Frequencies for acc_aux dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Frequencies for year variable in acc_aux dataset : year | Freq. Percent Cum. ------------+----------------------------------- 2005 | 437 100.00 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for state variable in acc_aux dataset : state | Freq. Percent Cum. ------------+----------------------------------- 43 | 437 100.00 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for county variable in acc_aux dataset : county | Freq. Percent Cum. ------------+----------------------------------- 72 | 437 100.00 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for fatals variable in acc_aux dataset : fatalities | Freq. Percent Cum. ------------+----------------------------------- 1 | 419 95.88 95.88 2 | 17 3.89 99.77 4 | 1 0.23 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for st_case variable in acc_aux dataset : st_case | Freq. Percent Cum. ------------+----------------------------------- 430001 | 1 0.23 0.23 430002 | 1 0.23 0.46 430003 | 1 0.23 0.69 430004 | 1 0.23 0.92 430005 | 1 0.23 1.14 430006 | 1 0.23 1.37 430007 | 1 0.23 1.60 430008 | 1 0.23 1.83 430009 | 1 0.23 2.06 430010 | 1 0.23 2.29 430011 | 1 0.23 2.52 430012 | 1 0.23 2.75 430013 | 1 0.23 2.97 430014 | 1 0.23 3.20 430015 | 1 0.23 3.43 430016 | 1 0.23 3.66 430017 | 1 0.23 3.89 430018 | 1 0.23 4.12 430019 | 1 0.23 4.35 430020 | 1 0.23 4.58 430021 | 1 0.23 4.81 430022 | 1 0.23 5.03 430023 | 1 0.23 5.26 430024 | 1 0.23 5.49 430025 | 1 0.23 5.72 430026 | 1 0.23 5.95 430027 | 1 0.23 6.18 430028 | 1 0.23 6.41 430029 | 1 0.23 6.64 430030 | 1 0.23 6.86 430031 | 1 0.23 7.09 430032 | 1 0.23 7.32 430033 | 1 0.23 7.55 430034 | 1 0.23 7.78 430035 | 1 0.23 8.01 430036 | 1 0.23 8.24 430037 | 1 0.23 8.47 430038 | 1 0.23 8.70 430039 | 1 0.23 8.92 430040 | 1 0.23 9.15 430041 | 1 0.23 9.38 430042 | 1 0.23 9.61 430043 | 1 0.23 9.84 430044 | 1 0.23 10.07 430045 | 1 0.23 10.30 430046 | 1 0.23 10.53 430047 | 1 0.23 10.76 430048 | 1 0.23 10.98 430049 | 1 0.23 11.21 430050 | 1 0.23 11.44 430051 | 1 0.23 11.67 430052 | 1 0.23 11.90 430053 | 1 0.23 12.13 430054 | 1 0.23 12.36 430055 | 1 0.23 12.59 430056 | 1 0.23 12.81 430057 | 1 0.23 13.04 430058 | 1 0.23 13.27 430059 | 1 0.23 13.50 430060 | 1 0.23 13.73 430061 | 1 0.23 13.96 430062 | 1 0.23 14.19 430063 | 1 0.23 14.42 430064 | 1 0.23 14.65 430065 | 1 0.23 14.87 430066 | 1 0.23 15.10 430067 | 1 0.23 15.33 430068 | 1 0.23 15.56 430069 | 1 0.23 15.79 430070 | 1 0.23 16.02 430071 | 1 0.23 16.25 430072 | 1 0.23 16.48 430073 | 1 0.23 16.70 430074 | 1 0.23 16.93 430075 | 1 0.23 17.16 430076 | 1 0.23 17.39 430077 | 1 0.23 17.62 430078 | 1 0.23 17.85 430079 | 1 0.23 18.08 430080 | 1 0.23 18.31 430081 | 1 0.23 18.54 430082 | 1 0.23 18.76 430083 | 1 0.23 18.99 430084 | 1 0.23 19.22 430085 | 1 0.23 19.45 430086 | 1 0.23 19.68 430087 | 1 0.23 19.91 430088 | 1 0.23 20.14 430089 | 1 0.23 20.37 430090 | 1 0.23 20.59 430091 | 1 0.23 20.82 430092 | 1 0.23 21.05 430093 | 1 0.23 21.28 430094 | 1 0.23 21.51 430095 | 1 0.23 21.74 430096 | 1 0.23 21.97 430097 | 1 0.23 22.20 430098 | 1 0.23 22.43 430099 | 1 0.23 22.65 430100 | 1 0.23 22.88 430101 | 1 0.23 23.11 430102 | 1 0.23 23.34 430103 | 1 0.23 23.57 430104 | 1 0.23 23.80 430105 | 1 0.23 24.03 430106 | 1 0.23 24.26 430107 | 1 0.23 24.49 430108 | 1 0.23 24.71 430109 | 1 0.23 24.94 430110 | 1 0.23 25.17 430111 | 1 0.23 25.40 430112 | 1 0.23 25.63 430113 | 1 0.23 25.86 430114 | 1 0.23 26.09 430115 | 1 0.23 26.32 430116 | 1 0.23 26.54 430117 | 1 0.23 26.77 430118 | 1 0.23 27.00 430119 | 1 0.23 27.23 430120 | 1 0.23 27.46 430121 | 1 0.23 27.69 430122 | 1 0.23 27.92 430123 | 1 0.23 28.15 430124 | 1 0.23 28.38 430125 | 1 0.23 28.60 430126 | 1 0.23 28.83 430127 | 1 0.23 29.06 430128 | 1 0.23 29.29 430129 | 1 0.23 29.52 430130 | 1 0.23 29.75 430131 | 1 0.23 29.98 430132 | 1 0.23 30.21 430133 | 1 0.23 30.43 430134 | 1 0.23 30.66 430135 | 1 0.23 30.89 430136 | 1 0.23 31.12 430137 | 1 0.23 31.35 430138 | 1 0.23 31.58 430139 | 1 0.23 31.81 430140 | 1 0.23 32.04 430141 | 1 0.23 32.27 430142 | 1 0.23 32.49 430143 | 1 0.23 32.72 430144 | 1 0.23 32.95 430145 | 1 0.23 33.18 430146 | 1 0.23 33.41 430147 | 1 0.23 33.64 430148 | 1 0.23 33.87 430149 | 1 0.23 34.10 430150 | 1 0.23 34.32 430151 | 1 0.23 34.55 430152 | 1 0.23 34.78 430153 | 1 0.23 35.01 430154 | 1 0.23 35.24 430155 | 1 0.23 35.47 430156 | 1 0.23 35.70 430157 | 1 0.23 35.93 430158 | 1 0.23 36.16 430159 | 1 0.23 36.38 430160 | 1 0.23 36.61 430161 | 1 0.23 36.84 430162 | 1 0.23 37.07 430163 | 1 0.23 37.30 430164 | 1 0.23 37.53 430165 | 1 0.23 37.76 430166 | 1 0.23 37.99 430167 | 1 0.23 38.22 430168 | 1 0.23 38.44 430169 | 1 0.23 38.67 430170 | 1 0.23 38.90 430171 | 1 0.23 39.13 430172 | 1 0.23 39.36 430173 | 1 0.23 39.59 430174 | 1 0.23 39.82 430175 | 1 0.23 40.05 430176 | 1 0.23 40.27 430177 | 1 0.23 40.50 430178 | 1 0.23 40.73 430179 | 1 0.23 40.96 430180 | 1 0.23 41.19 430181 | 1 0.23 41.42 430182 | 1 0.23 41.65 430183 | 1 0.23 41.88 430184 | 1 0.23 42.11 430185 | 1 0.23 42.33 430186 | 1 0.23 42.56 430187 | 1 0.23 42.79 430188 | 1 0.23 43.02 430189 | 1 0.23 43.25 430190 | 1 0.23 43.48 430191 | 1 0.23 43.71 430192 | 1 0.23 43.94 430193 | 1 0.23 44.16 430194 | 1 0.23 44.39 430195 | 1 0.23 44.62 430196 | 1 0.23 44.85 430197 | 1 0.23 45.08 430198 | 1 0.23 45.31 430199 | 1 0.23 45.54 430200 | 1 0.23 45.77 430201 | 1 0.23 46.00 430202 | 1 0.23 46.22 430203 | 1 0.23 46.45 430204 | 1 0.23 46.68 430205 | 1 0.23 46.91 430206 | 1 0.23 47.14 430207 | 1 0.23 47.37 430208 | 1 0.23 47.60 430209 | 1 0.23 47.83 430210 | 1 0.23 48.05 430211 | 1 0.23 48.28 430212 | 1 0.23 48.51 430213 | 1 0.23 48.74 430214 | 1 0.23 48.97 430215 | 1 0.23 49.20 430216 | 1 0.23 49.43 430217 | 1 0.23 49.66 430218 | 1 0.23 49.89 430219 | 1 0.23 50.11 430220 | 1 0.23 50.34 430221 | 1 0.23 50.57 430222 | 1 0.23 50.80 430223 | 1 0.23 51.03 430224 | 1 0.23 51.26 430225 | 1 0.23 51.49 430226 | 1 0.23 51.72 430227 | 1 0.23 51.95 430228 | 1 0.23 52.17 430229 | 1 0.23 52.40 430230 | 1 0.23 52.63 430231 | 1 0.23 52.86 430232 | 1 0.23 53.09 430233 | 1 0.23 53.32 430234 | 1 0.23 53.55 430235 | 1 0.23 53.78 430236 | 1 0.23 54.00 430237 | 1 0.23 54.23 430238 | 1 0.23 54.46 430239 | 1 0.23 54.69 430240 | 1 0.23 54.92 430241 | 1 0.23 55.15 430242 | 1 0.23 55.38 430243 | 1 0.23 55.61 430244 | 1 0.23 55.84 430245 | 1 0.23 56.06 430246 | 1 0.23 56.29 430247 | 1 0.23 56.52 430248 | 1 0.23 56.75 430249 | 1 0.23 56.98 430250 | 1 0.23 57.21 430251 | 1 0.23 57.44 430252 | 1 0.23 57.67 430253 | 1 0.23 57.89 430254 | 1 0.23 58.12 430255 | 1 0.23 58.35 430256 | 1 0.23 58.58 430257 | 1 0.23 58.81 430258 | 1 0.23 59.04 430259 | 1 0.23 59.27 430260 | 1 0.23 59.50 430261 | 1 0.23 59.73 430262 | 1 0.23 59.95 430263 | 1 0.23 60.18 430264 | 1 0.23 60.41 430265 | 1 0.23 60.64 430266 | 1 0.23 60.87 430267 | 1 0.23 61.10 430268 | 1 0.23 61.33 430269 | 1 0.23 61.56 430270 | 1 0.23 61.78 430271 | 1 0.23 62.01 430272 | 1 0.23 62.24 430273 | 1 0.23 62.47 430274 | 1 0.23 62.70 430275 | 1 0.23 62.93 430276 | 1 0.23 63.16 430277 | 1 0.23 63.39 430278 | 1 0.23 63.62 430279 | 1 0.23 63.84 430280 | 1 0.23 64.07 430281 | 1 0.23 64.30 430282 | 1 0.23 64.53 430283 | 1 0.23 64.76 430284 | 1 0.23 64.99 430285 | 1 0.23 65.22 430286 | 1 0.23 65.45 430287 | 1 0.23 65.68 430288 | 1 0.23 65.90 430289 | 1 0.23 66.13 430290 | 1 0.23 66.36 430291 | 1 0.23 66.59 430292 | 1 0.23 66.82 430293 | 1 0.23 67.05 430294 | 1 0.23 67.28 430295 | 1 0.23 67.51 430296 | 1 0.23 67.73 430297 | 1 0.23 67.96 430298 | 1 0.23 68.19 430299 | 1 0.23 68.42 430300 | 1 0.23 68.65 430301 | 1 0.23 68.88 430302 | 1 0.23 69.11 430303 | 1 0.23 69.34 430304 | 1 0.23 69.57 430305 | 1 0.23 69.79 430306 | 1 0.23 70.02 430307 | 1 0.23 70.25 430308 | 1 0.23 70.48 430309 | 1 0.23 70.71 430310 | 1 0.23 70.94 430311 | 1 0.23 71.17 430312 | 1 0.23 71.40 430313 | 1 0.23 71.62 430314 | 1 0.23 71.85 430315 | 1 0.23 72.08 430316 | 1 0.23 72.31 430317 | 1 0.23 72.54 430318 | 1 0.23 72.77 430319 | 1 0.23 73.00 430320 | 1 0.23 73.23 430321 | 1 0.23 73.46 430322 | 1 0.23 73.68 430323 | 1 0.23 73.91 430324 | 1 0.23 74.14 430325 | 1 0.23 74.37 430326 | 1 0.23 74.60 430327 | 1 0.23 74.83 430328 | 1 0.23 75.06 430329 | 1 0.23 75.29 430330 | 1 0.23 75.51 430331 | 1 0.23 75.74 430332 | 1 0.23 75.97 430333 | 1 0.23 76.20 430334 | 1 0.23 76.43 430335 | 1 0.23 76.66 430336 | 1 0.23 76.89 430337 | 1 0.23 77.12 430338 | 1 0.23 77.35 430339 | 1 0.23 77.57 430340 | 1 0.23 77.80 430341 | 1 0.23 78.03 430342 | 1 0.23 78.26 430343 | 1 0.23 78.49 430344 | 1 0.23 78.72 430345 | 1 0.23 78.95 430346 | 1 0.23 79.18 430347 | 1 0.23 79.41 430348 | 1 0.23 79.63 430349 | 1 0.23 79.86 430350 | 1 0.23 80.09 430351 | 1 0.23 80.32 430352 | 1 0.23 80.55 430353 | 1 0.23 80.78 430354 | 1 0.23 81.01 430355 | 1 0.23 81.24 430356 | 1 0.23 81.46 430357 | 1 0.23 81.69 430358 | 1 0.23 81.92 430359 | 1 0.23 82.15 430360 | 1 0.23 82.38 430361 | 1 0.23 82.61 430362 | 1 0.23 82.84 430363 | 1 0.23 83.07 430364 | 1 0.23 83.30 430365 | 1 0.23 83.52 430366 | 1 0.23 83.75 430367 | 1 0.23 83.98 430368 | 1 0.23 84.21 430369 | 1 0.23 84.44 430370 | 1 0.23 84.67 430371 | 1 0.23 84.90 430372 | 1 0.23 85.13 430373 | 1 0.23 85.35 430374 | 1 0.23 85.58 430375 | 1 0.23 85.81 430376 | 1 0.23 86.04 430377 | 1 0.23 86.27 430378 | 1 0.23 86.50 430379 | 1 0.23 86.73 430380 | 1 0.23 86.96 430381 | 1 0.23 87.19 430382 | 1 0.23 87.41 430383 | 1 0.23 87.64 430384 | 1 0.23 87.87 430385 | 1 0.23 88.10 430386 | 1 0.23 88.33 430387 | 1 0.23 88.56 430388 | 1 0.23 88.79 430389 | 1 0.23 89.02 430390 | 1 0.23 89.24 430391 | 1 0.23 89.47 430392 | 1 0.23 89.70 430393 | 1 0.23 89.93 430394 | 1 0.23 90.16 430395 | 1 0.23 90.39 430396 | 1 0.23 90.62 430397 | 1 0.23 90.85 430398 | 1 0.23 91.08 430399 | 1 0.23 91.30 430400 | 1 0.23 91.53 430401 | 1 0.23 91.76 430402 | 1 0.23 91.99 430403 | 1 0.23 92.22 430404 | 1 0.23 92.45 430405 | 1 0.23 92.68 430406 | 1 0.23 92.91 430407 | 1 0.23 93.14 430408 | 1 0.23 93.36 430409 | 1 0.23 93.59 430410 | 1 0.23 93.82 430411 | 1 0.23 94.05 430412 | 1 0.23 94.28 430413 | 1 0.23 94.51 430414 | 1 0.23 94.74 430415 | 1 0.23 94.97 430416 | 1 0.23 95.19 430417 | 1 0.23 95.42 430418 | 1 0.23 95.65 430419 | 1 0.23 95.88 430420 | 1 0.23 96.11 430421 | 1 0.23 96.34 430422 | 1 0.23 96.57 430423 | 1 0.23 96.80 430424 | 1 0.23 97.03 430425 | 1 0.23 97.25 430426 | 1 0.23 97.48 430427 | 1 0.23 97.71 430428 | 1 0.23 97.94 430429 | 1 0.23 98.17 430430 | 1 0.23 98.40 430431 | 1 0.23 98.63 430432 | 1 0.23 98.86 430433 | 1 0.23 99.08 430434 | 1 0.23 99.31 430435 | 1 0.23 99.54 430436 | 1 0.23 99.77 430437 | 1 0.23 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_crainj variable in acc_aux dataset : Crash | Injury Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 437 100.00 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_region variable in acc_aux dataset : NHTSA | Region | Freq. Percent Cum. ------------+----------------------------------- 2 | 437 100.00 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_ru variable in acc_aux dataset : Rural/Urban | Freq. Percent Cum. ------------+----------------------------------- 1 | 203 46.45 46.45 2 | 234 53.55 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_inter variable in acc_aux dataset : Interstate | Freq. Percent Cum. ------------+----------------------------------- 1 | 76 17.39 17.39 2 | 361 82.61 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_relrd variable in acc_aux dataset : Relationshi | p to the | Road | Freq. Percent Cum. ------------+----------------------------------- 1 | 262 59.95 59.95 2 | 13 2.97 62.93 3 | 20 4.58 67.51 4 | 142 32.49 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_intsec variable in acc_aux dataset : Intersectio | n | Freq. Percent Cum. ------------+----------------------------------- 1 | 9 2.06 2.06 2 | 428 97.94 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_roadfc variable in acc_aux dataset : Roadway | Function | Class | Freq. Percent Cum. ------------+----------------------------------- 1 | 76 17.39 17.39 2 | 14 3.20 20.59 3 | 90 20.59 41.19 4 | 102 23.34 64.53 5 | 105 24.03 88.56 6 | 50 11.44 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_junc variable in acc_aux dataset : Junction | Freq. Percent Cum. ------------+----------------------------------- 1 | 9 2.06 2.06 2 | 428 97.94 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_mancol variable in acc_aux dataset : Manner of | Collision | Freq. Percent Cum. ------------+----------------------------------- 1 | 300 68.65 68.65 2 | 22 5.03 73.68 3 | 41 9.38 83.07 4 | 45 10.30 93.36 5 | 28 6.41 99.77 6 | 1 0.23 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_tod variable in acc_aux dataset : Time of Day | Freq. Percent Cum. ------------+----------------------------------- 1 | 159 36.38 36.38 2 | 278 63.62 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_dow variable in acc_aux dataset : Day of Week | Freq. Percent Cum. ------------+----------------------------------- 1 | 223 51.03 51.03 2 | 214 48.97 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_hr variable in acc_aux dataset : Involving a | Hit and Run | Freq. Percent Cum. ------------+----------------------------------- 1 | 31 7.09 7.09 2 | 406 92.91 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_ct variable in acc_aux dataset : Crash Type | Freq. Percent Cum. ------------+----------------------------------- 1 | 298 68.19 68.19 2 | 116 26.54 94.74 3 | 23 5.26 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_lt variable in acc_aux dataset : Involving a | Large Truck | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 8.24 8.24 2 | 401 91.76 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_mc variable in acc_aux dataset : Involving a | Motorcycle | Freq. Percent Cum. ------------+----------------------------------- 1 | 87 19.91 19.91 2 | 350 80.09 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_spcra variable in acc_aux dataset : Involving | Speeding | Freq. Percent Cum. ------------+----------------------------------- 1 | 206 47.14 47.14 2 | 231 52.86 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_ped variable in acc_aux dataset : Involving a | Pedestrian | Freq. Percent Cum. ------------+----------------------------------- 1 | 134 30.66 30.66 2 | 303 69.34 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_pedal variable in acc_aux dataset : Involving a | Pedalcyclis | t | Freq. Percent Cum. ------------+----------------------------------- 1 | 11 2.52 2.52 2 | 426 97.48 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_roll variable in acc_aux dataset : Involving a | Rollover | Freq. Percent Cum. ------------+----------------------------------- 1 | 38 8.70 8.70 2 | 399 91.30 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_polpur variable in acc_aux dataset : Involving a | Police | Pursuit | Freq. Percent Cum. ------------+----------------------------------- 1 | 1 0.23 0.23 2 | 436 99.77 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_posbac variable in acc_aux dataset : Involving a | Driver With | Positive | BAC | Freq. Percent Cum. ------------+----------------------------------- 1 | 141 32.27 32.27 2 | 151 34.55 66.82 3 | 145 33.18 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d15_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 49 11.21 11.21 2 | 388 88.79 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d16_19 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-19) | Freq. Percent Cum. ------------+----------------------------------- 1 | 47 10.76 10.76 2 | 390 89.24 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d15_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 15-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 76 17.39 17.39 2 | 361 82.61 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d16_20 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-20) | Freq. Percent Cum. ------------+----------------------------------- 1 | 74 16.93 16.93 2 | 363 83.07 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d65pls variable in acc_aux dataset : Involving | an Older | Driver | (Aged 65+) | Freq. Percent Cum. ------------+----------------------------------- 1 | 36 8.24 8.24 2 | 401 91.76 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d21_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 21-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 84 19.22 19.22 2 | 353 80.78 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_d16_24 variable in acc_aux dataset : Involving a | Young | Driver | (Aged | 16-24) | Freq. Percent Cum. ------------+----------------------------------- 1 | 153 35.01 35.01 2 | 284 64.99 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_rd variable in acc_aux dataset : Involving a | Roadway | Departure | Freq. Percent Cum. ------------+----------------------------------- 1 | 138 31.58 31.58 2 | 299 68.42 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_dist variable in acc_aux dataset : Involving a | Distracted | Driver | Freq. Percent Cum. ------------+----------------------------------- 2 | 437 100.00 100.00 ------------+----------------------------------- Total | 437 100.00 Frequencies for a_drowsy variable in acc_aux dataset : Involving a | Drowsy | Driver | Freq. Percent Cum. ------------+----------------------------------- 1 | 3 0.69 0.69 2 | 434 99.31 100.00 ------------+----------------------------------- Total | 437 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016