- original sample size: 11401
- after selecting those with >= 15 trials: 11345
- remove fast/slow RTs: `dt2[rt >= 0.15 & rt <= 30]`
- remove outlier trials within each subject with `outliersMAD(x, 3)`
- after selecting those with >= 15 trials: **10743**
```r
> subjs[, .N, keyby = .(studyOrig, fold, condition)]
studyOrig fold condition N
1: Arechar Pilot 0 0 47
2: Arechar Pilot 0 1 49
3: Arechar Pilot 0 4 51
4: Arechar Pilot 1 0 188
5: Arechar Pilot 1 1 200
6: Arechar Pilot 1 4 206
7: Epstein HKS 0 0 73
8: Epstein HKS 0 1 73
9: Epstein HKS 0 3 76
10: Epstein HKS 1 0 296
11: Epstein HKS 1 1 296
12: Epstein HKS 1 3 307
13: Pennycook Nature S3 0 0 114
14: Pennycook Nature S3 0 1 115
15: Pennycook Nature S3 1 0 459
16: Pennycook Nature S3 1 1 461
17: Pennycook Nature S4 0 0 122
18: Pennycook Nature S4 0 1 124
19: Pennycook Nature S4 1 0 491
20: Pennycook Nature S4 1 1 498
21: Pennycook Nature S5 0 0 118
22: Pennycook Nature S5 0 1 59
23: Pennycook Nature S5 0 2 56
24: Pennycook Nature S5 1 0 472
25: Pennycook Nature S5 1 1 240
26: Pennycook Nature S5 1 2 227
27: Reset S1 0 0 37
28: Reset S1 0 2 38
29: Reset S1 0 6 39
30: Reset S1 0 12 38
31: Reset S1 0 15 38
32: Reset S1 1 0 152
33: Reset S1 1 2 156
34: Reset S1 1 6 156
35: Reset S1 1 12 153
36: Reset S1 1 15 156
37: Reset S2 0 0 39
38: Reset S2 0 3 40
39: Reset S2 0 11 36
40: Reset S2 0 12 36
41: Reset S2 0 13 40
42: Reset S2 0 14 36
43: Reset S2 1 0 156
44: Reset S2 1 3 164
45: Reset S2 1 11 144
46: Reset S2 1 12 148
47: Reset S2 1 13 163
48: Reset S2 1 14 146
49: Reset S3 0 0 33
50: Reset S3 0 8 69
51: Reset S3 0 14 34
52: Reset S3 0 16 70
53: Reset S3 1 0 136
54: Reset S3 1 8 276
55: Reset S3 1 14 137
56: Reset S3 1 16 281
57: Reset S4 0 0 72
58: Reset S4 0 1 363
59: Reset S4 1 0 290
60: Reset S4 1 1 1453
studyOrig fold condition N
```