N
NDBC
I have a row of lap times which represents the lap times of the two
competitors in a team. The competitors do not have to do alternative laps.
Either of the two riders can do any lap in random order. My aim is to
identify which rider did each lap and then give an average lap time for each
rider based on the laps they completed.
Each rider in the team is identified by an indivual tag that is scanned on
the completion of each lap so it is easy to identify which rider did each lap.
This is my thoughts on how to do it. Using code I was going to record the
lap times of rider1 in say blue font and the lap times of rider 2 in red
font. This immediately gives a visual cue to the riders who did what laps.
Then I was going to count and add the cells of each font colour to calculate
the average.
Based on my searches of this forum I think this could be done but can anyone
think of an easier way.
Below is an example of a typical team result setout where Av is the average
and R1 represents a lap time by rider 1 and R2 by rider2.
R1Av R2Av R1 R1 R2 R1 R1 R1
R2 R1 R2
competitors in a team. The competitors do not have to do alternative laps.
Either of the two riders can do any lap in random order. My aim is to
identify which rider did each lap and then give an average lap time for each
rider based on the laps they completed.
Each rider in the team is identified by an indivual tag that is scanned on
the completion of each lap so it is easy to identify which rider did each lap.
This is my thoughts on how to do it. Using code I was going to record the
lap times of rider1 in say blue font and the lap times of rider 2 in red
font. This immediately gives a visual cue to the riders who did what laps.
Then I was going to count and add the cells of each font colour to calculate
the average.
Based on my searches of this forum I think this could be done but can anyone
think of an easier way.
Below is an example of a typical team result setout where Av is the average
and R1 represents a lap time by rider 1 and R2 by rider2.
R1Av R2Av R1 R1 R2 R1 R1 R1
R2 R1 R2