added the Calculators Thomas made in the fall. Added parameter and command error...

[mothur.git] / calculator.h

diff --git a/calculator.h b/calculator.h
index 8c935af9cac59cf8be4723eb5d1bbc3aac37cfab..c87d5c7ca305dc229110f8c81577a5af7c98fd40 100644 (file)
--- a/calculator.h
+++ b/calculator.h
@@ -47,14 +47,18 @@ class VecCalc
 {
        // The methods seen in the order here is how they are ordered throughout the class.
        public:
+               VecCalc(){};
                void printElements(vector<double>); //This prints the values of the vector on one line with a space between each value.
                void printElements(vector<string>); //This prints the values of the vector on one line with a space between each value.
                int findString(vector<string>, string);//This returns the index of the given string in the given <string> vector, if the string does not exist in the vector it returns -1.
                double mean(vector<double>); //This returns the mean value of the vector.
                double stError(vector<double>); //This returns the standard error of the vector.
+               int sumElements(vector<int>, int);
+               int sumElements(vector<int>);
                double sumElements(vector<double>); //This returns the sum of all the values in the vector.
                double sumElements(vector<double>, int); //This returns the sum of all the values in the vector excluding those whose index is before the given index.  
                double findMax(vector<double>); //This returns the maximum value in the vector.
+               int numNZ(vector<int>); //This returns the number of non-zero values in the vector.
                double numNZ(vector<double>); //This returns the number of non-zero values in the vector.
                double numPos(vector<double>); //This returns the number of positive values in the vector.
                double findMaxDiff(vector<double>, vector<double>); //This returns the absolute value of the maximum difference between the two vectors.
@@ -86,7 +90,7 @@ each combination. It also calculates the overall diversity for Whittaker's measu
 the Marczewski-Steinhaus distance.*/
 
 
-class BDiversity
+/*class BDiversity
 {
        public:
                void doBD(vector<double>, double);//Main method
@@ -95,7 +99,7 @@ class BDiversity
                double getSor(vector<double>, vector<double>);//Sorensen quantitative index
                double getMor(vector<double>, vector<double>);//Morisita-Horn index
                void printD(vector<vector<double> >, int);//This prints a table that represents the given 2D vector, the second paramter specifies which method is to be used (1 for Whitt, 2 for MS, 3 for Sor, and 4 for Mor)
-};
+};*/
 
 /**************************************************************************************************/
 
@@ -115,11 +119,11 @@ class BrokenStick
 It prints the D-Statistic and the critical values for the Kolmogorov-Smirnov
 1-sample test at the 95% confidence interval.*/
 
-class GeometricSeries
+/*class GeometricSeries
 {
        public:
                void doGeomTest(vector<double>);
-};
+};*/
 
 /**************************************************************************************************/
 //This Class calculates the jackknifed estimate of the data and
@@ -145,11 +149,11 @@ class KS2SampleTest
 It then generates a D-Statistic and prints the D-Statistic and
 the critical values for the Kolmogorov-Smirnov 1 sample test.*/
 
-class LogSD
+/*class LogSD
 {
        public:
                void doLogSD(vector<double>, vector<double>);
-};
+};*/
 
 /**************************************************************************************************/
 //This Class calculates and prints the Q-Statistic for the data.
@@ -175,6 +179,14 @@ class TDTable
                double getConfLimit(int,int);
 };
 
+/**************************************************************************************************/
+//This Class stores the table of the confidence limits of the One-Sample Kolmogorov-Smirnov Test.
+class KOSTable
+{
+       public:
+               double getConfLimit(int);
+};
+
 /**************************************************************************************************/
 /*This Class calculates the truncated lognormal for the data.
 It then prints the D-Statistic and the critical values for the