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dl4.3.tar
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dl4.3.tar
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dl4.3-source.cpp 0000664 0001750 0001750 00000021146 14131607013 013312 0 ustar lukasz lukasz #include <iostream>
#include <cmath>
#include <vector>
#include <fstream>
#include <string>
#include <cstdlib>
using namespace std;
void manual()
{
printf(" Construction of the input file: \n * File should not contain chars of the alphabet, ect. except integers (example: 4) and floating point numbers (example: 0.4). \n * File should contain three columns in the following order: X value, Y value, Uncertainty/Error Y. \n * In case of unknown uncertainties/errors in 3-rd column You should write 1.\n Usefull commands: \n * man(2) -- manual, \n * return(2) -- returns to the beginning of the program, \n * author(2) -- display information about author/authors and the used sources, \n * exit(2) -- close the program. \n Interpretation of a output: \n *A, B -- linear regression/fitted parameters with their uncertainty, \n *R^2 -- coefficient of determination, \n *Chi^2 -- chi-square, \n *n -- degree of freedom, \n *r -- correlation coefficient, \n *RSS -- residual sum of squares, \n *TSS -- total sum of squares. \n");
}
string funkcja_sprawdzajaca(string sprawdzacz)
{
string pr;
if(sprawdzacz == "exit(2)")
{
printf("\n Program dl4.3 was closed successfully. \n");
exit(0);
}
else if(sprawdzacz == "author(2)") {printf("Author: Łukasz Łysakowski. \n The following sources were used during creating the program: \n * Andrzej Zięba: ANALIZA DANYCH W NAUKACH ŚCISŁYCH I TECHNICE, PWN, Warszawa: 2014, page: 118-124 \n * www.wikipedia.org/wiki/Coefficient_of_determination \n");}
else if(sprawdzacz == "man(2)"){manual();}
else if(sprawdzacz == "return(2)") { return "L98L";}
else
{
pr = sprawdzacz;
}
return pr;
}
string funkcja_sprawdzajaca2(string a, string b)
{
string pr;
string wpisz;
bool znaczni = true;
while(znaczni){
cin >> wpisz;
if(wpisz == "exit(2)")
{
printf("\n Program dl4.3 was closed successfully. \n");
exit(0);
znaczni = false;
}
else if(wpisz == a || wpisz == b) {pr = wpisz; znaczni = false;}
else if(wpisz == "return(2)") { return "L98L";}
else if(wpisz == "author(2)") { printf("Author: Łukasz Łysakowski. \n The following sources were used during creating the program: \n * Andrzej Zięba: ANALIZA DANYCH W NAUKACH ŚCISŁYCH I TECHNICE, PWN, Warszawa: 2014, page: 118-124 \n * www.wikipedia.org/wiki/Coefficient_of_determination \n");}
else if(wpisz == "man(2)"){manual();}
else {znaczni = true;}
}
return pr;
}
struct lindop
{
double wspA, wspB, niepwspA, niepwspB, par_r, Chi2, rss, ss, dR, nsA, nsB;
};
typedef struct lindop Struct;
Struct dl4engin(vector<double> X, vector<double> Y, vector<double> U)
{
Struct l;
double A=0, B=0, C=0, D=0, E=0, F=0,Dprim=0, xsuma=0, ysuma=0, licznik=0;
for(int j=0; j<X.size(); j++)
{
xsuma=xsuma+X[j];
ysuma=ysuma+Y[j];
A=A+(1/(U[j]*U[j]));
D=D+(1/(U[j]*U[j]))*X[j];
E=E+(1/(U[j]*U[j]))*Y[j];
Dprim=Dprim+(1/(U[j]*U[j]))*X[j]*X[j];
}
double xw, yw, xw2, sredniax, sredniay;
double xsx=0, ysy=0, xsx2=0, ysy2=0, x=0, x2=0;
sredniax=xsuma/X.size();
sredniay=ysuma/Y.size();
xw=(1/A)*D;
yw=(1/A)*E;
for(int k=0; k<X.size(); k++)
{
xsx=xsx+(X[k]-sredniax);
ysy=ysy+(Y[k]-sredniay);
xsx2=xsx2+(X[k]-sredniax)*(X[k]-sredniax);
ysy2=ysy2+(Y[k]-sredniay)*(Y[k]-sredniay);
licznik=licznik+((X[k]-sredniax)*(Y[k]-sredniay));
B=B+((X[k]-xw)*(Y[k]-yw))/(U[k]*U[k]);
C=C+((X[k]-xw)*(X[k]-xw))/(U[k]*U[k]);
F=F+(X[k]*X[k])*A;
x2=x2+X[k]*X[k];
x=x+X[k];
}
xw2=(1/A)*F;
double ua, ua2, ub;
double a, b, r, R;
ua2=1/C;
ua=sqrt(ua2);
ub=sqrt(ua*ua*1/A*Dprim);
a=ua*ua*B;
b=yw-a*xw;
r=(licznik)/(sqrt(xsx2)*sqrt(ysy2));
double RSS=0, SS=0, chi2=0;
int ilosc;
ilosc = X.size();
for(int i=0;i<X.size();i++)
{
chi2=chi2+pow((Y[i]-a*X[i]-b)/U[i] , 2);
RSS=RSS+pow((Y[i]-(a*X[i]+b)),2);
SS=SS+pow((Y[i]-pow(ilosc,-1) * ysuma),2);
}
R=1-(RSS/SS);
double d, s, usA, usB;
d=ilosc*x2-(x*x);
s=sqrt(RSS/(ilosc-2));
usA=s*sqrt(ilosc/d);
usB=s*sqrt(x2/d);
l.wspA = a;
l.wspB = b;
l.niepwspA = ua;
l.niepwspB = ub;
l.par_r = r;
l.Chi2 = chi2;
l.rss = RSS;
l.ss = SS;
l.dR = R;
l.nsA = usA;
l.nsB = usB;
return l;
}
int main()
{
cout << "\n Program: dl4.3. Written by: Lukasz Lysakowski \n"<< endl;
cout << "---------------------------------------------------------------------"<<endl;
for(;;)
{
zlam1:
cout<< "Run program [1], exit [2]" <<endl;
string wybor;
wybor = funkcja_sprawdzajaca2("1", "2");
if(wybor == "L98L"){goto zlam1;}
if(wybor == "1")
{
vector<double> dx, dy, du;
double dana_du, dana_dx, dana_dy;
ifstream plik;
string nazwa, nazwa2;
bool sprawdz=true;
while(sprawdz)
{
cout << "Input file: ";
cin >> nazwa;
nazwa = funkcja_sprawdzajaca(nazwa);
if(nazwa == "L98L"){goto zlam1;}
plik.open(nazwa.c_str(),ios::in);
if(plik.fail())
{
cout << "File not found. Please give name of the input file again." << endl;
sprawdz=true;
}
else {sprawdz=false;}
}
cout << "Value x: "<< "Value y: "<<"Value u_y: "<<endl;
while(plik >> dana_dx >> dana_dy >> dana_du)
{
dx.push_back(dana_dx);
dy.push_back(dana_dy);
du.push_back(dana_du);
cout<< dana_dx <<" "<< dana_dy<<" " <<dana_du<<endl;
}
plik.close();
double a, b, ua, ub, r, chi2, RSS, SS, R, usa, usb;
Struct wynik;
wynik = dl4engin(dx, dy, du);
a= wynik.wspA;
b= wynik.wspB;
ua= wynik.niepwspA;
ub= wynik.niepwspB;
r= wynik.par_r;
chi2 = wynik.Chi2;
RSS = wynik.rss;
SS = wynik.ss;
R = wynik.dR;
usa = wynik.nsA;
usb = wynik.nsB;
cout << "---------------------------------------------------------------------"<<endl;
cout << "Results of linear regression (f(x)=Ax+B) to measurement points: " <<endl;
cout << "A= " << a<<" +- "<<ua<<endl;
cout << "B= " << b<<" +- "<<ub<<endl;
cout << "f(x)= ("<< a<<" +- "<<ua<< ") x + ("<< b<<" +- "<<ub<<")"<<endl;
cout << "R^2= " << R << endl;
cout << "Chi^2= " << chi2 << endl;
cout << "n= " << dx.size()-2 <<endl;
cout << "r= "<< r<<endl;
cout << "RSS= "<<RSS<<endl;
cout << "TSS= "<<SS<<endl;
cout << "In case of unknown (u_y=1) or scalable uncertainties:" << endl;
cout << "A= " << a<<" +- "<<usa<<endl;
cout << "B= " << b<<" +- "<<usb<<endl;
cout << "Save to file [4], or continue without saving [5]." << endl;
ofstream plikwyjsciowy;
string nazwapw;
wybor = funkcja_sprawdzajaca2("4", "5");
if(wybor == "L98L"){goto zlam1;}
if(wybor == "4")
{
cout << "Output file: ";
cin >> nazwapw;
nazwapw = funkcja_sprawdzajaca(nazwapw);
if(nazwapw == "L98L"){goto zlam1;}
plikwyjsciowy.open(nazwapw.c_str(),ios::out);
plikwyjsciowy <<"Results of linear regression (f(x)=Ax+B) to measurement points form the file: " << nazwa <<"." <<endl;
plikwyjsciowy <<"A= " << a<<" +- "<<ua<<endl;
plikwyjsciowy <<"B= " << b<<" +- "<<ub<<endl;
plikwyjsciowy <<"f(x)= ("<< a<<" +- "<<ua<< ") x + ("<< b<<" +- "<<ub<<")"<<endl;
plikwyjsciowy << "R^2= " << R << endl;
plikwyjsciowy << "Chi^2= " << chi2 << endl;
plikwyjsciowy << "n= " << dx.size()-2 <<endl;
plikwyjsciowy << "r= "<< r<<endl;
plikwyjsciowy << "RSS= "<<RSS<<endl;
plikwyjsciowy << "TSS= "<<SS<<endl;
plikwyjsciowy << "In case of unknown (u_y=1) or scalable uncertainties:" << endl;
plikwyjsciowy << "A= " << a<<" +- "<<usa<<endl;
plikwyjsciowy << "B= " << b<<" +- "<<usb<<endl;
plikwyjsciowy.close();
}
else if(wybor == "5"){continue;}
}
else if(wybor == "2"){printf("\n Program dl4.3 was closed successfully. \n"); exit(0);}
getchar();
}
return 0;
}
Makefile 0000664 0001750 0001750 00000000056 14131607013 012121 0 ustar lukasz lukasz all:
g++ dl4.3-source.cpp -o dl4.3
compile:
short-manual.txt 0000664 0001750 0001750 00000002466 14131607013 013643 0 ustar lukasz lukasz Compilation requirements:
* gcc 7.5.0 or higher
* clang 12.0.0 or higher
Compilation:
* with source (for Linux):
** g++ dl4.3-source.cpp -o dl4.3
* or
** downald the .tar file,
** explore them,
** enter into explored folder via Linux terminal
** type: make
in the folrder dl4.3 should appear dl4.3 binary file, which You can run
Run the program dl4.3 for Linux:
* in terminal type: ./dl4.3
* or: ./<path to binary file dl4.3>/dl4.3
Construction of the input file:
* File should not contain chars of the alphabet, ect. except integers (example: 4) and floating point numbers (example: 0.4).
* File should contain three columns in the following order: X value, Y value, Uncertainty/Error Y.
* In case of unknown uncertaints/errors in 3-rd column You should write 1.
Usefull commands:
* man(2) -- manual,
* return(2) -- returns to the beginning of the program,
* author(2) -- display information about author/authors and the used sources,
* exit(2) -- close the program.
Interpretation of a output:
*A, B -- linear regression/fitted parameters with their uncertainty,
*R^2 -- coefficient of determination,
*Chi^2 -- chi-square,
*n -- degree of freedom,
*r -- correlation coefficient,
*RSS -- residual sum of squares,
*TSS -- total sum of squares.