Provide a container for FAERS Quarterly Data file
# S4 method for class 'FAERS'
show(object)
# S4 method for class 'FAERSascii'
show(object)
faers_data(object, ...)
# S4 method for class 'FAERS'
faers_data(object)
faers_year(object)
# S4 method for class 'FAERS'
faers_year(object)
faers_quarter(object)
# S4 method for class 'FAERS'
faers_quarter(object)
faers_period(object)
# S4 method for class 'FAERS'
faers_period(object)
faers_meddra(object, ...)
# S4 method for class 'FAERS'
faers_meddra(object, use = NULL)
faers_deleted_cases(object, ...)
# S4 method for class 'FAERSascii'
faers_deleted_cases(object)
faers_header(object)
# S4 method for class 'FAERSxml'
faers_header(object)A FAERS object.
Other arguments passed to specific methods.
A string, what meddra data to use, "hierarchy" or "smq". If
NULL, a MedDRA will be returned. Only used when object has been
standardized
See details.
faers_data: Extract the data slot.
faers_year: Extract the year slot.
faers_quarter: Extract the quarter slot.
faers_period: A data.table combine the year
and quarter slot.
faers_meddra: Extract the meddra slot. If object have never been
standardized, always return NULL.
faers_deleted_cases: Extract the deletedCases slot.
yearAn integer specifies the year information.
quarterA string specifies the quarter information.
dataFor FAERSxml, a data.table. For
FAERSascii, a list of data.table.
meddraA MedDRA or NULL representing the meddra data used for
standardization.
formatA string of "ascii" or "xml" indicates the file format used.
deletedCasesAn atomic character, as of 2019 Quarter one there are new files that lists deleted cases. faers_dedup will remove cases in this slot.
standardizationA bool, indicates whether standardization has been performed.
deduplicationA bool, indicates whether deduplication has been performed.
# ususaly we use faers() function to create a `FAERS` object
# you must change `dir`, as the file included in the package is sampled
data <- faers(2004, "q1",
dir = system.file("extdata", package = "faers"),
compress_dir = tempdir()
)
#> Finding 1 file already downloaded: aers_ascii_2004q1.zip
faers_data(data)
#> $demo
#> year quarter primaryid caseid i_f_code foll_seq image event_dt
#> <int> <char> <char> <char> <char> <int> <char> <int>
#> 1: 2004 q1 4263764 4060920 I NA 4263764-6 20020101
#> 2: 2004 q1 4263927 4064250 I NA 4263927-X NA
#> 3: 2004 q1 4264001 4062524 I NA 4264001-9 20031218
#> 4: 2004 q1 4264319 4064506 I NA 4264319-X 20031216
#> 5: 2004 q1 4266745 4056689 I NA 4266745-1 20030529
#> 6: 2004 q1 4268568 4059382 I NA 4268568-6 NA
#> 7: 2004 q1 4268586 3994383 F NA 4268586-8 20030826
#> 8: 2004 q1 4269553 4061181 I NA 4269553-0 20040105
#> 9: 2004 q1 4269590 4062932 I NA 4269590-6 20030602
#> 10: 2004 q1 4269894 4068631 I NA 4269894-7 20030805
#> 11: 2004 q1 4270064 4062312 I NA 4270064-7 NA
#> 12: 2004 q1 4271501 4007339 F 1 4271501-4 20020729
#> 13: 2004 q1 4272687 4072288 I NA 4272687-8 20031220
#> 14: 2004 q1 4274829 4073121 I NA 4274829-7 NA
#> 15: 2004 q1 4276604 4019165 F 2 4276604-6 NA
#> 16: 2004 q1 4276994 4062516 F 2 4276994-4 20031101
#> 17: 2004 q1 4277521 4027660 F 1 4277521-8 NA
#> 18: 2004 q1 4279336 4022360 F 1 4279336-3 20030911
#> 19: 2004 q1 4280316 4049927 F 1 4280316-2 20030617
#> 20: 2004 q1 4280654 4081346 I NA 4280654-3 20040112
#> 21: 2004 q1 4281199 4093363 I NA 4281199-7 NA
#> 22: 2004 q1 4281267 4074460 I NA 4281267-X 20031111
#> 23: 2004 q1 4283791 4091687 I NA 4283791-2 NA
#> 24: 2004 q1 4283960 4008465 F NA 4283960-1 20010717
#> 25: 2004 q1 4284513 4084187 I NA 4284513-1 20030101
#> 26: 2004 q1 4284876 4086360 I NA 4284876-7 NA
#> 27: 2004 q1 4285379 4078728 F 1 4285379-6 20030813
#> 28: 2004 q1 4286029 4087281 I NA 4286029-5 NA
#> 29: 2004 q1 4286712 4072824 F 1 4286712-1 20031209
#> 30: 2004 q1 4286757 4081521 F NA 4286757-1 20031214
#> 31: 2004 q1 4286940 4088359 I NA 4286940-5 20030121
#> 32: 2004 q1 4287019 4088362 I NA 4287019-9 20040121
#> 33: 2004 q1 4289563 4091829 I NA 4289563-7 20030901
#> mfr_dt fda_dt rept_cod mfr_num
#> <int> <int> <char> <char>
#> 1: 20031219 20040102 EXP USA031255171
#> 2: 20031209 20040102 EXP B0317710A
#> 3: 20031219 20040102 EXP JP-JNJFOC-20031204393
#> 4: 20031218 20040105 EXP MEDI-0001221
#> 5: 20040105 20040108 EXP FR-GLAXOSMITHKLINE-B0318977A
#> 6: 20040107 20040112 EXP PHBS2004JP00548
#> 7: 20030904 20040112 EXP US-GLAXOSMITHKLINE-A0424697A
#> 8: 20040106 20040113 EXP US-BRISTOL-MYERS SQUIBB COMPANY-12471421
#> 9: NA 20040112 DIR <NA>
#> 10: NA 20040112 DIR <NA>
#> 11: 20030204 20040114 PER US-GLAXOSMITHKLINE-A0395406A
#> 12: 20040106 20040113 EXP TPA2003A01222
#> 13: 20040109 20040115 EXP 04-01-0044
#> 14: 20031231 20040115 EXP USA040155657
#> 15: 20040108 20040120 EXP US-SHR-03-015202
#> 16: 20040105 20040120 EXP 03P-062-0245595-00
#> 17: 20040105 20040121 EXP DSA_23477_2003
#> 18: 20040112 20040122 EXP FR-JNJFOC-20030905591
#> 19: 20040115 20040126 EXP UK059122
#> 20: 20040119 20040123 EXP 200410213GDS
#> 21: 20030911 20040108 PER HQWYE745017SEP03
#> 22: 20031201 20040123 PER DL2003219
#> 23: 20030415 20040115 PER NSADSS2003017923
#> 24: 20031002 20040202 EXP WAES 0310USA00338
#> 25: NA 20040130 DIR <NA>
#> 26: 20040119 20040202 EXP A001-002-005955
#> 27: 20040121 20040202 EXP 2004194398JP
#> 28: 20040122 20040203 EXP 2004004976
#> 29: 20040126 20040204 EXP 2004193432JP
#> 30: 20040127 20040206 EXP IT-GLAXOSMITHKLINE-B0321668A
#> 31: 20040129 20040205 EXP USA-2004-0012715
#> 32: 20040121 20040205 EXP US_0401100140
#> 33: 20031020 20040126 PER USA030948470
#> mfr_sndr age age_cod gender e_sub wt
#> <char> <num> <char> <char> <char> <num>
#> 1: ELI LILLY AND COMPANY 68 YR F N 82.0
#> 2: GLAXOSMITHKLINE GLOBAL CLINICAL SAFETY 58 YR F N NA
#> 3: CENTOCOR, INC. 53 YR F N 36.8
#> 4: MEDIMUNE, INC. NA <NA> F N NA
#> 5: GLAXOSMITHKLINE 48 YR F Y NA
#> 6: NOVARTIS PHARMACEUTICALS CORP. NA <NA> M Y NA
#> 7: GLAXOSMITHKLINE 13 YR F Y NA
#> 8: BRISTOL-MYERS SQUIBB COMPANY 10 DEC F Y NA
#> 9: <NA> 57 YR M N NA
#> 10: <NA> 90 YR M N NA
#> 11: GLAXOSMITHKLINE NA <NA> <NA> Y NA
#> 12: TAKEDA PHARMACEUTICALS NORTH AMERICA. 71 YR M N 160.0
#> 13: IVAX PHARMACEUTICALS, INC. 71 YR F N NA
#> 14: ELI LILLY AND COMPANY 79 YR F N NA
#> 15: BERLEX LABORATORIES NA <NA> F N 79.4
#> 16: PPD PHARMACOVIGILANCE NA <NA> F N NA
#> 17: BIOVAIL PHARMACEUTICALS INC. 61 YR M N 204.0
#> 18: CENTOCOR, INC. 31 YR F N NA
#> 19: AMGEN 65 YR F N 63.0
#> 20: BAYER PHARMACEUTICALS CORPORATION 17 YR F N NA
#> 21: WYETH LABS (RA) NA <NA> F N NA
#> 22: DANCO LABORATORIES, LLC NA <NA> F N NA
#> 23: JOHNSON + JOHNSON PHARMACEUTICAL 85 YR F N NA
#> 24: MERCK HUMAN HEALTH DIVISION 55 YR M Y NA
#> 25: <NA> 73 YR M N NA
#> 26: EISAI INC. NA <NA> F N NA
#> 27: PFIZER INC. 72 YR F N 52.0
#> 28: WWS PFIZER PHARMACEUTICALS NA <NA> M N NA
#> 29: PFIZER INC. 53 YR M N NA
#> 30: GLAXOSMITHKLINE 17 YR F Y NA
#> 31: PURDUE PHARMA L.P. 38 YR F N NA
#> 32: ELI LILLY AND COMPANY NA <NA> F N NA
#> 33: ELI LILLY AND COMPANY 79 YR F N NA
#> wt_cod rept_dt occp_cod death_dt to_mfr confid v23 caseversion
#> <char> <int> <char> <lgcl> <char> <char> <lgcl> <int>
#> 1: KG 20031223 <NA> NA <NA> <NA> NA 0
#> 2: <NA> 20031219 <NA> NA <NA> <NA> NA 0
#> 3: KG 20031231 MD NA <NA> <NA> NA 0
#> 4: <NA> 20031231 MD NA <NA> <NA> NA 0
#> 5: <NA> 20040108 CN NA <NA> <NA> NA 0
#> 6: <NA> 20040109 MD NA <NA> <NA> NA 0
#> 7: <NA> 20040112 CN NA <NA> <NA> NA 0
#> 8: <NA> 20040113 OT NA <NA> <NA> NA 0
#> 9: <NA> NA PH NA N Y NA 0
#> 10: <NA> NA <NA> NA N Y NA 0
#> 11: <NA> 20040114 CN NA <NA> <NA> NA 0
#> 12: LBS 20040112 MD NA <NA> <NA> NA 0
#> 13: <NA> 20040109 OT NA <NA> <NA> NA 0
#> 14: <NA> 20040107 <NA> NA <NA> <NA> NA 0
#> 15: KG 20040116 CN NA <NA> <NA> NA 0
#> 16: <NA> 20040105 MD NA <NA> <NA> NA 0
#> 17: LBS 20040120 MD NA <NA> <NA> NA 0
#> 18: <NA> 20040121 MD NA <NA> <NA> NA 0
#> 19: KG 20040123 <NA> NA <NA> <NA> NA 0
#> 20: <NA> 20040122 MD NA <NA> <NA> NA 0
#> 21: <NA> 20031223 <NA> NA <NA> <NA> NA 0
#> 22: <NA> 20031229 OT NA <NA> <NA> NA 0
#> 23: <NA> 20040108 OT NA <NA> <NA> NA 0
#> 24: <NA> 20040203 MD NA <NA> <NA> NA 0
#> 25: <NA> 20030124 OT NA Y N NA 0
#> 26: <NA> 20040123 MD NA <NA> <NA> NA 0
#> 27: KG 20040130 MD NA <NA> <NA> NA 0
#> 28: <NA> 20040202 CN NA <NA> <NA> NA 0
#> 29: <NA> 20040202 OT NA <NA> <NA> NA 0
#> 30: <NA> 20040206 CN NA <NA> <NA> NA 0
#> 31: <NA> 20040204 OT NA <NA> <NA> NA 0
#> 32: <NA> 20040128 <NA> NA <NA> <NA> NA 0
#> 33: <NA> 20031208 MD NA <NA> <NA> NA 0
#> age_in_years country_code sex
#> <num> <char> <char>
#> 1: 68 <NA> Female
#> 2: 58 <NA> Female
#> 3: 53 <NA> Female
#> 4: NA <NA> Female
#> 5: 48 <NA> Female
#> 6: NA <NA> Male
#> 7: 13 <NA> Female
#> 8: 120 <NA> Female
#> 9: 57 <NA> Male
#> 10: 90 <NA> Male
#> 11: NA <NA> <NA>
#> 12: 71 <NA> Male
#> 13: 71 <NA> Female
#> 14: 79 <NA> Female
#> 15: NA <NA> Female
#> 16: NA <NA> Female
#> 17: 61 <NA> Male
#> 18: 31 <NA> Female
#> 19: 65 <NA> Female
#> 20: 17 <NA> Female
#> 21: NA <NA> Female
#> 22: NA <NA> Female
#> 23: 85 <NA> Female
#> 24: 55 <NA> Male
#> 25: 73 <NA> Male
#> 26: NA <NA> Female
#> 27: 72 <NA> Female
#> 28: NA <NA> Male
#> 29: 53 <NA> Male
#> 30: 17 <NA> Female
#> 31: 38 <NA> Female
#> 32: NA <NA> Female
#> 33: 79 <NA> Female
#> [ reached 'max' / getOption("max.print") -- omitted 68 rows ]
#>
#> $drug
#> year quarter primaryid drug_seq role_cod drugname val_vbm route
#> <int> <char> <char> <int> <char> <char> <int> <char>
#> 1: 2004 q1 4263764 1004492874 PS HUMALOG 1 <NA>
#> 2: 2004 q1 4263764 1004515789 SS HUMULIN L 1 <NA>
#> 3: 2004 q1 4263764 1004515793 SS HUMULIN R 1 <NA>
#> 4: 2004 q1 4263927 1004493661 PS AVANDIA 1 ORAL
#> 5: 2004 q1 4263927 1004529123 C GLYBURIDE 1 <NA>
#> ---
#> 337: 2004 q1 4373559 1004924622 C ZETIA 1 <NA>
#> 338: 2004 q1 4373586 1004923625 PS CRESTOR 1 ORAL
#> 339: 2004 q1 4373706 1004923791 PS CRESTOR 1 <NA>
#> 340: 2004 q1 4373706 1004925107 SS NIACIN 1 <NA>
#> 341: 2004 q1 4373706 1004925121 C LIPITOR 1 <NA>
#> dose_vbm dechal rechal lot_num exp_dt nda_num v13
#> <char> <char> <char> <char> <int> <char> <lgcl>
#> 1: <NA> D <NA> <NA> NA 20563 NA
#> 2: 15 U/2 DAY D <NA> <NA> NA <NA> NA
#> 3: <NA> N <NA> <NA> NA <NA> NA
#> 4: ORAL Y D <NA> NA 21071 NA
#> 5: <NA> <NA> <NA> <NA> NA <NA> NA
#> ---
#> 337: <NA> <NA> <NA> <NA> NA <NA> NA
#> 338: 10 MG PO D D <NA> NA 21366 NA
#> 339: <NA> D D <NA> NA 21366 NA
#> 340: <NA> D D <NA> NA <NA> NA
#> 341: <NA> <NA> <NA> <NA> NA <NA> NA
#>
#> $indi
#> year quarter primaryid indi_drug_seq
#> <int> <char> <char> <int>
#> 1: 2004 q1 4263927 1004493661
#> 2: 2004 q1 4264001 1004493811
#> 3: 2004 q1 4264001 1004520441
#> 4: 2004 q1 4264001 1004520538
#> 5: 2004 q1 4264319 1004494389
#> ---
#> 153: 2004 q1 4338901 1004786888
#> 154: 2004 q1 4346899 1004815291
#> 155: 2004 q1 4346899 1004815291
#> 156: 2004 q1 4347265 1004816501
#> 157: 2004 q1 4373559 1004923573
#> indi_pt
#> <char>
#> 1: DIABETES MELLITUS NON-INSULIN-DEPENDENT
#> 2: RHEUMATOID ARTHRITIS
#> 3: RHEUMATOID ARTHRITIS
#> 4: RHEUMATOID ARTHRITIS
#> 5: ANTIVIRAL PROPHYLAXIS
#> ---
#> 153: RHEUMATOID ARTHRITIS
#> 154: ATTENTION DEFICIT/HYPERACTIVITY DISORDER
#> 155: PERVASIVE DEVELOPMENTAL DISORDER
#> 156: FRACTURED SACRUM
#> 157: LIPIDS INCREASED
#>
#> $reac
#> year quarter primaryid pt v3
#> <int> <char> <char> <char> <lgcl>
#> 1: 2004 q1 4263764 BLOOD PRESSURE INCREASED NA
#> 2: 2004 q1 4263764 DIABETES MELLITUS INADEQUATE CONTROL NA
#> 3: 2004 q1 4263927 ACCELERATED HYPERTENSION NA
#> 4: 2004 q1 4263927 DIZZINESS NA
#> 5: 2004 q1 4263927 FATIGUE NA
#> ---
#> 401: 2004 q1 4373559 FATIGUE NA
#> 402: 2004 q1 4373559 MYALGIA NA
#> 403: 2004 q1 4373586 HIGH DENSITY LIPOPROTEIN DECREASED NA
#> 404: 2004 q1 4373706 DRUG INTERACTION NA
#> 405: 2004 q1 4373706 HEPATIC ENZYME INCREASED NA
#>
#> $ther
#> year quarter primaryid dsg_drug_seq start_dt end_dt dur dur_cod
#> <int> <char> <char> <int> <int> <int> <int> <char>
#> 1: 2004 q1 4263764 1004492874 20010101 NA NA <NA>
#> 2: 2004 q1 4263764 1004515789 19850101 NA NA <NA>
#> 3: 2004 q1 4263764 1004515793 19830101 20010101 NA <NA>
#> 4: 2004 q1 4263927 1004493661 NA NA 1 MON
#> 5: 2004 q1 4264001 1004493811 20031202 20031202 NA <NA>
#> ---
#> 161: 2004 q1 4338901 1004786888 20030205 NA NA <NA>
#> 162: 2004 q1 4346899 1004815291 20031101 NA NA <NA>
#> 163: 2004 q1 4347265 1004816501 20040128 NA NA <NA>
#> 164: 2004 q1 4373559 1004923573 20030923 20031022 NA <NA>
#> 165: 2004 q1 4373586 1004923625 20031201 NA NA <NA>
#> v7
#> <lgcl>
#> 1: NA
#> 2: NA
#> 3: NA
#> 4: NA
#> 5: NA
#> ---
#> 161: NA
#> 162: NA
#> 163: NA
#> 164: NA
#> 165: NA
#>
#> $rpsr
#> year quarter primaryid rpsr_cod v3
#> <int> <char> <char> <char> <lgcl>
#> 1: 2004 q1 4263764 CSM NA
#> 2: 2004 q1 4263927 FGN NA
#> 3: 2004 q1 4263927 HP NA
#> 4: 2004 q1 4263927 LIT NA
#> 5: 2004 q1 4264001 FGN NA
#> ---
#> 103: 2004 q1 4346899 CSM NA
#> 104: 2004 q1 4347265 CSM NA
#> 105: 2004 q1 4373559 HP NA
#> 106: 2004 q1 4373586 HP NA
#> 107: 2004 q1 4373706 HP NA
#>
#> $outc
#> year quarter primaryid outc_cod v3
#> <int> <char> <char> <char> <lgcl>
#> 1: 2004 q1 4263764 HO NA
#> 2: 2004 q1 4263927 OT NA
#> 3: 2004 q1 4264001 DE NA
#> 4: 2004 q1 4264001 HO NA
#> 5: 2004 q1 4264319 HO NA
#> 6: 2004 q1 4264319 OT NA
#> 7: 2004 q1 4266745 HO NA
#> 8: 2004 q1 4268568 DE NA
#> 9: 2004 q1 4268568 OT NA
#> 10: 2004 q1 4268586 OT NA
#> 11: 2004 q1 4269553 OT NA
#> 12: 2004 q1 4269590 HO NA
#> 13: 2004 q1 4269894 HO NA
#> 14: 2004 q1 4271501 HO NA
#> 15: 2004 q1 4272687 HO NA
#> 16: 2004 q1 4274829 HO NA
#> 17: 2004 q1 4276604 OT NA
#> 18: 2004 q1 4276994 HO NA
#> 19: 2004 q1 4277521 OT NA
#> 20: 2004 q1 4279336 HO NA
#> 21: 2004 q1 4279336 OT NA
#> 22: 2004 q1 4280316 HO NA
#> 23: 2004 q1 4280654 HO NA
#> 24: 2004 q1 4281199 OT NA
#> 25: 2004 q1 4281267 RI NA
#> 26: 2004 q1 4283791 OT NA
#> 27: 2004 q1 4283960 DE NA
#> 28: 2004 q1 4283960 DS NA
#> 29: 2004 q1 4283960 HO NA
#> 30: 2004 q1 4284513 DE NA
#> 31: 2004 q1 4284513 HO NA
#> 32: 2004 q1 4284513 OT NA
#> 33: 2004 q1 4284876 RI NA
#> 34: 2004 q1 4285379 DE NA
#> 35: 2004 q1 4286029 OT NA
#> 36: 2004 q1 4286712 HO NA
#> 37: 2004 q1 4286757 HO NA
#> 38: 2004 q1 4286940 OT NA
#> 39: 2004 q1 4287019 DE NA
#> 40: 2004 q1 4290441 HO NA
#> 41: 2004 q1 4290441 OT NA
#> 42: 2004 q1 4294153 OT NA
#> 43: 2004 q1 4294372 DS NA
#> 44: 2004 q1 4294513 HO NA
#> 45: 2004 q1 4297303 OT NA
#> 46: 2004 q1 4297385 DS NA
#> 47: 2004 q1 4297385 OT NA
#> 48: 2004 q1 4297385 RI NA
#> 49: 2004 q1 4299109 HO NA
#> 50: 2004 q1 4300112 OT NA
#> 51: 2004 q1 4301549 HO NA
#> 52: 2004 q1 4301549 RI NA
#> 53: 2004 q1 4303368 HO NA
#> 54: 2004 q1 4305272 OT NA
#> 55: 2004 q1 4306018 HO NA
#> 56: 2004 q1 4306018 OT NA
#> 57: 2004 q1 4309138 OT NA
#> 58: 2004 q1 4309390 OT NA
#> 59: 2004 q1 4309892 HO NA
#> 60: 2004 q1 4310779 DE NA
#> 61: 2004 q1 4310779 HO NA
#> 62: 2004 q1 4310862 HO NA
#> 63: 2004 q1 4312635 LT NA
#> 64: 2004 q1 4314135 OT NA
#> 65: 2004 q1 4314728 HO NA
#> 66: 2004 q1 4316846 DE NA
#> 67: 2004 q1 4316948 HO NA
#> 68: 2004 q1 4317126 HO NA
#> 69: 2004 q1 4317723 HO NA
#> 70: 2004 q1 4318479 HO NA
#> 71: 2004 q1 4318770 DS NA
#> 72: 2004 q1 4318770 HO NA
#> 73: 2004 q1 4319252 LT NA
#> 74: 2004 q1 4322216 DS NA
#> 75: 2004 q1 4322216 OT NA
#> 76: 2004 q1 4322271 DE NA
#> 77: 2004 q1 4322418 OT NA
#> 78: 2004 q1 4322977 HO NA
#> 79: 2004 q1 4322977 LT NA
#> 80: 2004 q1 4322977 OT NA
#> 81: 2004 q1 4322977 RI NA
#> 82: 2004 q1 4324746 DS NA
#> 83: 2004 q1 4324746 HO NA
#> 84: 2004 q1 4324746 OT NA
#> 85: 2004 q1 4325623 DS NA
#> 86: 2004 q1 4325623 HO NA
#> 87: 2004 q1 4325623 OT NA
#> 88: 2004 q1 4326344 HO NA
#> 89: 2004 q1 4326344 LT NA
#> 90: 2004 q1 4326344 RI NA
#> 91: 2004 q1 4327943 LT NA
#> 92: 2004 q1 4330031 LT NA
#> 93: 2004 q1 4331457 OT NA
#> 94: 2004 q1 4373559 RI NA
#> 95: 2004 q1 4373586 OT NA
#> 96: 2004 q1 4373706 OT NA
#> year quarter primaryid outc_cod v3
#>
faers_year(data)
#> [1] 2004
faers_quarter(data)
#> [1] "q1"
faers_period(data)
#> year quarter
#> <int> <char>
#> 1: 2004 q1
faers_meddra(data)
#> NULL
faers_deleted_cases(data)
#> character(0)