Load CDISCTealData object from a file
cdisc_data_file.Rd![[Experimental]](figures/lifecycle-experimental.svg)
Usage
cdisc_data_file(path, code = get_code(path))Arguments
- path
A (
connection) or a (character)
string giving the pathname of the file or URL to read from. "" indicates the connectionstdin.- code
(
character)
reproducible code to re-create object
Examples
file_example <- tempfile(fileext = ".R")
writeLines(
text = c(
"library(scda)
# code>
ADSL <- synthetic_cdisc_data('latest')$adsl
ADTTE <- synthetic_cdisc_data('latest')$adtte
cdisc_data(
cdisc_dataset(\"ADSL\", ADSL), cdisc_dataset(\"ADTTE\", ADTTE),
code = \"ADSL <- synthetic_cdisc_data('latest')$adsl
ADTTE <- synthetic_cdisc_data('latest')$adtte\",
check = FALSE
)
# <code"
),
con = file_example
)
cdisc_data_file(file_example)
#> A CDISCTealData object containing 2 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A CDISCTealDataset object containing the following data.frame (400 rows and 56 columns):
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
#> 1 AB12345 AB12345-CHN-3-id-128 id-128 CHN-3 32 YEARS M
#> 2 AB12345 AB12345-CHN-15-id-262 id-262 CHN-15 35 YEARS M
#> 3 AB12345 AB12345-RUS-3-id-378 id-378 RUS-3 30 YEARS F
#> 4 AB12345 AB12345-CHN-11-id-220 id-220 CHN-11 26 YEARS F
#> 5 AB12345 AB12345-CHN-7-id-267 id-267 CHN-7 40 YEARS M
#> 6 AB12345 AB12345-CHN-15-id-201 id-201 CHN-15 49 YEARS M
#> RACE ETHNIC COUNTRY DTHFL INVID
#> 1 ASIAN HISPANIC OR LATINO CHN Y INV ID CHN-3
#> 2 BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO CHN N INV ID CHN-15
#> 3 ASIAN NOT HISPANIC OR LATINO RUS N INV ID RUS-3
#> 4 ASIAN NOT HISPANIC OR LATINO CHN N INV ID CHN-11
#> 5 ASIAN NOT HISPANIC OR LATINO CHN N INV ID CHN-7
#> 6 ASIAN NOT HISPANIC OR LATINO CHN Y INV ID CHN-15
#> INVNAM ARM ARMCD ACTARM ACTARMCD TRT01P
#> 1 Dr. CHN-3 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X
#> 2 Dr. CHN-15 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> 3 Dr. RUS-3 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> 4 Dr. CHN-11 Doe B: Placebo ARM B B: Placebo ARM B B: Placebo
#> 5 Dr. CHN-7 Doe B: Placebo ARM B B: Placebo ARM B B: Placebo
#> 6 Dr. CHN-15 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> TRT01A TRT02P TRT02A REGION1 STRATA1 STRATA2
#> 1 A: Drug X B: Placebo A: Drug X Asia C S2
#> 2 C: Combination B: Placebo C: Combination Asia C S1
#> 3 C: Combination A: Drug X B: Placebo Eurasia A S1
#> 4 B: Placebo B: Placebo B: Placebo Asia B S2
#> 5 B: Placebo C: Combination A: Drug X Asia C S1
#> 6 C: Combination B: Placebo C: Combination Asia C S2
#> BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT
#> 1 14.424934 MEDIUM Y Y Y Y N 2019-02-22
#> 2 4.055463 LOW Y Y N N Y 2019-02-26
#> 3 2.803240 HIGH Y Y Y N N 2019-02-24
#> 4 10.262734 MEDIUM Y Y Y Y N 2019-02-27
#> 5 6.206763 LOW Y Y N N N 2019-03-01
#> 6 6.906799 MEDIUM Y Y Y N N 2019-03-05
#> TRTSDTM TRTEDTM TRT01SDTM
#> 1 2019-02-24 11:09:18 2022-02-12 03:55:58 2019-02-24 11:09:18
#> 2 2019-02-26 09:05:00 2022-02-26 02:32:36 2019-02-26 09:05:00
#> 3 2019-02-28 03:19:08 2022-02-27 20:46:44 2019-02-28 03:19:08
#> 4 2019-03-01 13:33:03 2022-03-01 07:00:39 2019-03-01 13:33:03
#> 5 2019-03-02 00:09:16 2022-03-01 17:36:52 2019-03-02 00:09:16
#> 6 2019-03-05 15:23:44 2022-02-19 03:34:25 2019-03-05 15:23:44
#> TRT01EDTM TRT02SDTM TRT02EDTM
#> 1 2021-02-11 22:06:46 2021-02-11 22:06:46 2022-02-12 03:55:58
#> 2 2021-02-25 20:43:24 2021-02-25 20:43:24 2022-02-26 02:32:36
#> 3 2021-02-27 14:57:32 2021-02-27 14:57:32 2022-02-27 20:46:44
#> 4 2021-03-01 01:11:27 2021-03-01 01:11:27 2022-03-01 07:00:39
#> 5 2021-03-01 11:47:40 2021-03-01 11:47:40 2022-03-01 17:36:52
#> 6 2021-02-18 21:45:13 2021-02-18 21:45:13 2022-02-19 03:34:25
#> AP01SDTM AP01EDTM AP02SDTM
#> 1 2019-02-24 11:09:18 2021-02-11 22:06:46 2021-02-11 22:06:46
#> 2 2019-02-26 09:05:00 2021-02-25 20:43:24 2021-02-25 20:43:24
#> 3 2019-02-28 03:19:08 2021-02-27 14:57:32 2021-02-27 14:57:32
#> 4 2019-03-01 13:33:03 2021-03-01 01:11:27 2021-03-01 01:11:27
#> 5 2019-03-02 00:09:16 2021-03-01 11:47:40 2021-03-01 11:47:40
#> 6 2019-03-05 15:23:44 2021-02-18 21:45:13 2021-02-18 21:45:13
#> AP02EDTM EOSSTT EOTSTT EOSDT EOSDY DCSREAS
#> 1 2022-02-12 03:55:58 DISCONTINUED DISCONTINUED 2022-02-12 1084 DEATH
#> 2 2022-02-26 02:32:36 COMPLETED COMPLETED 2022-02-26 1096 <NA>
#> 3 2022-02-27 20:46:44 COMPLETED COMPLETED 2022-02-27 1096 <NA>
#> 4 2022-03-01 07:00:39 COMPLETED COMPLETED 2022-03-01 1096 <NA>
#> 5 2022-03-01 17:36:52 COMPLETED COMPLETED 2022-03-01 1096 <NA>
#> 6 2022-02-19 03:34:25 DISCONTINUED DISCONTINUED 2022-02-19 1082 DEATH
#> DTHDT DTHCAUS DTHCAT LDDTHELD LDDTHGR1 LSTALVDT DTHADY
#> 1 2022-03-06 ADVERSE EVENT ADVERSE EVENT 22 <=30 2022-03-06 1106
#> 2 <NA> <NA> <NA> NA <NA> 2022-03-17 NA
#> 3 <NA> <NA> <NA> NA <NA> 2022-03-11 NA
#> 4 <NA> <NA> <NA> NA <NA> 2022-03-26 NA
#> 5 <NA> <NA> <NA> NA <NA> 2022-03-15 NA
#> 6 2022-02-22 ADVERSE EVENT ADVERSE EVENT 3 <=30 2022-02-22 1085
#> ADTHAUT study_duration_secs
#> 1 Yes 63113904
#> 2 <NA> 63113904
#> 3 <NA> 63113904
#> 4 <NA> 63113904
#> 5 <NA> 63113904
#> 6 Yes 63113904
#>
#> ...
#> # A tibble: 6 × 56
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
#> <chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
#> 1 AB12345 AB12345-CH… id-11 CHN-9 28 YEARS F NATI… HISPA… CHN Y
#> 2 AB12345 AB12345-CH… id-352 CHN-16 28 YEARS M ASIAN UNKNO… CHN N
#> 3 AB12345 AB12345-CH… id-186 CHN-1 27 YEARS M ASIAN NOT H… CHN N
#> 4 AB12345 AB12345-CH… id-371 CHN-1 28 YEARS F ASIAN NOT H… CHN N
#> 5 AB12345 AB12345-CH… id-233 CHN-1 36 YEARS F BLAC… NOT H… CHN Y
#> 6 AB12345 AB12345-US… id-131 USA-12 44 YEARS F AMER… NOT H… USA N
#> # … with 45 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>,
#> # ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>,
#> # TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> # BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> # AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>,
#> # TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>,
#> # AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …
#> --> Element 2:
#> A CDISCTealDataset object containing the following data.frame (2000 rows and 68 columns):
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
#> 1 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 2 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 3 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 4 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 5 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 6 AB12345 AB12345-BRA-1-id-134 id-134 BRA-1 47 YEARS M
#> RACE ETHNIC COUNTRY DTHFL INVID
#> 1 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 2 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 3 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 4 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 5 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 6 WHITE NOT HISPANIC OR LATINO BRA Y INV ID BRA-1
#> INVNAM ARM ARMCD ACTARM ACTARMCD TRT01P TRT01A
#> 1 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 2 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 3 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 4 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 5 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 6 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> TRT02P TRT02A REGION1 STRATA1 STRATA2 BMRKR1 BMRKR2 ITTFL
#> 1 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 2 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 3 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 4 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 5 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 6 B: Placebo A: Drug X South America B S2 6.462991 LOW Y
#> SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT TRTSDTM
#> 1 Y Y Y N 2020-03-08 2020-03-08 05:28:11
#> 2 Y Y Y N 2020-03-08 2020-03-08 05:28:11
#> 3 Y Y Y N 2020-03-08 2020-03-08 05:28:11
#> 4 Y Y Y N 2020-03-08 2020-03-08 05:28:11
#> 5 Y Y Y N 2020-03-08 2020-03-08 05:28:11
#> 6 Y Y N N 2020-11-03 2020-11-04 03:50:33
#> TRTEDTM TRT01SDTM TRT01EDTM
#> 1 2022-02-14 20:26:11 2020-03-08 05:28:11 2021-02-14 14:36:59
#> 2 2022-02-14 20:26:11 2020-03-08 05:28:11 2021-02-14 14:36:59
#> 3 2022-02-14 20:26:11 2020-03-08 05:28:11 2021-02-14 14:36:59
#> 4 2022-02-14 20:26:11 2020-03-08 05:28:11 2021-02-14 14:36:59
#> 5 2022-02-14 20:26:11 2020-03-08 05:28:11 2021-02-14 14:36:59
#> 6 2022-02-20 03:01:31 2020-11-04 03:50:33 2021-02-19 21:12:19
#> TRT02SDTM TRT02EDTM AP01SDTM
#> 1 2021-02-14 14:36:59 2022-02-14 20:26:11 2020-03-08 05:28:11
#> 2 2021-02-14 14:36:59 2022-02-14 20:26:11 2020-03-08 05:28:11
#> 3 2021-02-14 14:36:59 2022-02-14 20:26:11 2020-03-08 05:28:11
#> 4 2021-02-14 14:36:59 2022-02-14 20:26:11 2020-03-08 05:28:11
#> 5 2021-02-14 14:36:59 2022-02-14 20:26:11 2020-03-08 05:28:11
#> 6 2021-02-19 21:12:19 2022-02-20 03:01:31 2020-11-04 03:50:33
#> AP01EDTM AP02SDTM AP02EDTM EOSSTT
#> 1 2021-02-14 14:36:59 2021-02-14 14:36:59 2022-02-14 20:26:11 DISCONTINUED
#> 2 2021-02-14 14:36:59 2021-02-14 14:36:59 2022-02-14 20:26:11 DISCONTINUED
#> 3 2021-02-14 14:36:59 2021-02-14 14:36:59 2022-02-14 20:26:11 DISCONTINUED
#> 4 2021-02-14 14:36:59 2021-02-14 14:36:59 2022-02-14 20:26:11 DISCONTINUED
#> 5 2021-02-14 14:36:59 2021-02-14 14:36:59 2022-02-14 20:26:11 DISCONTINUED
#> 6 2021-02-19 21:12:19 2021-02-19 21:12:19 2022-02-20 03:01:31 DISCONTINUED
#> EOTSTT EOSDT EOSDY DCSREAS DTHDT DTHCAUS
#> 1 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 2 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 3 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 4 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 5 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 6 DISCONTINUED 2022-02-20 473 DEATH 2022-03-16 ADVERSE EVENT
#> DTHCAT LDDTHELD LDDTHGR1 LSTALVDT DTHADY ADTHAUT study_duration_secs
#> 1 <NA> NA <NA> 2022-03-09 NA <NA> 63113904
#> 2 <NA> NA <NA> 2022-03-09 NA <NA> 63113904
#> 3 <NA> NA <NA> 2022-03-09 NA <NA> 63113904
#> 4 <NA> NA <NA> 2022-03-09 NA <NA> 63113904
#> 5 <NA> NA <NA> 2022-03-09 NA <NA> 63113904
#> 6 ADVERSE EVENT 24 <=30 2022-03-16 497 Yes 63113904
#> ASEQ TTESEQ PARAM PARAMCD AVAL AVALU ADTM
#> 1 2 2 Duration of Confirmed Response CRSD 1273.8498 DAYS 2021-01-25
#> 2 4 4 Event Free Survival EFS 135.9787 DAYS 2022-02-11
#> 3 3 3 Overall Survival OS 1759.8678 DAYS 2021-07-16
#> 4 1 1 Progression Free Survival PFS 241.1912 DAYS 2020-12-13
#> 5 NA NA Total Number of Exacerbations TNE 1.0000 COUNT <NA>
#> 6 4 4 Duration of Confirmed Response CRSD 544.5728 DAYS 2021-06-22
#> ADY CNSR EVNTDESC CNSDTDSC lgTMATRSK
#> 1 323 1 Last Date Known To Be Alive End of AE Reporting Period NA
#> 2 705 0 Death NA
#> 3 495 0 Death NA
#> 4 280 0 Disease Progression NA
#> 5 NA 1 <NA> End of AE Reporting Period -2.802988
#> 6 230 0 Death NA
#>
#> ...
#> # A tibble: 6 × 68
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
#> <chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
#> 1 AB12345 AB12345-US… id-206 USA-8 34 YEARS F ASIAN NOT H… USA N
#> 2 AB12345 AB12345-US… id-130 USA-9 40 YEARS M ASIAN NOT H… USA N
#> 3 AB12345 AB12345-US… id-130 USA-9 40 YEARS M ASIAN NOT H… USA N
#> 4 AB12345 AB12345-US… id-130 USA-9 40 YEARS M ASIAN NOT H… USA N
#> 5 AB12345 AB12345-US… id-130 USA-9 40 YEARS M ASIAN NOT H… USA N
#> 6 AB12345 AB12345-US… id-130 USA-9 40 YEARS M ASIAN NOT H… USA N
#> # … with 57 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>,
#> # ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>,
#> # TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>,
#> # BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>,
#> # AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>,
#> # TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>,
#> # AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …