protected void Button1_Click(object sender, EventArgs e)
{
try
{
double score = float.Parse(TextBox1.Text);
if (score > 100 || score < 0)
{
Response.Write("请输入正确的成绩");
}
else
{
Mean me = new Mean();
double a = me.calcMean(Scores2019);
double b = me.calcVari(Scores2019);
float z1 = intoZ(score, a, b);
float z2 = intoZ(110, a, b);
double result = ClassStatistics.selfCaculate(z2) - ClassStatistics.selfCaculate(z1);
result = result * 100;
Response.Write("估计你的排名在前" + result + "%");
}
}
catch (Exception ex)
{
Response.Write("输入错误！" + "</br>" + ex.Message);
}
finally
{
}
}
private void button1_Click(object sender, EventArgs e) // create report
{
ClassStatistics cl = new ClassStatistics(this.houseKeeper);
cl.RefToLastForm = this;
this.Visible = false;
cl.Show();
}
public ActionResult StatisticContent(Schools id, int year)
{
var stats = new ClassStatistics {
school = id, usergroup = UserGroup.STUDENT, year = year
};
stats.CalculateStats(repository);
return(View(stats));
}
public void CreateClassStatisticks_PacientCollectionWithFeatures_BinaryFeaturesStat()
{
var classStat = new ClassStatistics(patients, Classification.Normal);
Feature feature = new Feature {
Id = 2, Value = 1, Type = FeatureType.Binary
};
Assert.Equal(0.667, classStat.FeaturesProbabilities(feature), 3);
}
public void CreateClassStatisticks_PacientCollectionWithFeatures_Probability0()
{
ContinousFeaturesRanges.Buckets = 10;
var classStat = new ClassStatistics(patients, Classification.Normal);
Feature feature = new Feature {
Id = 17, Value = 0.6, Type = FeatureType.Continuous
};
Assert.Equal(0, classStat.FeaturesProbabilities(feature), 3);
}
protected void Button1_Click(object sender, EventArgs e)
{
try
{
float x = float.Parse(TextBox1.Text);
float z = (x - 86.07143F) / 6.198667F;
float p = ClassStatistics.selfCaculate(z);
float a = (1 - p) * 100;
Response.Write("排名大概是前" + a + "%");
}
catch (Exception ex)
{
Response.Write("输入内容有误！" + "</br>" + ex);
}
}
private static ClassStatistics CreateClassStatistics()
{
var classStats = new ClassStatistics(new NamespaceStatistics(new ModuleStatistics("module", Guid.Empty, 0, 0), "ns"), "Clazz");
foreach (var methodStats in Enumerable.Range(1, 10)
.Select(x => new MethodStatistics((uint)x, "Method " + x, "Method " + x, new VSCoverageStatistics
{
BlocksCovered = (uint)x,
BlocksNotCovered = (uint)x - 1,
LinesCovered = (uint)x,
LinesNotCovered = (uint)x - 1,
LinesPartiallyCovered = (uint)x
})))
classStats.AddMethod(methodStats);
return classStats;
}
protected void Button1_Click(object sender, EventArgs e)
{
double z1, z2;
double x1, x2;
double m, s, sigma;//均值\方差\标准差
try
{
m = double.Parse(txtMean.Text);
s = double.Parse(txtS.Text);//输入的是方差
sigma = Math.Sqrt(s);
//处理统计区间，如果是第二个文本框内容是A，表示正无穷
//如果是第一个文本框内容是A，表示负无穷
if (txtX1.Text.ToUpper() != "A")
{
x1 = double.Parse(txtX1.Text);
z1 = (x1 - m) / s;//标准正态变换
}
else
{
z1 = -4;//只要小于-3.8就可以视为负无穷
}
if (txtX2.Text.ToUpper() != "A")
{
x2 = double.Parse(txtX2.Text);
z2 = (x2 - m) / s;//标准正态变换
}
else
{
z2 = 4;//只要大于3.8就可以视为正无穷
}
Response.Write(string.Format("转换为标准正态分布之后，所求的区间是{0}-{1}，所求概率是{2}",
z1, z2, ClassStatistics.selfCaculate(z2) - ClassStatistics.selfCaculate(z1)
)
);
}
catch
{
Response.Write("输入内容有误！");
}
}
protected void Button1_Click(object sender, EventArgs e)
{
string filepath = @"某公司统计的开机时间17000条左右.csv";
classCSVHelper csh = new classCSVHelper();
filepath = Server.MapPath(filepath);
DataTable dt = csh.readCsvTxt(filepath, Encoding.Default);
double[] Time = new double[dt.Rows.Count];
int j = 0;
//数据清洗
for (int i = 0; i < dt.Rows.Count; i++)
{
if (dt.Rows[i][1].ToString() != "" && double.Parse(dt.Rows[i][1].ToString()) > 0)
{
Time[j] = double.Parse(dt.Rows[i][1].ToString());
j++;
}
}
//建立新数组，防止出现null值
double[] openTime = new double[j];
for (int i = 0; i < j; i++)
{
openTime[i] = Time[i];
}
double mean = calMean(openTime);
double devar = Caldevar(openTime);
try
{
double second = double.Parse(TextBox1.Text);
double z = (second - mean) / devar;
double rate = 1 - ClassStatistics.selfCaculate(z);
Response.Write(string.Format("你的开机速度击败了{0:F}%的成员！", rate * 100));
}
catch (Exception ex)
{
Response.Write(ex.Message);
}
}
protected void BtnEstimate_Click(object sender, EventArgs e)
{
double[] existedGrades = { 90, 79, 91, 89, 77, 82, 85, 88, 78, 92,
92, 94, 93, 72, 92, 91, 0, 92, 76, 86,87, 77, 79, 89, 90, 90,
81, 92, 86 };
double grade;
try
{
grade = double.Parse(TxtGrade.Text);
double mean = CalcMean(existedGrades);
//Response.Write(mean.ToString()+"<br />");
double s = Math.Sqrt(CalcVariance(existedGrades));
//Response.Write(s);
double z = (grade - mean) / s;
double rank = 1 - ClassStatistics.selfCaculate((float)z);
Response.Write(string.Format("{0}分排名大约为前{1:F2}%", grade, rank * 100));
}
catch (Exception Ex)
{
Response.Write(Ex.Message);
}
}
/// <inheritdoc />
public override bool Equals(object obj)
{
if (object.ReferenceEquals(null, obj))
{
return(false);
}
if (object.ReferenceEquals(this, obj))
{
return(true);
}
ClassStatistics other = obj as ClassStatistics;
if (other == null)
{
return(false);
}
return(object.Equals(this.All, other.All) &&
object.Equals(this.WithTruth, other.WithTruth) &&
object.Equals(this.RejectCurveAll, other.RejectCurveAll) &&
object.Equals(this.RejectCurveTruth, other.RejectCurveTruth));
}
public ActionResult ExportStats(Schools school, UserGroup ugroup, int year)
{
var stats = new ClassStatistics {
school = school, usergroup = ugroup, year = year
};
stats.CalculateStats(repository);
var ms = new MemoryStream();
using (var fs =
new FileStream(
AppDomain.CurrentDomain.BaseDirectory + "/Content/templates/NPOITemplate.xls",
FileMode.Open, FileAccess.Read, FileShare.Read))
{
var templateWorkbook = new HSSFWorkbook(fs, true);
var sheet = templateWorkbook.CreateSheet(school.ToString());
// create fonts
var boldStyle = templateWorkbook.CreateCellStyle();
var boldFont = templateWorkbook.CreateFont();
boldFont.Boldweight = (short)FontBoldWeight.BOLD;
boldStyle.SetFont(boldFont);
var rowcount = 0;
var row = sheet.CreateRow(rowcount++);
var colcount = 0;
// show general stats first
row.CreateCell(colcount).SetCellValue(SecurityElement.Escape("Malaysian"));
colcount += 2;
row.CreateCell(colcount).SetCellValue(SecurityElement.Escape("Foreigners"));
colcount += 2;
row.CreateCell(colcount).SetCellValue(SecurityElement.Escape("SubTotal"));
colcount += 2;
row.CreateCell(colcount).SetCellValue(SecurityElement.Escape("Total"));
row = sheet.CreateRow(rowcount++);
for (int i = 0; i < 3; i++)
{
row.CreateCell(i * 2).SetCellValue(SecurityElement.Escape("M"));
row.CreateCell(i * 2 + 1).SetCellValue(SecurityElement.Escape("F"));
}
row = sheet.CreateRow(rowcount++);
row.CreateCell(0, CellType.NUMERIC).SetCellValue(stats.msian_male);
row.CreateCell(1, CellType.NUMERIC).SetCellValue(stats.msian_female);
row.CreateCell(2, CellType.NUMERIC).SetCellValue(stats.foreign_male);
row.CreateCell(3, CellType.NUMERIC).SetCellValue(stats.foreign_female);
row.CreateCell(4, CellType.NUMERIC).SetCellValue(stats.msian_male + stats.foreign_male);
row.CreateCell(5, CellType.NUMERIC).SetCellValue(stats.msian_female + stats.foreign_female);
row.CreateCell(6, CellType.NUMERIC).SetCellValue(stats.msian_male + stats.foreign_male + stats.msian_female + stats.foreign_female);
foreach (var entry in stats.collections)
{
// class row
row = sheet.CreateRow(rowcount++);
row.CreateCell(0).SetCellValue(SecurityElement.Escape(entry.name));
row.GetCell(0).CellStyle = boldStyle;
// header row1
row = sheet.CreateRow(rowcount++);
colcount = 0;
foreach (var race in entry.GetList())
{
row.CreateCell(colcount).SetCellValue(SecurityElement.Escape(race.name));
colcount += 2;
}
row.CreateCell(colcount).SetCellValue(SecurityElement.Escape("Total"));
// header row2
row = sheet.CreateRow(rowcount++);
for (int i = 0; i < entry.GetList().Count(); i++)
{
row.CreateCell(i * 2).SetCellValue(SecurityElement.Escape("M"));
row.CreateCell(i * 2 + 1).SetCellValue(SecurityElement.Escape("F"));
}
// stats row
row = sheet.CreateRow(rowcount++);
colcount = 0;
foreach (var race in entry.GetList())
{
row.CreateCell(colcount++).SetCellValue(race.male);
row.CreateCell(colcount++).SetCellValue(race.female);
}
row.CreateCell(colcount).SetCellValue(entry.GetList().Sum(x => x.male + x.female));
}
// delete first sheet
templateWorkbook.RemoveSheetAt(0);
templateWorkbook.Write(ms);
}
// return created file path);
return(File(ms.ToArray(), "application/vnd.ms-excel", string.Format("Statistics_{0}_{1}.xls", ugroup, school)));
}
public void CreateClassStatisticks_PacientCollections_APrioriStat()
{
var classStat = new ClassStatistics(patients, Classification.Normal);
Assert.Equal(0.333, classStat.ClassProbability, 3);
}