mirror of
https://bitbucket.org/smil3y/kde-extraapps.git
synced 2025-02-23 18:32:53 +00:00
213 lines
6.2 KiB
C++
213 lines
6.2 KiB
C++
/*
|
|
Copyright (C) 2001 - 2013 Evan Teran
|
|
evan.teran@gmail.com
|
|
|
|
Copyright (C) 1996 - 2000 Bernd Johannes Wuebben
|
|
wuebben@kde.org
|
|
|
|
This program is free software; you can redistribute it and/or
|
|
modify it under the terms of the GNU General Public License as
|
|
published by the Free Software Foundation; either version 2 of
|
|
the License, or (at your option) any later version.
|
|
|
|
This program is distributed in the hope that it will be useful,
|
|
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
GNU General Public License for more details.
|
|
|
|
You should have received a copy of the GNU General Public License
|
|
along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|
*/
|
|
|
|
#include "stats.h"
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: KStats
|
|
// Desc: constructor
|
|
//------------------------------------------------------------------------------
|
|
KStats::KStats() : error_flag_(false) {
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: ~KStats
|
|
// Desc: destructor
|
|
//------------------------------------------------------------------------------
|
|
KStats::~KStats() {
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: clearAll
|
|
// Desc: empties the data set
|
|
//------------------------------------------------------------------------------
|
|
void KStats::clearAll() {
|
|
data_.clear();
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: enterData
|
|
// Desc: adds an item to the data set
|
|
//------------------------------------------------------------------------------
|
|
void KStats::enterData(const KNumber &data) {
|
|
data_.push_back(data);
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: clearLast
|
|
// Desc: remoaves the last item from the data set
|
|
//------------------------------------------------------------------------------
|
|
void KStats::clearLast() {
|
|
|
|
if(!data_.isEmpty()) {
|
|
data_.pop_back();
|
|
}
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: sum
|
|
// Desc: calculates the SUM of all values in the data set
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::sum() const {
|
|
|
|
KNumber result = KNumber::Zero;
|
|
|
|
Q_FOREACH(const KNumber &x, data_) {
|
|
result += x;
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: median
|
|
// Desc: calculates the MEDIAN of all values in the data set
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::median() {
|
|
|
|
KNumber result = KNumber::Zero;
|
|
size_t index;
|
|
|
|
unsigned int bound = count();
|
|
|
|
if (bound == 0) {
|
|
error_flag_ = true;
|
|
return KNumber::Zero;
|
|
}
|
|
|
|
if (bound == 1)
|
|
return data_.at(0);
|
|
|
|
// need to copy data_-list, because sorting afterwards
|
|
QVector<KNumber> tmp_data(data_);
|
|
qSort(tmp_data);
|
|
|
|
if (bound & 1) { // odd
|
|
index = (bound - 1) / 2 + 1;
|
|
result = tmp_data.at(index - 1);
|
|
} else { // even
|
|
index = bound / 2;
|
|
result = ((tmp_data.at(index - 1)) + (tmp_data.at(index))) / KNumber(2);
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: std_kernel
|
|
// Desc: calculates the STD Kernel of all values in the data set
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::std_kernel() {
|
|
KNumber result = KNumber::Zero;
|
|
const KNumber mean_value = mean();
|
|
|
|
if(mean_value.type() != KNumber::TYPE_ERROR) {
|
|
Q_FOREACH(const KNumber &x, data_) {
|
|
result += (x - mean_value) * (x - mean_value);
|
|
}
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: sum_of_squares
|
|
// Desc: calculates the SUM of all values in the data set (each squared)
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::sum_of_squares() const {
|
|
|
|
KNumber result = KNumber::Zero;
|
|
|
|
Q_FOREACH(const KNumber &x, data_) {
|
|
result += (x * x);
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: mean
|
|
// Desc: calculates the MEAN of all values in the data set
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::mean() {
|
|
|
|
if (data_.isEmpty()) {
|
|
error_flag_ = true;
|
|
return KNumber::Zero;
|
|
}
|
|
|
|
return (sum() / KNumber(count()));
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: std
|
|
// Desc: calculates the STANDARD DEVIATION of all values in the data set
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::std() {
|
|
|
|
if (data_.isEmpty()) {
|
|
error_flag_ = true;
|
|
return KNumber::Zero;
|
|
}
|
|
|
|
return (std_kernel() / KNumber(count())).sqrt();
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: sample_std
|
|
// Desc: calculates the SAMPLE STANDARD DEVIATION of all values in the data set
|
|
//------------------------------------------------------------------------------
|
|
KNumber KStats::sample_std() {
|
|
|
|
KNumber result = KNumber::Zero;
|
|
|
|
if (count() < 2) {
|
|
error_flag_ = true;
|
|
return KNumber::Zero;
|
|
}
|
|
|
|
result = (std_kernel() / KNumber(count() - 1)).sqrt();
|
|
|
|
return result;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: count
|
|
// Desc: returns the amount of values in the data set
|
|
//------------------------------------------------------------------------------
|
|
int KStats::count() const {
|
|
|
|
return data_.size();
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Name: error
|
|
// Desc: returns the error state AND clears it
|
|
//------------------------------------------------------------------------------
|
|
bool KStats::error() {
|
|
|
|
bool value = error_flag_;
|
|
error_flag_ = false;
|
|
return value;
|
|
}
|
|
|
|
|
|
|