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Dependencies: QEI2 chair_BNO055 PID Watchdog VL53L1X_Filter ros_lib_kinetic
Dependents: wheelchairControlSumer19 Version1-0
Statistics/statistics.cpp
- Committer:
- t1jain
- Date:
- 2019-07-01
- Revision:
- 31:06f2362caf12
- Parent:
- 30:c25b2556e84d
File content as of revision 31:06f2362caf12:
#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); }