexPoly
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.