Help with Arrays to Vectors!!!

BoomWrx (10)
Hello, I am doing a project for my computer class and we are to convert arrays to vectors and change the parameters and I need help. I have the code written but need help with the conversions. Any help is highly appreciated. 


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#include <iostream> // for screen and kbd io 
#include <iomanip> 
#include <fstream>  // file io
#include <cstdlib>  // for exit()
#include <cmath>// for sqrt
#include <string>
#include <vector>
using namespace std;



void fill_vector(ifstream& in_file, vector<double>& v, double a[], const int size, int& number_used);
//Precondition: in_file is open
//Postcondition: original vector v is cleared (all elements are deleted)
// and v.size() set to 0
//v[0] through v[v.size()-1] have been filled with the values read sequentially
//from the text file opened (represented by in_file).
//The values are filled starting at index 0.
//When eof of file is reached, the number of value read must be equal to v.size().

void sort(vector<double>& v, double a[], int number_used);
//Algorithm to use: Selection Sort.
//Postcondition: The values of v[0] through v[v.size() - 1] have
//been rearranged so that v[0] <= v[1] <= ... <= v[v.size() - 1].

void swap_values(double& v1, double& v2);
//Interchanges the values of v1 and v2.Project 6 Computing Statistics Using Vectors: Mean, Standard Deviation, Median

int index_of_smallest(const vector<double>& v, int start_index, const double a[], int number_used);
//Precondition: 0 <= start_index < v.size()-1.
//Returns the index i such that v[i] is the smallest of the values
//v[start_index], v[start_index + 1], ..., v[v.size() - 1].

double mean_average(const vector<double>& v, double value[], const int size, int number_of_values );
//Precondition: v.size() > 0
//Postcondition: mean_avg returns the mean average of values in v[0]...v[v.size()-1]
//Errors: values.size() == 0 mean_average returns error code: 2.

double median_average(const vector<double>& v, const int size, int number_of_values);
//Precondition: values.size() > 0
//Postcondition: median_average returns the median_average of values in
//v[0]...v[v.size()-1]
//Errors: v.size() == 0 mean_average returns error code: 2.

double standard_deviation(const vector<double>& v, const double value[]);
//Precondition: v.size() > 0
//Postcondition: standard_deviation returns the standard_deviation of values in
//v[0]...v[v.size()-1]
//Errors: v.size() == 0 standard_deviation returns error code: 2. 


const int MAX_SIZE = 1000;

int main()
{
	ifstream input;
	char name[16];
	double value[MAX_SIZE];
	double average;
	double stdDeviation;
	double median;
	int number_of_values = 0;
	cout << "Please enter a file name: " << endl;
	cin >> name;
	
	input.open(name);
	if (input.fail())
	{
		cout << "Cannot open file " << name
			<< " Aborting." << endl;
		exit(1);
	}
	fill_vector(input, value, MAX_SIZE, number_of_values);
	input.close(); //close the input file for reading

	if (number_of_values > 0) {
		//compute stats	
		average = mean_average(value, MAX_SIZE, number_of_values);
		median = median_average(value, MAX_SIZE, number_of_values);
		stdDeviation = standard_deviation(value, MAX_SIZE, number_of_values);

		//output format specifications
		cout.setf(ios::showpoint);
		cout.setf(ios::fixed);
		cout.precision(6);

		cout << "Average of "
			<< number_of_values << ((number_of_values == 1) ? " number" : " numbers") << " is "
			<< average
			<< endl;
		cout << "Standard Deviation of "
			<< number_of_values << ((number_of_values == 1) ? " number" : " numbers") << " is "
			<< stdDeviation << endl;
		cout << "Median of "
			<< number_of_values << ((number_of_values == 1) ? " number" : " numbers") << " is "
			<< median << endl;
	}
	else
		cout << "File " << name << " is an empty file.\n";

	return 0;
}

void fill_vector(ifstream& in_file, double value[], int size, int& number_used, vector<double>& v)
{

	while (in_file >> ws && !in_file.eof() && number_used < size)// compute average
	{
		number_used++;
		in_file >> value[number_used - 1];
	}
}
 
void sort(vector<double>& v, double a[], int number_used)
{
	//selection sort
	int index_of_next_smallest;

	for (int index = 0; index < number_used - 1; index++)
	{//Place the correct value in a[index]:
		index_of_next_smallest =
			index_of_smallest(a, index, number_used);
		swap_values(a[index], a[index_of_next_smallest]);
		//a[0] <= a[1] <=...<= a[index] are the smallest of the original array 
		//elements. The rest of the elements are in the remaining positions.
	}
}


void swap_values(double& v1, double& v2)
{
	double temp;
	temp = v1;
	v1 = v2;
	v2 = temp;
}


int index_of_smallest(const vector<double>& v, const double a[], int start_index, int number_used)
{
	double min = a[start_index];
	int index_of_min = start_index;
	for (int index = start_index + 1; index < number_used; index++)
	if (a[index] < min)
	{
		min = a[index];
		index_of_min = index;
		//min is the smallest of a[start_index] through a[index]
	}

	return index_of_min;
}
double mean_average(const vector<double>& v, const double value[], const int size, int number_of_values)
{
	double sum = 0.0;
	if (number_of_values > size)
		number_of_values = size;

	for (int i = 0; i < number_of_values; i++)
		sum = sum + value[i];
	if (number_of_values > 0)
		return sum / number_of_values;
	else if (number_of_values == 0) {
		cerr << "mean_average run-time error: number of values  = " << number_of_values << endl;
		exit(2);
	}
	else {
		cerr << "mean_average run-time error: number of values  = " << number_of_values << endl;
		exit(3);
	}
}
double median_average(const vector<double> & v, double value[], const int size, int number_of_values)
{
	if (number_of_values > size)
		number_of_values = size;

	sort(value, number_of_values); 

	if (number_of_values > 0) {
		return (number_of_values % 2) ?
			value[(number_of_values) / 2]
			: ((value[number_of_values / 2 - 1] + value[number_of_values / 2]) / 2);
	}
	else if (number_of_values == 0) {
		cerr << "median_average run-time error: number of values = " << number_of_values << endl;
		exit(2);
	}
	else {
		cerr << "median_average run-time error: number of values = " << number_of_values << endl;
		exit(3);
	}
}
double standard_deviation(const vector <double>& v, const double value[], const int size, int number_of_values)
{
	double sum = 0.0;

		double stdDeviation;

	if (number_of_values > size)
		number_of_values = size;
	double average = mean_average(value, size, number_of_values);
	for (int i = 0; i < number_of_values; i++){
		sum = sum + (value[i] - average)*(value[i] - average);
	}
	//note that these errors below should be caught by mean average
	//but cannot assume that some other programmer might not 
	//change the error processing in mean average.
	if (number_of_values > 1)
		return sqrt(sum / (number_of_values - 1));
	else if (number_of_values == 1) {
		return 0.0;
	}
	else {
		cerr << "standard_deviation run-time error: number of values =" << number_of_values <<
			endl;
		exit(2);
	}
}
BoomWrx (10)
anyone??
BoomWrx (10)
Here is what I have so far.


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#include <iostream> // for screen and kbd io 
#include <iomanip> 
#include <fstream>  // file io
#include <cstdlib>  // for exit()
#include <cmath>    // for sqrt
#include <vector>   // for vector
using namespace std;


void fill_vector(ifstream& in_file, vector<double>& v);

double mean_average(const vector<double>& v);









void fill_vector(ifstream& in_file, vector<double>& v);


void sort(vector<double>& v);


void swap_values(double& v1, double& v2);
//Interchanges the values of v1 and v2.

int index_of_smallest(vector<double>& v);




double median_average(const vector<double>& v);


double standard_deviation(const vector<double>& v);


const int MAX_SIZE = 1000;

int main()
{
	ifstream input;
	char name[16];
	double value[MAX_SIZE];

	//
	vector<double> v;
	//

	double average;
	double stdDeviation;
	double median;
	int number_of_values = 0;
	cout << "Please enter a file name: "
		
		<< endl;
	
	cin >> name;
	
	input.open(name);
	if (input.fail())
	{
		cout << "Cannot open file " << name
			<< " Aborting." << endl;
		exit(1);
	}


	//
	fill_vector(input, v);
	//


	number_of_values = v.size();

	//fill_array(input, value, MAX_SIZE, number_of_values);
	input.close(); //close the input file for reading

	if (number_of_values > 0) {
		//compute stats	

	
		average = mean_average(v);
		median = median_average(v);
		stdDeviation = standard_deviation(v);

		//output format specifications
		//cout.setf(ios::showpoint);
		cout.setf(ios::fixed);
		cout.precision(6);

		cout << "Average of "
			<< number_of_values << ((number_of_values == 1) ? " number" : " numbers") << " is "
			<< average
			<< endl;
		cout << "Standard Deviation of "
			<< number_of_values << ((number_of_values == 1) ? " number" : " numbers") << " is "
			<< stdDeviation << endl;
		cout << "Median of "
			<< number_of_values << ((number_of_values == 1) ? " number" : " numbers") << " is "
			<< median << endl;
	}
	else
		cout << "File " << name << " is an empty file.\n";

	system("PAUSE");

	return 0;
}



//
void fill_vector(ifstream& in_file, vector<double>& v)
{
	int x;

	v.clear();  //empty the vector


	while (in_file >> ws && !in_file.eof())
	{
		in_file >> x;
		v.push_back(x);
	}

	for (int i = 0; i<4; i++)
		cout << v[i] << "\n";
}




void sort(double a[], int number_used)
{
	//selection sort
	int index_of_next_smallest;

	for (int index = 0; index < number_used - 1; index++)
	{//Place the correct value in a[index]:
		index_of_next_smallest =
			index_of_smallest(a, index, number_used);
		swap_values(a[index], a[index_of_next_smallest]);
		//a[0] <= a[1] <=...<= a[index] are the smallest of the original array 
		//elements. The rest of the elements are in the remaining positions.
	}
}


void swap_values(double& v1, double& v2)
{
	double temp;
	temp = v1;
	v1 = v2;
	v2 = temp;
}


int index_of_smallest(vector<double>& v)
{
	double min = a[start_index];
	int index_of_min = start_index;
	
	for (int index = start_index + 1; index < number_used; index++)
		if (a[index] < min)
		{
			min = a[index];
			index_of_min = index;
			//min is the smallest of a[start_index] through a[index]
		}

	return index_of_min;
}



//
double mean_average(const vector<double>& v)
{
	double sum = 0.0;
	int number_of_values = v.size();
	int size = v.size();

	for (int i = 0; i < number_of_values; i++)
		sum = sum + v[i];
	if (number_of_values > 0)
	{
		cout << sum / number_of_values;
		return sum / number_of_values;
	}

	else if (number_of_values == 0) {
		cerr << "mean_average run-time error: number of values  = " << number_of_values << endl;
		exit(2);
	}
	else {
		cerr << "mean_average run-time error: number of values  = " << number_of_values << endl;
		exit(3);
	}
}
//

//double mean_average(const vector<double>& v)
//{
//	double sum = 0.0;
//	int number_of_values = v.size();
//	int size = v.size();
//
//	if (number_of_values > size)
//		number_of_values = size;
//
//	for (int i = 0; i < number_of_values; i++)
//		sum = sum + value[i];
//	if (number_of_values > 0)
//		return sum / number_of_values;
//	else if (number_of_values == 0) {
//		cerr << "mean_average run-time error: number of values  = " << number_of_values << endl;
//		exit(2);
//	}
//	else {
//		cerr << "mean_average run-time error: number of values  = " << number_of_values << endl;
//		exit(3);
//	}
//}

double median_average(const vector<double>& v)
{
	int number_of_values = v.size();
	int size = v.size(); 
	
	//int value = l;


	
	if (number_of_values > size)
		number_of_values = size;

	sort(//value, number_of_values);

	if (number_of_values > 0) {
		return (number_of_values % 2) ?
			value[(number_of_values) / 2]
			: ((value[number_of_values / 2 - 1] + value[number_of_values / 2]) / 2);
	}
	else if (number_of_values == 0) {
		cerr << "median_average run-time error: number of values = " << number_of_values << endl;
		exit(2);
	}
	else {
		cerr << "median_average run-time error: number of values = " << number_of_values << endl;
		exit(3);
	}
}
double standard_deviation(const vector<double>& v)
{
	int number_of_values = v.size();
	int size = v.size();
	double sum = 0.0;

	//	double stdDeviation;

	if (number_of_values > size)
		number_of_values = size;
	double average = mean_average(value, size, number_of_values);
	for (int i = 0; i < number_of_values; i++){
		sum = sum + (value[i] - average)*(value[i] - average);
	}
	//note that these errors below should be caught by mean average
	//but cannot assume that some other programmer might not 
	//change the error processing in mean average.
	if (number_of_values > 1)
		return sqrt(sum / (number_of_values - 1));
	else if (number_of_values == 1) {
		return 0.0;
	}
	else {
		cerr << "standard_deviation run-time error: number of values =" << number_of_values <<
			endl;
		exit(2);
	}
}
JLBorges (13770)
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#include <iostream>
#include <vector>
#include <algorithm>
#include <cmath>
#include <sstream>

std::vector<double> fill_vector( std::istream& stm ) // return by value
{
    std::vector<double> vec ;
    double d ;
    while( stm >> d ) /*if( !std::isnan(d) )*/ vec.push_back(d) ;
    return vec ;
}

// invariant: sequence does not contain NaNs
void selection_sort( std::vector<double>& seq, std::size_t from_pos = 0 )
{
    if( from_pos < seq.size() )
    {
        const auto iter_from =  seq.begin() + from_pos ;

        // http://en.cppreference.com/w/cpp/algorithm/min_element
        const auto iter_smallest = std::min_element( iter_from, seq.end() ) ;

        // http://en.cppreference.com/w/cpp/algorithm/iter_swap
        std::iter_swap( iter_from, iter_smallest ) ; // std::swap( *iter_from, *iter_smallest ) ;

        selection_sort( seq, from_pos+1 ) ;
    }
}

// etc.

int main()
{
    std::istringstream stm( "3 9 8 2 9 1 6 4 8 5 7 4 3 6 6 3 9 2" ) ;

    auto seq = fill_vector(stm) ;
    const std::size_t number_used = seq.size() ;
    std::cout << number_used << " numbers were read\n" ;

    selection_sort(seq) ;
    for( double d : seq ) std::cout << d << ' ' ;
}

http://coliru.stacked-crooked.com/a/136555d8ddff80b5
LilMonsterGirl (2)
You're in my CS 220. I know that for a fact. I haven't turned this in yet because I can't figure it out for the life of me. I'm awful at coding, I don't really think I'm in the right major. Anyways, I'm getting a B somehow in his course. I guess I can be hopeful.

JLBorges, nothing that you put even looks similar to what we're doing. However, I appreciate your attempt to help.
Topic archived. No new replies allowed.