suppressMessages(library(data.table))
suppressMessages(library(tidyverse))
suppressMessages(library(mice))
suppressMessages(library(naniar))## [1] 7672 169## [1] 51558 151dat1 <- mutate_all(dat1, as.character)
dat2 <- mutate_all(dat2, as.character)
# Select common variables
common_vars <- intersect(names(dat1), names(dat2))
# Select different variables from dat1
diff_vars_dat1 <- setdiff(names(dat1), common_vars)
# Select different variables from dat2
diff_vars_dat2 <- setdiff(names(dat2), common_vars)
# Create a new dataset with common and different variables
dat3 <- merge(dat1, dat2, by = common_vars, all = TRUE)
# Save dat3 with the code below
# write.csv(dat3, file = "~/Desktop/Dat3.csv", row.names = FALSE)# Calculate missing data
dat1 %>%
summarise_all(~sum(is.na(.))) %>%
gather(key = "Variable", value = "MissingCount") %>%
mutate(MissingPercentage = MissingCount / nrow(dat1) * 100) %>%
arrange(desc(MissingPercentage))## Variable MissingCount MissingPercentage
## 1 uwbc 7672 100.00000000
## 2 d_stk 7672 100.00000000
## 3 d_mi 7672 100.00000000
## 4 f_lost 7672 100.00000000
## 5 ph8 7671 99.98696559
## 6 dth_dur 7666 99.92179353
## 7 ph7 7666 99.92179353
## 8 ph6 7651 99.72627737
## 9 paf 7617 99.28310740
## 10 dth_mi 7606 99.13972888
## 11 ph5 7574 98.72262774
## 12 mi_area 7572 98.69655892
## 13 mine5 7569 98.65745568
## 14 af_day 7512 97.91449426
## 15 int_knd 7512 97.91449426
## 16 int_oped 7508 97.86235662
## 17 mine4 7449 97.09332638
## 18 ci_scale 7405 96.51981230
## 19 ci_type 7396 96.40250261
## 20 ci_area 7396 96.40250261
## 21 ph4 7368 96.03753910
## 22 mi_onset 7367 96.02450469
## 23 ct 7340 95.67257560
## 24 mri 7339 95.65954119
## 25 st_onset 7234 94.29092805
## 26 mine3 7116 92.75286757
## 27 tobsty 6991 91.12356621
## 28 cp_dur 6935 90.39363921
## 29 ph3 6858 89.38998957
## 30 tobyr 6449 84.05891554
## 31 ido_date 6138 80.00521376
## 32 inslin 5949 77.54171011
## 33 mine2 5908 77.00729927
## 34 seiri 5824 75.91240876
## 35 ph2 5819 75.84723670
## 36 death_d 5801 75.61261731
## 37 ldl 5543 72.24973931
## 38 vldl 5532 72.10636079
## 39 tobhon 5336 69.55161627
## 40 heikeiy 5126 66.81438999
## 41 hba1c 4930 64.25964546
## 42 memai 3846 50.13034411
## 43 nocturia 3846 50.13034411
## 44 cp_sleep 3844 50.10427529
## 45 alc_freq 3809 49.64807091
## 46 alcgou 3787 49.36131387
## 47 ph1 3750 48.87904067
## 48 heikei 3640 47.44525547
## 49 deth_moy 3490 45.49009385
## 50 deth_fay 2118 27.60688217
## 51 wt20 2038 26.56412930
## 52 icd_stk 1704 22.21063608
## 53 icd_ihd 1622 21.14181439
## 54 icd_cvd 1394 18.16996872
## 55 hako 1378 17.96141814
## 56 elbow 1376 17.93534932
## 57 bf 1122 14.62460897
## 58 icd_can 1115 14.53336809
## 59 unhappy 841 10.96193952
## 60 stress 805 10.49270073
## 61 satisf 793 10.33628780
## 62 drug 758 9.88008342
## 63 sleep 731 9.52815433
## 64 vital 721 9.39781022
## 65 social 721 9.39781022
## 66 arith2 719 9.37174140
## 67 dx_sd 711 9.26746611
## 68 dx_pmi 685 8.92857143
## 69 dx_sah 680 8.86339937
## 70 arith1 643 8.38112617
## 71 dx_ich 638 8.31595412
## 72 dx_mi 631 8.22471324
## 73 dx_int 605 7.88581856
## 74 scott 590 7.69030240
## 75 sheieht 579 7.54692388
## 76 sheieas 578 7.53388947
## 77 frct 479 6.24348279
## 78 bruit 477 6.21741397
## 79 dx_ci 441 5.74817518
## 80 alb 420 5.47445255
## 81 glb 420 5.47445255
## 82 dx_ihd 412 5.37017727
## 83 kaidan 388 5.05735141
## 84 exer 312 4.06673618
## 85 dx_st 279 3.63660063
## 86 tob 130 1.69447341
## 87 alc 121 1.57716371
## 88 dysphagia 78 1.01668405
## 89 uph 58 0.75599583
## 90 mahi 58 0.75599583
## 91 murmur 57 0.74296142
## 92 sft_kata 53 0.69082377
## 93 deth_mo 52 0.67778936
## 94 deth_fa 43 0.56047967
## 95 chestpain 41 0.53441084
## 96 hdl 35 0.45620438
## 97 rbc 27 0.35192909
## 98 wbc 26 0.33889468
## 99 hg 26 0.33889468
## 100 hct 26 0.33889468
## 101 pulse2 23 0.29979145
## 102 sft_ude 23 0.29979145
## 103 ztt 20 0.26068822
## 104 cpk 20 0.26068822
## 105 fast 19 0.24765381
## 106 waist 18 0.23461940
## 107 hip 18 0.23461940
## 108 agratio 17 0.22158498
## 109 gpt 5 0.06517205
## 110 ca 5 0.06517205
## 111 pulse1 4 0.05213764
## 112 height 3 0.03910323
## 113 weight 3 0.03910323
## 114 ua 3 0.03910323
## 115 sbp2 2 0.02606882
## 116 dbp1 2 0.02606882
## 117 dbp2 2 0.02606882
## 118 tp 2 0.02606882
## 119 tc 2 0.02606882
## 120 tg 2 0.02606882
## 121 got 2 0.02606882
## 122 rgtp 2 0.02606882
## 123 crea 2 0.02606882
## 124 bs 2 0.02606882
## 125 mine1 2 0.02606882
## 126 sbp1 1 0.01303441
## 127 fh1 1 0.01303441
## 128 fh2 1 0.01303441
## 129 fh3 1 0.01303441
## 130 fh4 1 0.01303441
## 131 fh5 1 0.01303441
## 132 fh6 1 0.01303441
## 133 fh7 1 0.01303441
## 134 fh8 1 0.01303441
## 135 age 0 0.00000000
## 136 sex 0 0.00000000
## 137 usg 0 0.00000000
## 138 upr 0 0.00000000
## 139 uob 0 0.00000000
## 140 dx_ht 0 0.00000000
## 141 dx_tia 0 0.00000000
## 142 dx_bd 0 0.00000000
## 143 dx_chf 0 0.00000000
## 144 dx_af 0 0.00000000
## 145 dx_ar 0 0.00000000
## 146 dx_hl 0 0.00000000
## 147 dx_dm 0 0.00000000
## 148 dx_ckd 0 0.00000000
## 149 dx_li 0 0.00000000
## 150 dx_ane 0 0.00000000
## 151 dx_hua 0 0.00000000
## 152 dx_ulc 0 0.00000000
## 153 dx_etc1 0 0.00000000
## 154 icd 0 0.00000000
## 155 icd_all 0 0.00000000
## 156 cohort 0 0.00000000
## 157 last_mod 0 0.00000000
## 158 baseday 0 0.00000000
## 159 uac 0 0.00000000
## 160 ubil 0 0.00000000
## 161 dx_cvd 0 0.00000000
## 162 last_std 0 0.00000000
## 163 last_mid 0 0.00000000
## 164 last_cvd 0 0.00000000
## 165 pycv 0 0.00000000
## 166 pymi 0 0.00000000
## 167 pyst 0 0.00000000
## 168 pymo 0 0.00000000
## 169 id 0 0.00000000# Calculate missing data
dat2 %>%
summarise_all(~sum(is.na(.))) %>%
gather(key = "Variable", value = "MissingCount") %>%
mutate(MissingPercentage = MissingCount / nrow(dat2) * 100) %>%
arrange(desc(MissingPercentage))## Variable MissingCount MissingPercentage
## 1 lf11 46945 91.052794911
## 2 med 46187 89.582605997
## 3 exer 46185 89.578726871
## 4 ls02 46184 89.576787307
## 5 ls03 46184 89.576787307
## 6 ls01 46183 89.574847744
## 7 tobhon 41304 80.111718841
## 8 alc_q 40156 77.885100275
## 9 lf01 40123 77.821094689
## 10 lf02 40123 77.821094689
## 11 lf03 40123 77.821094689
## 12 lf04 40123 77.821094689
## 13 lf05 40123 77.821094689
## 14 lf06 40123 77.821094689
## 15 lf07 40123 77.821094689
## 16 lf08 40123 77.821094689
## 17 lf09 40123 77.821094689
## 18 lf10 40123 77.821094689
## 19 lh01 40123 77.821094689
## 20 lh02 40123 77.821094689
## 21 lh03 40123 77.821094689
## 22 lh04 40123 77.821094689
## 23 lh05 40123 77.821094689
## 24 hg01 40123 77.821094689
## 25 hg02 40123 77.821094689
## 26 hypliver 34798 67.492920594
## 27 sprenom 34797 67.490981031
## 28 etcphex 34772 67.442491951
## 29 brsound 34761 67.421156755
## 30 d_ecg 34761 67.421156755
## 31 ps08 34755 67.409519376
## 32 pa02 34753 67.405640250
## 33 stress 34752 67.403700687
## 34 pa03 34751 67.401761123
## 35 d_liv 34750 67.399821560
## 36 d_etc 34750 67.399821560
## 37 pa04 34750 67.399821560
## 38 ls04 34750 67.399821560
## 39 d_hl 34749 67.397881997
## 40 pa01 34749 67.397881997
## 41 ps01 34748 67.395942434
## 42 ps02 34748 67.395942434
## 43 ps03 34748 67.395942434
## 44 ps04 34748 67.395942434
## 45 ps05 34748 67.395942434
## 46 ps06 34748 67.395942434
## 47 ps07 34748 67.395942434
## 48 fd01 34747 67.394002871
## 49 fd02 34747 67.394002871
## 50 fd03 34747 67.394002871
## 51 fd04 34747 67.394002871
## 52 fd05 34747 67.394002871
## 53 fd06 34747 67.394002871
## 54 fd07 34747 67.394002871
## 55 fd08 34747 67.394002871
## 56 fd09 34747 67.394002871
## 57 fd10 34747 67.394002871
## 58 fd11 34747 67.394002871
## 59 fd12 34747 67.394002871
## 60 fd13 34747 67.394002871
## 61 fd14 34747 67.394002871
## 62 fd16 34747 67.394002871
## 63 fd15 34747 67.394002871
## 64 d_cdv 34746 67.392063307
## 65 arith2 34618 67.143799216
## 66 arith1 34592 67.093370573
## 67 alcfreq 32940 63.889212149
## 68 edema 28861 55.977733814
## 69 anemia 28856 55.968035998
## 70 hba1c2 14436 27.999534505
## 71 t_ua 11442 22.192482253
## 72 dx_st 7871 15.266302029
## 73 waist 2077 4.028472788
## 74 arhythm 882 1.710694752
## 75 fasting 277 0.537259009
## 76 tob 214 0.415066527
## 77 alc 190 0.368517010
## 78 casound 97 0.188137631
## 79 pulse2 52 0.100857287
## 80 height 23 0.044609954
## 81 pulse1 22 0.042670391
## 82 dbp2 20 0.038791264
## 83 weight 18 0.034912138
## 84 sbp2 18 0.034912138
## 85 dbp1 12 0.023274759
## 86 sbp1 10 0.019395632
## 87 t_st 7 0.013576942
## 88 d_ane 6 0.011637379
## 89 dx_ci 6 0.011637379
## 90 d_dm 5 0.009697816
## 91 t_ht 5 0.009697816
## 92 t_hl 5 0.009697816
## 93 t_dm 5 0.009697816
## 94 t_mi 5 0.009697816
## 95 dx_ht 5 0.009697816
## 96 dx_ich 5 0.009697816
## 97 dx_sah 5 0.009697816
## 98 dx_tia 5 0.009697816
## 99 dx_ap 5 0.009697816
## 100 dx_mi 5 0.009697816
## 101 dx_bd 5 0.009697816
## 102 dx_af 5 0.009697816
## 103 dx_ar 5 0.009697816
## 104 dx_hl 5 0.009697816
## 105 dx_dm 5 0.009697816
## 106 dx_th 5 0.009697816
## 107 dx_ost 5 0.009697816
## 108 dx_ckd 5 0.009697816
## 109 dx_cat 5 0.009697816
## 110 dx_li 5 0.009697816
## 111 dx_ane 5 0.009697816
## 112 dx_hua 5 0.009697816
## 113 dx_ulc 5 0.009697816
## 114 dx_can 5 0.009697816
## 115 dx_etc1 5 0.009697816
## 116 dx_etc2 5 0.009697816
## 117 age 4 0.007758253
## 118 sex 4 0.007758253
## 119 dx_chf 1 0.001939563
## 120 id 0 0.000000000
## 121 examday 0 0.000000000
## 122 u_sug 0 0.000000000
## 123 u_pro 0 0.000000000
## 124 u_occ 0 0.000000000
## 125 u_look 0 0.000000000
## 126 u_ph 0 0.000000000
## 127 u_ket 0 0.000000000
## 128 u_uro 0 0.000000000
## 129 u_bil 0 0.000000000
## 130 u_g 0 0.000000000
## 131 u_no2 0 0.000000000
## 132 u_wbc 0 0.000000000
## 133 tp 0 0.000000000
## 134 agratio 0 0.000000000
## 135 ztt 0 0.000000000
## 136 tc 0 0.000000000
## 137 hdl 0 0.000000000
## 138 ldl 0 0.000000000
## 139 tg 0 0.000000000
## 140 got 0 0.000000000
## 141 gpt 0 0.000000000
## 142 rgtp 0 0.000000000
## 143 ua 0 0.000000000
## 144 hba1c 0 0.000000000
## 145 crea 0 0.000000000
## 146 bs 0 0.000000000
## 147 wbc 0 0.000000000
## 148 rbc 0 0.000000000
## 149 hg 0 0.000000000
## 150 hct 0 0.000000000
## 151 plt 0 0.000000000# Calculate missing data
dat3 %>%
summarise_all(~sum(is.na(.))) %>%
gather(key = "Variable", value = "MissingCount") %>%
mutate(MissingPercentage = MissingCount / nrow(dat3) * 100) %>%
arrange(desc(MissingPercentage))## Variable MissingCount MissingPercentage
## 1 uwbc 59230 1.000000e+02
## 2 d_stk 59230 1.000000e+02
## 3 d_mi 59230 1.000000e+02
## 4 f_lost 59230 1.000000e+02
## 5 ph8 59229 9.999831e+01
## 6 dth_dur 59224 9.998987e+01
## 7 ph7 59224 9.998987e+01
## 8 ph6 59209 9.996454e+01
## 9 paf 59175 9.990714e+01
## 10 dth_mi 59164 9.988857e+01
## 11 ph5 59132 9.983454e+01
## 12 mi_area 59130 9.983117e+01
## 13 mine5 59127 9.982610e+01
## 14 af_day 59070 9.972987e+01
## 15 int_knd 59070 9.972987e+01
## 16 int_oped 59066 9.972311e+01
## 17 mine4 59007 9.962350e+01
## 18 ci_scale 58963 9.954921e+01
## 19 ci_type 58954 9.953402e+01
## 20 ci_area 58954 9.953402e+01
## 21 ph4 58926 9.948675e+01
## 22 mi_onset 58925 9.948506e+01
## 23 ct 58898 9.943947e+01
## 24 mri 58897 9.943778e+01
## 25 st_onset 58792 9.926051e+01
## 26 mine3 58674 9.906129e+01
## 27 tobsty 58549 9.885024e+01
## 28 cp_dur 58493 9.875570e+01
## 29 ph3 58416 9.862570e+01
## 30 tobyr 58007 9.793517e+01
## 31 ido_date 57696 9.741010e+01
## 32 inslin 57507 9.709100e+01
## 33 mine2 57466 9.702178e+01
## 34 seiri 57382 9.687996e+01
## 35 ph2 57377 9.687152e+01
## 36 death_d 57359 9.684113e+01
## 37 vldl 57090 9.638697e+01
## 38 heikeiy 56684 9.570150e+01
## 39 memai 55404 9.354044e+01
## 40 nocturia 55404 9.354044e+01
## 41 cp_sleep 55402 9.353706e+01
## 42 alc_freq 55367 9.347797e+01
## 43 alcgou 55345 9.344082e+01
## 44 ph1 55308 9.337836e+01
## 45 heikei 55198 9.319264e+01
## 46 deth_moy 55048 9.293939e+01
## 47 lf11 54617 9.221172e+01
## 48 med 53859 9.093196e+01
## 49 ls02 53856 9.092690e+01
## 50 ls03 53856 9.092690e+01
## 51 ls01 53855 9.092521e+01
## 52 deth_fay 53676 9.062300e+01
## 53 wt20 53596 9.048793e+01
## 54 icd_stk 53262 8.992402e+01
## 55 icd_ihd 53180 8.978558e+01
## 56 icd_cvd 52952 8.940064e+01
## 57 hako 52936 8.937363e+01
## 58 elbow 52934 8.937025e+01
## 59 bf 52680 8.894141e+01
## 60 icd_can 52673 8.892960e+01
## 61 unhappy 52399 8.846699e+01
## 62 satisf 52351 8.838595e+01
## 63 drug 52316 8.832686e+01
## 64 sleep 52289 8.828128e+01
## 65 vital 52279 8.826439e+01
## 66 social 52279 8.826439e+01
## 67 dx_sd 52269 8.824751e+01
## 68 dx_pmi 52243 8.820361e+01
## 69 dx_int 52163 8.806855e+01
## 70 scott 52148 8.804322e+01
## 71 sheieht 52137 8.802465e+01
## 72 sheieas 52136 8.802296e+01
## 73 frct 52037 8.785582e+01
## 74 bruit 52035 8.785244e+01
## 75 alb 51978 8.775620e+01
## 76 glb 51978 8.775620e+01
## 77 dx_ihd 51970 8.774270e+01
## 78 kaidan 51946 8.770218e+01
## 79 dysphagia 51636 8.717879e+01
## 80 uph 51616 8.714503e+01
## 81 mahi 51616 8.714503e+01
## 82 murmur 51615 8.714334e+01
## 83 sft_kata 51611 8.713659e+01
## 84 deth_mo 51610 8.713490e+01
## 85 deth_fa 51601 8.711970e+01
## 86 chestpain 51599 8.711633e+01
## 87 sft_ude 51581 8.708594e+01
## 88 cpk 51578 8.708087e+01
## 89 fast 51577 8.707918e+01
## 90 hip 51576 8.707749e+01
## 91 ca 51563 8.705555e+01
## 92 mine1 51560 8.705048e+01
## 93 fh1 51559 8.704879e+01
## 94 fh2 51559 8.704879e+01
## 95 fh3 51559 8.704879e+01
## 96 fh4 51559 8.704879e+01
## 97 fh5 51559 8.704879e+01
## 98 fh6 51559 8.704879e+01
## 99 fh7 51559 8.704879e+01
## 100 fh8 51559 8.704879e+01
## 101 usg 51558 8.704710e+01
## 102 upr 51558 8.704710e+01
## 103 uob 51558 8.704710e+01
## 104 icd 51558 8.704710e+01
## 105 icd_all 51558 8.704710e+01
## 106 cohort 51558 8.704710e+01
## 107 last_mod 51558 8.704710e+01
## 108 baseday 51558 8.704710e+01
## 109 uac 51558 8.704710e+01
## 110 ubil 51558 8.704710e+01
## 111 dx_cvd 51558 8.704710e+01
## 112 last_std 51558 8.704710e+01
## 113 last_mid 51558 8.704710e+01
## 114 last_cvd 51558 8.704710e+01
## 115 pycv 51558 8.704710e+01
## 116 pymi 51558 8.704710e+01
## 117 pyst 51558 8.704710e+01
## 118 pymo 51558 8.704710e+01
## 119 alc_q 47828 8.074962e+01
## 120 lf01 47795 8.069391e+01
## 121 lf02 47795 8.069391e+01
## 122 lf03 47795 8.069391e+01
## 123 lf04 47795 8.069391e+01
## 124 lf05 47795 8.069391e+01
## 125 lf06 47795 8.069391e+01
## 126 lf07 47795 8.069391e+01
## 127 lf08 47795 8.069391e+01
## 128 lf09 47795 8.069391e+01
## 129 lf10 47795 8.069391e+01
## 130 lh01 47795 8.069391e+01
## 131 lh02 47795 8.069391e+01
## 132 lh03 47795 8.069391e+01
## 133 lh04 47795 8.069391e+01
## 134 lh05 47795 8.069391e+01
## 135 hg01 47795 8.069391e+01
## 136 hg02 47795 8.069391e+01
## 137 tobhon 46640 7.874388e+01
## 138 exer 46497 7.850245e+01
## 139 hypliver 42470 7.170353e+01
## 140 sprenom 42469 7.170184e+01
## 141 etcphex 42444 7.165963e+01
## 142 brsound 42433 7.164106e+01
## 143 d_ecg 42433 7.164106e+01
## 144 ps08 42427 7.163093e+01
## 145 pa02 42425 7.162755e+01
## 146 pa03 42423 7.162418e+01
## 147 d_liv 42422 7.162249e+01
## 148 d_etc 42422 7.162249e+01
## 149 pa04 42422 7.162249e+01
## 150 ls04 42422 7.162249e+01
## 151 d_hl 42421 7.162080e+01
## 152 pa01 42421 7.162080e+01
## 153 ps01 42420 7.161911e+01
## 154 ps02 42420 7.161911e+01
## 155 ps03 42420 7.161911e+01
## 156 ps04 42420 7.161911e+01
## 157 ps05 42420 7.161911e+01
## 158 ps06 42420 7.161911e+01
## 159 ps07 42420 7.161911e+01
## 160 fd01 42419 7.161742e+01
## 161 fd02 42419 7.161742e+01
## 162 fd03 42419 7.161742e+01
## 163 fd04 42419 7.161742e+01
## 164 fd05 42419 7.161742e+01
## 165 fd06 42419 7.161742e+01
## 166 fd07 42419 7.161742e+01
## 167 fd08 42419 7.161742e+01
## 168 fd09 42419 7.161742e+01
## 169 fd10 42419 7.161742e+01
## 170 fd11 42419 7.161742e+01
## 171 fd12 42419 7.161742e+01
## 172 fd13 42419 7.161742e+01
## 173 fd14 42419 7.161742e+01
## 174 fd16 42419 7.161742e+01
## 175 fd15 42419 7.161742e+01
## 176 d_cdv 42418 7.161574e+01
## 177 alcfreq 40612 6.856660e+01
## 178 edema 36533 6.167989e+01
## 179 anemia 36528 6.167145e+01
## 180 stress 35557 6.003208e+01
## 181 arith2 35337 5.966064e+01
## 182 arith1 35235 5.948843e+01
## 183 hba1c2 22108 3.732568e+01
## 184 t_ua 19114 3.227081e+01
## 185 arhythm 8554 1.444201e+01
## 186 dx_st 8150 1.375992e+01
## 187 fasting 7949 1.342056e+01
## 188 casound 7769 1.311666e+01
## 189 t_st 7679 1.296471e+01
## 190 d_ane 7678 1.296303e+01
## 191 d_dm 7677 1.296134e+01
## 192 t_ht 7677 1.296134e+01
## 193 t_hl 7677 1.296134e+01
## 194 t_dm 7677 1.296134e+01
## 195 t_mi 7677 1.296134e+01
## 196 dx_ap 7677 1.296134e+01
## 197 dx_th 7677 1.296134e+01
## 198 dx_ost 7677 1.296134e+01
## 199 dx_cat 7677 1.296134e+01
## 200 dx_can 7677 1.296134e+01
## 201 dx_etc2 7677 1.296134e+01
## 202 examday 7672 1.295290e+01
## 203 u_sug 7672 1.295290e+01
## 204 u_pro 7672 1.295290e+01
## 205 u_occ 7672 1.295290e+01
## 206 u_look 7672 1.295290e+01
## 207 u_ph 7672 1.295290e+01
## 208 u_ket 7672 1.295290e+01
## 209 u_uro 7672 1.295290e+01
## 210 u_bil 7672 1.295290e+01
## 211 u_g 7672 1.295290e+01
## 212 u_no2 7672 1.295290e+01
## 213 u_wbc 7672 1.295290e+01
## 214 plt 7672 1.295290e+01
## 215 ldl 5543 9.358433e+00
## 216 hba1c 4930 8.323485e+00
## 217 waist 2095 3.537059e+00
## 218 dx_sah 685 1.156509e+00
## 219 dx_ich 643 1.085599e+00
## 220 dx_mi 636 1.073780e+00
## 221 dx_ci 447 7.546851e-01
## 222 tob 344 5.807868e-01
## 223 alc 311 5.250718e-01
## 224 pulse2 75 1.266250e-01
## 225 hdl 35 5.909168e-02
## 226 rbc 27 4.558501e-02
## 227 height 26 4.389667e-02
## 228 pulse1 26 4.389667e-02
## 229 wbc 26 4.389667e-02
## 230 hg 26 4.389667e-02
## 231 hct 26 4.389667e-02
## 232 dbp2 22 3.714334e-02
## 233 weight 21 3.545501e-02
## 234 sbp2 20 3.376667e-02
## 235 ztt 20 3.376667e-02
## 236 agratio 17 2.870167e-02
## 237 dbp1 14 2.363667e-02
## 238 sbp1 11 1.857167e-02
## 239 gpt 5 8.441668e-03
## 240 dx_ht 5 8.441668e-03
## 241 dx_tia 5 8.441668e-03
## 242 dx_bd 5 8.441668e-03
## 243 dx_af 5 8.441668e-03
## 244 dx_ar 5 8.441668e-03
## 245 dx_hl 5 8.441668e-03
## 246 dx_dm 5 8.441668e-03
## 247 dx_ckd 5 8.441668e-03
## 248 dx_li 5 8.441668e-03
## 249 dx_ane 5 8.441668e-03
## 250 dx_hua 5 8.441668e-03
## 251 dx_ulc 5 8.441668e-03
## 252 dx_etc1 5 8.441668e-03
## 253 age 4 6.753334e-03
## 254 sex 4 6.753334e-03
## 255 ua 3 5.065001e-03
## 256 tp 2 3.376667e-03
## 257 tc 2 3.376667e-03
## 258 tg 2 3.376667e-03
## 259 got 2 3.376667e-03
## 260 rgtp 2 3.376667e-03
## 261 crea 2 3.376667e-03
## 262 bs 2 3.376667e-03
## 263 dx_chf 1 1.688334e-03
## 264 id 0 0.000000e+00