Hello!    SAS newbie here, so I hope someone can help me!   A little context:    I did an experiment where I attached nine acceloremeters to a blood turner. The acceloremeters detects movement and collects data every 60 second as 'Counts per minute' (CPM). The blood turner turned for 10 minutes. That means I have 10 measurements for each accelerometer (9 x 10 measurements in total). The rotation was constant and all the nine accelerometers were attached at the same time.    The aim of the experiment was to examine whether the accelerometers measures the same movement - maybe some kind of reliability test(?). Since the accelerometers were exposed to the same rotation my hypothesis is that there is no difference between the measurements. However, I am unsure about what is the right approach to this including which statistical test I should do?    To make a long story short: I want to examine if the different accelerometers are measuring the same when the exposure, the rotation, is the same.   I hope someone can help. I'm really desperate 🙂    Best regards Maria   My data:  Time accelerometer_ID CPM 00:01 1 23871,13 00:02 1 24357,09 00:03 1 23883,17 00:04 1 23843,27 00:05 1 23810,54 00:06 1 23824,35 00:07 1 23827,39 00:08 1 23819,94 00:09 1 23827,7 00:10 1 23834,48 00:01 2 23482,77 00:02 2 23323,05 00:03 2 23514,34 00:04 2 23507,99 00:05 2 23520,11 00:06 2 23495,93 00:07 2 23482,15 00:08 2 23501,74 00:09 2 23487,59 00:10 2 23309,01 00:01 3 24367,35 00:02 3 25030,93 00:03 3 23924,86 00:04 3 23824,59 00:05 3 23805,19 00:06 3 23789,9 00:07 3 23800,91 00:08 3 23782,73 00:09 3 23798,33 00:10 3 23833,54 00:01 4 23788,85 00:02 4 23621,23 00:03 4 23759,49 00:04 4 23810,91 00:05 4 23821,34 00:06 4 23800,15 00:07 4 23802,32 00:08 4 23820,26 00:09 4 23794,8 00:10 4 23808,73 00:01 5 23523,54 00:02 5 23563 00:03 5 23471,06 00:04 5 23504,21 00:05 5 23503,65 00:06 5 23521,73 00:07 5 23506,33 00:08 5 23491,45 00:09 5 23524,15 00:10 5 23523,19 00:01 6 23501,65 00:02 6 23612,43 00:03 6 23531,49 00:04 6 23567,37 00:05 6 23592,66 00:06 6 23587,56 00:07 6 23569,51 00:08 6 23577,08 00:09 6 23569,36 00:10 6 23565,01 00:01 7 23668,53 00:02 7 24571,37 00:03 7 23833,24 00:04 7 23755,22 00:05 7 23765,99 00:06 7 23740,07 00:07 7 23724,57 00:08 7 23760,98 00:09 7 23727,77 00:10 7 23740,25 00:01 8 23789,84 00:02 8 24796,97 00:03 8 23912,49 00:04 8 23818,4 00:05 8 23820,1 00:06 8 23822,9 00:07 8 23804,95 00:08 8 23807,48 00:09 8 23830,52 00:10 8 23806,69 00:01 9 24538,05 00:02 9 26018,59 00:03 9 24001,34 00:04 9 23740,09 00:05 9 23735,53 00:06 9 23679,07 00:07 9 23726,67 00:08 9 23695,23 00:09 9 23701,06 00:10 9 23543,47 ... View more