Frequencies for irayrx variable in fmli132 dataset : irayrx | Freq. Percent Cum. ------------+----------------------------------- 0 | 703 10.40 10.40 1 | 1 0.01 10.41 4 | 1 0.01 10.43 10 | 1 0.01 10.44 70 | 1 0.01 10.46 300 | 1 0.01 10.47 500 | 2 0.03 10.50 663 | 1 0.01 10.51 750 | 1 0.01 10.53 800 | 1 0.01 10.54 850 | 1 0.01 10.56 1000 | 5 0.07 10.63 1200 | 1 0.01 10.65 1300 | 1 0.01 10.66 1400 | 1 0.01 10.68 1500 | 1 0.01 10.69 1700 | 1 0.01 10.71 1800 | 1 0.01 10.72 1952 | 1 0.01 10.74 2000 | 6 0.09 10.83 2300 | 1 0.01 10.84 2340 | 1 0.01 10.85 2481 | 1 0.01 10.87 2500 | 3 0.04 10.91 3000 | 4 0.06 10.97 4000 | 2 0.03 11.00 4500 | 1 0.01 11.02 5000 | 14 0.21 11.22 5500 | 1 0.01 11.24 6000 | 2 0.03 11.27 6400 | 1 0.01 11.28 6500 | 1 0.01 11.30 7000 | 3 0.04 11.34 8000 | 8 0.12 11.46 10000 | 10 0.15 11.61 12000 | 6 0.09 11.70 12069 | 1 0.01 11.71 13000 | 1 0.01 11.73 14000 | 1 0.01 11.74 15000 | 13 0.19 11.93 17000 | 3 0.04 11.98 17500 | 1 0.01 11.99 18000 | 3 0.04 12.04 20000 | 7 0.10 12.14 21000 | 1 0.01 12.16 22000 | 2 0.03 12.19 22231 | 1 0.01 12.20 23000 | 1 0.01 12.22 23500 | 1 0.01 12.23 24000 | 1 0.01 12.24 25000 | 3 0.04 12.29 27000 | 2 0.03 12.32 28760 | 1 0.01 12.33 29000 | 1 0.01 12.35 29500 | 1 0.01 12.36 30000 | 6 0.09 12.45 32000 | 2 0.03 12.48 33000 | 3 0.04 12.53 34000 | 2 0.03 12.56 35000 | 3 0.04 12.60 36000 | 2 0.03 12.63 38000 | 2 0.03 12.66 40000 | 5 0.07 12.73 41000 | 1 0.01 12.75 43000 | 1 0.01 12.76 45000 | 3 0.04 12.81 45500 | 1 0.01 12.82 49050 | 1 0.01 12.84 50000 | 11 0.16 13.00 51600 | 1 0.01 13.01 52000 | 2 0.03 13.04 54000 | 1 0.01 13.06 55000 | 3 0.04 13.10 57000 | 1 0.01 13.12 58000 | 1 0.01 13.13 60000 | 3 0.04 13.18 62000 | 1 0.01 13.19 63000 | 1 0.01 13.21 64000 | 1 0.01 13.22 65000 | 2 0.03 13.25 70000 | 2 0.03 13.28 73000 | 2 0.03 13.31 73500 | 1 0.01 13.32 75000 | 10 0.15 13.47 76000 | 1 0.01 13.49 77000 | 1 0.01 13.50 79000 | 1 0.01 13.52 80000 | 4 0.06 13.58 81000 | 1 0.01 13.59 83000 | 2 0.03 13.62 84000 | 1 0.01 13.64 85000 | 1 0.01 13.65 89000 | 1 0.01 13.66 89455 | 1 0.01 13.68 90000 | 5 0.07 13.75 92000 | 1 0.01 13.77 95000 | 2 0.03 13.80 97000 | 1 0.01 13.81 98000 | 2 0.03 13.84 99000 | 1 0.01 13.86 100000 | 4 0.06 13.92 110000 | 3 0.04 13.96 113000 | 1 0.01 13.98 118000 | 1 0.01 13.99 120000 | 4 0.06 14.05 124000 | 1 0.01 14.06 125000 | 2 0.03 14.09 126000 | 1 0.01 14.11 130000 | 1 0.01 14.12 135000 | 1 0.01 14.14 140000 | 5 0.07 14.21 141000 | 1 0.01 14.23 145000 | 1 0.01 14.24 148000 | 1 0.01 14.26 150000 | 8 0.12 14.37 160000 | 3 0.04 14.42 165000 | 1 0.01 14.43 174000 | 2 0.03 14.46 175000 | 2 0.03 14.49 180000 | 1 0.01 14.51 181000 | 1 0.01 14.52 183450 | 1 0.01 14.54 187000 | 1 0.01 14.55 189331 | 1 0.01 14.57 190000 | 3 0.04 14.61 200000 | 5 0.07 14.69 203000 | 1 0.01 14.70 205000 | 1 0.01 14.71 207000 | 1 0.01 14.73 215000 | 1 0.01 14.74 220000 | 3 0.04 14.79 222000 | 1 0.01 14.80 225000 | 1 0.01 14.82 235000 | 1 0.01 14.83 240000 | 3 0.04 14.88 242000 | 1 0.01 14.89 250000 | 7 0.10 15.00 260000 | 1 0.01 15.01 266500 | 1 0.01 15.03 277000 | 1 0.01 15.04 280000 | 2 0.03 15.07 283000 | 1 0.01 15.08 290000 | 4 0.06 15.14 295000 | 1 0.01 15.16 299000 | 1 0.01 15.17 300000 | 7 0.10 15.28 312000 | 1 0.01 15.29 315000 | 1 0.01 15.31 320000 | 1 0.01 15.32 329400 | 1 0.01 15.34 330000 | 1 0.01 15.35 348000 | 1 0.01 15.37 350000 | 1 0.01 15.38 360000 | 2 0.03 15.41 375000 | 2 0.03 15.44 380000 | 1 0.01 15.45 385000 | 1 0.01 15.47 400000 | 2 0.03 15.50 405000 | 2 0.03 15.53 420000 | 1 0.01 15.54 430000 | 1 0.01 15.56 434356 | 1 0.01 15.57 435000 | 1 0.01 15.59 450000 | 3 0.04 15.63 460000 | 1 0.01 15.65 480000 | 1 0.01 15.66 490000 | 3 0.04 15.71 493000 | 1 0.01 15.72 500000 | 6 0.09 15.81 520000 | 1 0.01 15.82 530000 | 1 0.01 15.84 540000 | 2 0.03 15.87 550000 | 1 0.01 15.88 650000 | 1 0.01 15.90 700000 | 2 0.03 15.93 750000 | 1 0.01 15.94 800000 | 3 0.04 15.99 2128736 | 9 0.13 16.12 . | 5,672 83.88 100.00 ------------+----------------------------------- Total | 6,762 100.00 by Jean Roth , jroth@nber.org , 17 Mar 2016