Hello I am currently working on a program that will take the values from a .csv file containing multiple data and analyzing them. The file can be found here: https://docs.google.com/file/d/0BzuDEPd26OcheVhiWl
Z3STlZU0k/edit?usp=sharing The data in question starts in row 11 and is in the first 4 columns. In my program I have labeled these: rvar, ivar1, ivar2, ivar3. Rvar is the value corresponding to a time value in microseconds after start of recording whereas ivar1,ivar2,and ivar3 correspond to the value of the acceleration at that point. I have already calculated the average value of each of these columns.
My question is- how do I find the maximum value for ivar1, ivar2 and ivar3 (separately)?
My current code is below:
My question is- how do I find the maximum value for ivar1, ivar2 and ivar3 (separately)?
My current code is below:
program WSUPhys_csv implicit none integer :: stat, num_lines, ivar1, ivar2, ivar3 real :: rvar character*80 :: line write(*,*) "Reading file..." ! open input file open(10,file='DATA-002.csv',status='old',iostat=stat) if (stat .ne. 0) then write(*,*) 'File cannot be opened !' go to 99 end if num_lines = 0 do read(10,'(A)',end=99, iostat=stat) line if (stat .ne. 0) then write(*,*) 'Error reading data !' go to 99 end if ! skip comment/header lines beginning with ";" if (adjustl(trim(line(1:1))) .eq. ';') then cycle end if ! read string line into numeric variables read(line,*) rvar, ivar1, ivar2, ivar3 num_lines = num_lines + 1 if (num_lines <= 10) then write(*,*) num_lines, ':', rvar, ivar1, ivar2, ivar3 end if Sum_ivar1 = Sum_ivar1 + ABS(ivar1) Sum_ivar2 = Sum_ivar2 + ABS(ivar2) Sum_ivar3 = Sum_ivar3 + ABS(ivar3) Max end do ! close file 99 continue Avg_ivar1 = (Sum_ivar1 / num_lines) Avg_ivar2 = (Sum_ivar2 / num_lines) Avg_ivar3 = (Sum_ivar3 / num_lines) close (10) ! write(*,*) '...done.' write(*,*) 'Lines processed: ', num_lines write(*,*) 'Average vertical acceleration', Avg_ivar1/1000 write(*,*) 'Average sideways acceleration', Avg_ivar2/1000 write(*,*) 'Average forwards acceleration', Avg_ivar3/1000 end program WSUPhys_csv