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Revert [67111] (addition of boost/detail/iomanip.hpp) and all the commits that depend on it. ([68137], [68140], [68141], [68154], and [68165]).

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[SVN r68168]
This commit is contained in:
Steven Watanabe
2011-01-15 08:11:51 +00:00
parent a52fce70a8
commit 3524499fc0
99 changed files with 455 additions and 536 deletions
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19
example/normal_misc_examples.cpp
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@@ -21,11 +21,10 @@ First we need some includes to access the normal distribution
#include <boost/math/distributions/normal.hpp> // for normal_distribution
using boost::math::normal; // typedef provides default type is double.
#include <ios>
#include <iostream>
using std::cout; using std::endl; using std::left; using std::showpoint; using std::noshowpoint;
#include <boost/detail/iomanip.hpp>
using boost::detail::setw; using boost::detail::setprecision;
#include <iomanip>
using std::setw; using std::setprecision;
#include <limits>
using std::numeric_limits;
@@ -58,8 +57,8 @@ int main()
cout.precision(5);
for (double z = -range; z < range + step; z += step)
{
cout << left << boost::detail::setprecision(3) << boost::detail::setw(6) << z << " "
<< boost::detail::setprecision(precision) << boost::detail::setw(12) << pdf(s, z) << endl;
cout << left << setprecision(3) << setw(6) << z << " "
<< setprecision(precision) << setw(12) << pdf(s, z) << endl;
}
cout.precision(6); // default
/*`And the area under the normal curve from -[infin] up to z,
@@ -72,8 +71,8 @@ int main()
cout << " z " " cdf " << endl;
for (double z = -range; z < range + step; z += step)
{
cout << left << boost::detail::setprecision(3) << boost::detail::setw(6) << z << " "
<< boost::detail::setprecision(precision) << boost::detail::setw(12) << cdf(s, z) << endl;
cout << left << setprecision(3) << setw(6) << z << " "
<< setprecision(precision) << setw(12) << cdf(s, z) << endl;
}
cout.precision(6); // default
@@ -111,7 +110,7 @@ It is convenient to have an alpha level for the probability that z lies outside
This will not be some nice neat number like 0.05, but we can easily calculate it,
*/
double alpha1 = cdf(s, -1) * 2; // 0.3173105078629142
cout << boost::detail::setprecision(17) << "Significance level for z == 1 is " << alpha1 << endl;
cout << setprecision(17) << "Significance level for z == 1 is " << alpha1 << endl;
/*`
and place in our array of favorite alpha values.
*/
@@ -123,11 +122,11 @@ Confidence value as % is (1 - alpha) * 100 (so alpha 0.05 == 95% confidence)
that the true occurrence frequency lies *inside* the calculated interval.
*/
cout << "level of significance (alpha)" << boost::detail::setprecision(4) << endl;
cout << "level of significance (alpha)" << setprecision(4) << endl;
cout << "2-sided 1 -sided z(alpha) " << endl;
for (int i = 0; i < sizeof(alpha)/sizeof(alpha[0]); ++i)
{
cout << boost::detail::setw(15) << alpha[i] << boost::detail::setw(15) << alpha[i] /2 << boost::detail::setw(10) << quantile(complement(s, alpha[i]/2)) << endl;
cout << setw(15) << alpha[i] << setw(15) << alpha[i] /2 << setw(10) << quantile(complement(s, alpha[i]/2)) << endl;
// Use quantile(complement(s, alpha[i]/2)) to avoid potential loss of accuracy from quantile(s, 1 - alpha[i]/2)
}
cout << endl;