Diff: Statistics/Statistics.cpp

Revision:

35:5a2fed4c2e9f

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/Statistics/Statistics.cpp	Tue Jul 09 21:18:01 2019 +0000
@@ -0,0 +1,54 @@
+
+#include "Statistics.h"
+#include "mbed.h"
+
+    /**************************************************************************
+     * This function initializes the private members of the class Statistics  *
+     **************************************************************************/
+    Statistics::Statistics(int* Input, double dataLengthIn, int firstDataPointIn){
+        data = Input;
+        dataLength = dataLengthIn;
+        firstDataPoint = firstDataPointIn;
+        }
+        
+    /**************************************************************************
+     * This function returns the mean(average) of an array.                   *
+     **************************************************************************/
+    double Statistics::mean(){
+        double sum;
+        for(int i = firstDataPoint; i < (firstDataPoint + dataLength); ++i)
+        {
+            sum += data[i];
+        }
+        //printf("sum %f, data length %f\r\n", sum, dataLength);
+        wait(.001);
+        double average = sum/dataLength;
+        return average;
+    }
+    
+    /**************************************************************************
+     * This function returns the standard deviation of an array. This is      *
+     * used to determine whether the data is valid or not.                    *
+     **************************************************************************/
+    double Statistics::stdev(){
+        double sum = 0.0, mean, standardDeviation = 0.0;
+        //printf("The length of the array is %d\n", dataLength);
+        //double num = (pow(2.0,2.0));
+        //printf("2^2 is %f\n", num);
+        //int i;
+
+        for(int i = firstDataPoint; i < (firstDataPoint + dataLength); ++i)
+        {
+            sum += data[i];
+            //printf("%d\n", data[i]);
+        }
+    
+        mean = sum/dataLength;
+    
+        for(int i = firstDataPoint; i < (firstDataPoint + dataLength); ++i) {
+            //standardDeviation += pow(data[i] - mean, 2);
+            standardDeviation += (data[i] - mean)*(data[i] - mean);
+            }
+    
+        return sqrt(standardDeviation / dataLength);
+    }
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