| /* |
| * ==================================================================== |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| * ==================================================================== |
| */ |
| |
| package org.apache.poi.ss.formula.functions; |
| |
| import org.apache.poi.ss.formula.eval.ValueEval; |
| import org.apache.poi.ss.formula.functions.LinearRegressionFunction.FUNCTION; |
| |
| /** |
| * Implementation of Excel function INTERCEPT()<p> |
| * |
| * Calculates the INTERCEPT of the linear regression line that is used to predict y values from x values<br> |
| * (http://introcs.cs.princeton.edu/java/97data/LinearRegression.java.html) |
| * <b>Syntax</b>:<br> |
| * <b>INTERCEPT</b>(<b>arrayX</b>, <b>arrayY</b>)<p> |
| * |
| * |
| * @author Johan Karlsteen |
| */ |
| public final class Intercept extends Fixed2ArgFunction { |
| |
| private final LinearRegressionFunction func; |
| public Intercept() { |
| func = new LinearRegressionFunction(FUNCTION.INTERCEPT); |
| } |
| |
| public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, |
| ValueEval arg0, ValueEval arg1) { |
| return func.evaluate(srcRowIndex, srcColumnIndex, arg0, arg1); |
| } |
| } |
| |