Closed tjmahr closed 8 years ago
Cases where the DIRT score does not match participant info score.
#> Site Study ParticipantID FS_Score_Dirt FS_Score_Info diff #> (chr) (chr) (chr) (dbl) (dbl) (dbl) #> 1 UW TimePoint1 057L 2.78 2.11 0.67 #> 2 UW TimePoint1 058L 2.11 2.78 0.67 #> 3 UW TimePoint1 006L 1.20 1.22 0.02 #> 4 UMN TimePoint1 612L 1.11 1.10 0.01 #> 5 UMN TimePoint1 616L 1.78 1.77 0.01 #> 6 UMN TimePoint1 657L 1.88 1.89 0.01 #> 7 UW TimePoint1 046L 2.10 2.11 0.01
Two obviously switched entries.
What are possible scores on the task? Are scores to the nearest ninth? Looking at unique values in each set of scores, that seems to be the case, expect for some x/10 fractions. How can 2.40 happen?
$FS_Score_Info [1] 0.55 0.77 0.89 1.00 1.10 1.11 1.22 1.33 1.44 1.45 1.56 1.67 1.77 [14] 1.78 1.89 2.00 2.11 2.22 2.33 2.40 2.44 2.56 2.67 2.77 2.78 2.80 [27] 2.89 3.00 $FS_Score_Dirt [1] 0.55 0.77 0.89 1.00 1.11 1.20 1.22 1.33 1.44 1.45 1.56 1.67 1.78 [14] 1.88 1.89 2.00 2.10 2.11 2.22 2.33 2.40 2.44 2.56 2.67 2.77 2.78 [27] 2.80 2.89 3.00
superseded by #22
Cases where the DIRT score does not match participant info score.
Two obviously switched entries.
What are possible scores on the task? Are scores to the nearest ninth? Looking at unique values in each set of scores, that seems to be the case, expect for some x/10 fractions. How can 2.40 happen?