forked from amazingfate/loongoffice
Change-Id: Ibf553adbfe0b892d920e22d3a74d3433b6d6659a Reviewed-on: https://gerrit.libreoffice.org/5853 Reviewed-by: Markus Mohrhard <markus.mohrhard@googlemail.com> Tested-by: Markus Mohrhard <markus.mohrhard@googlemail.com>
292 lines
11 KiB
C++
292 lines
11 KiB
C++
/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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/*
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* This file is part of the LibreOffice project.
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*
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* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, You can obtain one at http://mozilla.org/MPL/2.0/.
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*
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* This file incorporates work covered by the following license notice:
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*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed
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* with this work for additional information regarding copyright
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* ownership. The ASF licenses this file to you under the Apache
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* License, Version 2.0 (the "License"); you may not use this file
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* except in compliance with the License. You may obtain a copy of
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* the License at http://www.apache.org/licenses/LICENSE-2.0 .
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*/
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#include "res_Trendline.hxx"
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#include "tp_Trendline.hrc"
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#include "ResId.hxx"
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#include "Strings.hrc"
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#include "Bitmaps.hrc"
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#include "chartview/ChartSfxItemIds.hxx"
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#include <svl/intitem.hxx>
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#include <vector>
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#include <algorithm>
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namespace chart
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{
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TrendlineResources::TrendlineResources( Window * pParent, const SfxItemSet& rInAttrs ) :
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m_aFLType( pParent, SchResId( FL_TYPE )),
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m_aRBLinear( pParent, SchResId( RB_LINEAR )),
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m_aRBLogarithmic( pParent, SchResId( RB_LOGARITHMIC )),
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m_aRBExponential( pParent, SchResId( RB_EXPONENTIAL )),
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m_aRBPower( pParent, SchResId( RB_POWER )),
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m_aRBPolynomial( pParent, SchResId( RB_POLYNOMIAL )),
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m_aRBMovingAverage( pParent, SchResId( RB_MOVING_AVERAGE )),
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m_aFILinear( pParent, SchResId( FI_LINEAR )),
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m_aFILogarithmic( pParent, SchResId( FI_LOGARITHMIC )),
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m_aFIExponential( pParent, SchResId( FI_EXPONENTIAL )),
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m_aFIPower( pParent, SchResId( FI_POWER )),
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m_aFIPolynomial( pParent, SchResId( FI_POLYNOMIAL )),
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m_aFIMovingAverage( pParent, SchResId( FI_MOVING_AVERAGE )),
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m_aFT_Degree( pParent, SchResId( FT_DEGREE )),
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m_aNF_Degree( pParent, SchResId( NF_DEGREE )),
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m_aFT_Period( pParent, SchResId( FT_PERIOD )),
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m_aNF_Period( pParent, SchResId( NF_PERIOD )),
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m_aFT_ExtrapolateForward( pParent, SchResId( FT_EXTRAPOLATE_FORWARD )),
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m_aNF_ExtrapolateForward( pParent, SchResId( NF_EXTRAPOLATE_FORWARD )),
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m_aFT_ExtrapolateBackward( pParent, SchResId( FT_EXTRAPOLATE_BACKWARD )),
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m_aNF_ExtrapolateBackward( pParent, SchResId( NF_EXTRAPOLATE_BACKWARD )),
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m_aCB_SetIntercept( pParent, SchResId( CB_SET_INTERCEPT )),
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m_aNF_InterceptValue( pParent, SchResId( NF_INTERCEPT_VALUE )),
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m_aFLEquation( pParent, SchResId( FL_EQUATION )),
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m_aCBShowEquation( pParent, SchResId( CB_SHOW_EQUATION )),
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m_aCBShowCorrelationCoeff( pParent, SchResId( CB_SHOW_CORRELATION_COEFF )),
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m_eTrendLineType( CHREGRESS_LINEAR ),
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m_bTrendLineUnique( true )
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{
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FillValueSets();
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m_aRBLinear.SetClickHdl( LINK(this, TrendlineResources, SelectTrendLine ));
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m_aRBLogarithmic.SetClickHdl( LINK(this, TrendlineResources, SelectTrendLine ));
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m_aRBExponential.SetClickHdl( LINK(this, TrendlineResources, SelectTrendLine ));
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m_aRBPower.SetClickHdl( LINK(this, TrendlineResources, SelectTrendLine ));
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m_aRBPolynomial.SetClickHdl( LINK(this, TrendlineResources, SelectTrendLine ));
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m_aRBMovingAverage.SetClickHdl( LINK(this, TrendlineResources, SelectTrendLine ));
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m_aNF_InterceptValue.SetMin( SAL_MIN_INT64 );
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m_aNF_InterceptValue.SetMax( SAL_MAX_INT64 );
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Reset( rInAttrs );
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UpdateControlStates();
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}
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TrendlineResources::~TrendlineResources()
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{}
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IMPL_LINK( TrendlineResources, SelectTrendLine, RadioButton *, pRadioButton )
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{
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if( pRadioButton == &m_aRBLinear )
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m_eTrendLineType = CHREGRESS_LINEAR;
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else if( pRadioButton == &m_aRBLogarithmic )
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m_eTrendLineType = CHREGRESS_LOG;
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else if( pRadioButton == &m_aRBExponential )
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m_eTrendLineType = CHREGRESS_EXP;
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else if( pRadioButton == &m_aRBPower )
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m_eTrendLineType = CHREGRESS_POWER;
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else if( pRadioButton == &m_aRBPolynomial )
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m_eTrendLineType = CHREGRESS_POLYNOMIAL;
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else if( pRadioButton == &m_aRBMovingAverage )
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m_eTrendLineType = CHREGRESS_MOVING_AVERAGE;
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m_bTrendLineUnique = true;
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UpdateControlStates();
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return 0;
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}
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void TrendlineResources::Reset( const SfxItemSet& rInAttrs )
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{
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const SfxPoolItem *pPoolItem = NULL;
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SfxItemState aState = rInAttrs.GetItemState( SCHATTR_REGRESSION_TYPE, sal_True, &pPoolItem );
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m_bTrendLineUnique = ( aState != SFX_ITEM_DONTCARE );
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if( aState == SFX_ITEM_SET )
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{
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const SvxChartRegressItem * pItem = dynamic_cast< const SvxChartRegressItem * >( pPoolItem );
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if( pItem )
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{
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m_eTrendLineType = pItem->GetValue();
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}
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}
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if( rInAttrs.GetItemState( SCHATTR_REGRESSION_DEGREE, sal_True, &pPoolItem ) == SFX_ITEM_SET )
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{
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sal_Int32 nDegree = static_cast< const SfxInt32Item * >( pPoolItem )->GetValue();
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m_aNF_Degree.SetValue( nDegree );
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}
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else
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{
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m_aNF_Degree.SetValue( 2 );
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}
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if( rInAttrs.GetItemState( SCHATTR_REGRESSION_PERIOD, sal_True, &pPoolItem ) == SFX_ITEM_SET )
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{
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sal_Int32 nPeriod = static_cast< const SfxInt32Item * >( pPoolItem )->GetValue();
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m_aNF_Period.SetValue( nPeriod );
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}
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else
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{
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m_aNF_Period.SetValue( 2 );
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}
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if( rInAttrs.GetItemState( SCHATTR_REGRESSION_EXTRAPOLATE_FORWARD, sal_True, &pPoolItem ) == SFX_ITEM_SET )
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{
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double nValue = static_cast< const SvxDoubleItem * >( pPoolItem )->GetValue() * 100;
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m_aNF_ExtrapolateForward.SetValue( (sal_Int64) nValue );
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}
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else
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{
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m_aNF_ExtrapolateForward.SetValue( 0 );
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}
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if( rInAttrs.GetItemState( SCHATTR_REGRESSION_EXTRAPOLATE_BACKWARD, sal_True, &pPoolItem ) == SFX_ITEM_SET )
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{
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double nValue = static_cast< const SvxDoubleItem * >( pPoolItem )->GetValue() * 100;
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m_aNF_ExtrapolateBackward.SetValue( (sal_Int64) nValue );
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}
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else
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{
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m_aNF_ExtrapolateBackward.SetValue( 0 );
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}
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if( rInAttrs.GetItemState( SCHATTR_REGRESSION_INTERCEPT_VALUE, sal_True, &pPoolItem ) == SFX_ITEM_SET )
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{
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double nValue = static_cast< const SvxDoubleItem * >( pPoolItem )->GetValue() * 10000;
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m_aNF_InterceptValue.SetValue( (sal_Int64) nValue );
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}
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else
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{
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m_aNF_InterceptValue.SetValue( 0 );
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}
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aState = rInAttrs.GetItemState( SCHATTR_REGRESSION_SET_INTERCEPT, sal_True, &pPoolItem );
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if( aState == SFX_ITEM_DONTCARE )
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{
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m_aCB_SetIntercept.EnableTriState( sal_True );
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m_aCB_SetIntercept.SetState( STATE_DONTKNOW );
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}
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else
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{
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m_aCB_SetIntercept.EnableTriState( sal_False );
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if( aState == SFX_ITEM_SET )
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m_aCB_SetIntercept.Check( static_cast< const SfxBoolItem * >( pPoolItem )->GetValue());
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}
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aState = rInAttrs.GetItemState( SCHATTR_REGRESSION_SHOW_EQUATION, sal_True, &pPoolItem );
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if( aState == SFX_ITEM_DONTCARE )
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{
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m_aCBShowEquation.EnableTriState( sal_True );
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m_aCBShowEquation.SetState( STATE_DONTKNOW );
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}
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else
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{
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m_aCBShowEquation.EnableTriState( sal_False );
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if( aState == SFX_ITEM_SET )
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m_aCBShowEquation.Check( static_cast< const SfxBoolItem * >( pPoolItem )->GetValue());
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}
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aState = rInAttrs.GetItemState( SCHATTR_REGRESSION_SHOW_COEFF, sal_True, &pPoolItem );
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if( aState == SFX_ITEM_DONTCARE )
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{
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m_aCBShowCorrelationCoeff.EnableTriState( sal_True );
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m_aCBShowCorrelationCoeff.SetState( STATE_DONTKNOW );
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}
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else
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{
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m_aCBShowCorrelationCoeff.EnableTriState( sal_False );
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if( aState == SFX_ITEM_SET )
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m_aCBShowCorrelationCoeff.Check( static_cast< const SfxBoolItem * >( pPoolItem )->GetValue());
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}
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if( m_bTrendLineUnique )
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{
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switch( m_eTrendLineType )
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{
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case CHREGRESS_LINEAR :
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m_aRBLinear.Check();
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break;
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case CHREGRESS_LOG :
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m_aRBLogarithmic.Check();
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break;
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case CHREGRESS_EXP :
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m_aRBExponential.Check();
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break;
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case CHREGRESS_POWER :
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m_aRBPower.Check();
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break;
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case CHREGRESS_POLYNOMIAL :
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m_aRBPolynomial.Check();
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break;
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case CHREGRESS_MOVING_AVERAGE :
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m_aRBMovingAverage.Check();
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break;
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default:
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break;
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}
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}
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}
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sal_Bool TrendlineResources::FillItemSet(SfxItemSet& rOutAttrs) const
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{
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if( m_bTrendLineUnique )
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rOutAttrs.Put( SvxChartRegressItem( m_eTrendLineType, SCHATTR_REGRESSION_TYPE ));
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if( m_aCBShowEquation.GetState() != STATE_DONTKNOW )
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rOutAttrs.Put( SfxBoolItem( SCHATTR_REGRESSION_SHOW_EQUATION, m_aCBShowEquation.IsChecked() ));
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if( m_aCBShowCorrelationCoeff.GetState() != STATE_DONTKNOW )
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rOutAttrs.Put( SfxBoolItem( SCHATTR_REGRESSION_SHOW_COEFF, m_aCBShowCorrelationCoeff.IsChecked() ));
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sal_Int32 aDegree = m_aNF_Degree.GetValue();
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rOutAttrs.Put(SfxInt32Item( SCHATTR_REGRESSION_DEGREE, aDegree ) );
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sal_Int32 aPeriod = m_aNF_Period.GetValue();
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rOutAttrs.Put(SfxInt32Item( SCHATTR_REGRESSION_PERIOD, aPeriod ) );
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double aExtrapolateForwardValue = m_aNF_ExtrapolateForward.GetValue() / 100.0;
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rOutAttrs.Put(SvxDoubleItem( aExtrapolateForwardValue, SCHATTR_REGRESSION_EXTRAPOLATE_FORWARD ) );
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double aExtrapolateBackwardValue = m_aNF_ExtrapolateBackward.GetValue() / 100.0;
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rOutAttrs.Put(SvxDoubleItem( aExtrapolateBackwardValue, SCHATTR_REGRESSION_EXTRAPOLATE_BACKWARD ) );
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if( m_aCB_SetIntercept.GetState() != STATE_DONTKNOW )
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rOutAttrs.Put( SfxBoolItem( SCHATTR_REGRESSION_SET_INTERCEPT, m_aCB_SetIntercept.IsChecked() ));
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double aInterceptValue = m_aNF_InterceptValue.GetValue() / 10000.0;
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rOutAttrs.Put(SvxDoubleItem( aInterceptValue, SCHATTR_REGRESSION_INTERCEPT_VALUE ) );
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return sal_True;
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}
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void TrendlineResources::FillValueSets()
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{
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m_aFILinear.SetImage( Image( SchResId( BMP_REGRESSION_LINEAR ) ) );
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m_aFILogarithmic.SetImage( Image( SchResId( BMP_REGRESSION_LOG ) ) );
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m_aFIExponential.SetImage( Image( SchResId( BMP_REGRESSION_EXP ) ) );
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m_aFIPower.SetImage( Image( SchResId( BMP_REGRESSION_POWER ) ) );
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m_aFIPolynomial.SetImage( Image( SchResId( BMP_REGRESSION_POLYNOMIAL ) ) );
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m_aFIMovingAverage.SetImage(Image( SchResId( BMP_REGRESSION_MOVING_AVERAGE ) ) );
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}
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void TrendlineResources::UpdateControlStates()
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{
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}
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} // namespace chart
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/* vim:set shiftwidth=4 softtabstop=4 expandtab: */
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