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/**
 * 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 -------------------------------- */

package com.github.jessemull.microflexbigdecimal.stat;

/* ----------------------------- Dependencies ------------------------------ */

import java.math.BigDecimal;
import java.math.MathContext;
import java.util.ArrayList;
import java.util.List;

/**
 * This splits up big decimal plate stacks, plates, wells and well sets into sublists
 * of size p.
 * 
 * 
* * Statistical operations can be performed on stacks, plates, sets and wells using * standard or aggregated functions. Standard functions calculate the desired * statistic for each well in the stack, plate or set. Aggregated functions aggregate * the values from all the wells in the stack, plate or set and perform the statistical * operation on the aggregated values. Both standard and aggregated functions can * be performed on a subset of data within the stack, plate, set or well. * *

* * The methods within the MicroFlex library are meant to be flexible and the * descriptive statistic object supports operations using a single stack, plate, * set or well as well as collections and arrays of stacks, plates, sets or wells. * * * * * * * * * * * * * * * * * * *
Operation
Beginning
Index
Length of
Subset
Input/Output
* * * * *
Standard
*
* * * * *
+/-
*
* * * * *
+/-
*
* * * * * * * *
Accepts a single well, set, plate or stack as input
Calculates the statistic for each well in a well, set, plate or stack
*
* * * * *
Aggregated
*
* * * * *
+/-
*
* * * * *
+/-
*
* * * * * * * *
Accepts a single well/set/plate/stack or a collection/array of wells/sets/plates/stacks as input
Aggregates the data from all the wells in a well/set/plate/stack and calculates the statistic using the aggregated data
*
* * @author Jesse L. Mull * @update Updated Oct 18, 2016 * @address http://www.jessemull.com * @email [email protected] */ public class Chunks extends QuantileStatisticListContext { /* --------------- Methods for splitting lists into chunks -------------- */ /** * Splits the list into chunks. * @param List the list * @param int the chunk size * @param MathContext the math context * @return the result */ public List> calculate(List list, int p, MathContext mc) { if(list.size() < 1) { return null; } List> chunks = new ArrayList>(); for(int i = 0; i < list.size(); i += p) { int end = i + p >= list.size() ? list.size(): i + p; chunks.add(list.subList(i, end)); } return chunks; }; /** * Splits the values between the beginning and ending indices into chunks. * @param List the list * @param int beginning index of subset * @param int length of subset * @param int the chunk size * @param MathContext the math context * @return the result */ public List> calculate(List list, int begin, int length, int p, MathContext mc) { return this.calculate(list.subList(begin, begin + length), p, mc); }; }




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