Nothing
Code
dim(get(datai))
Output
[1] 1934 93
Code
head(get(datai))
Output
# A tibble: 6 x 93
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-134 BRA-1 47 YEARS M WHITE NOT H~ BRA Y
2 AB12345-2 AB12345-~ id-134 BRA-1 47 YEARS M WHITE NOT H~ BRA Y
3 AB12345-2 AB12345-~ id-134 BRA-1 47 YEARS M WHITE NOT H~ BRA Y
4 AB12345-2 AB12345-~ id-134 BRA-1 47 YEARS M WHITE NOT H~ BRA Y
5 AB12345-1 AB12345-~ id-141 BRA-1 35 YEARS F WHITE NOT H~ BRA N
6 AB12345-1 AB12345-~ id-141 BRA-1 35 YEARS F WHITE NOT H~ BRA N
# i 82 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>, ...
Code
dim(get(datai))
Output
[1] 13600 88
Code
head(get(datai))
Output
# A tibble: 6 x 88
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
2 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
3 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
4 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
5 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
6 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
# i 77 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>, ...
Code
dim(get(datai))
Output
[1] 6400 79
Code
head(get(datai))
Output
# A tibble: 6 x 79
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
2 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
3 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
4 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
5 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
6 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
# i 68 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>, ...
Code
dim(get(datai))
Output
[1] 8400 102
Code
head(get(datai))
Output
# A tibble: 6 x 102
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
2 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
3 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
4 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
5 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
6 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
# i 91 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>, ...
Code
dim(get(datai))
Output
[1] 3200 65
Code
head(get(datai))
Output
# A tibble: 6 x 65
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
2 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
3 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
4 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
5 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
6 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
# i 54 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>, ...
Code
dim(get(datai))
Output
[1] 400 55
Code
head(get(datai))
Output
# A tibble: 6 x 55
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-1 AB12345-~ id-128 CHN-3 32 YEARS M ASIAN HISPA~ CHN Y
2 AB12345-2 AB12345-~ id-262 CHN-15 35 YEARS M BLAC~ NOT H~ CHN N
3 AB12345-1 AB12345-~ id-378 RUS-3 30 YEARS F ASIAN NOT H~ RUS N
4 AB12345-2 AB12345-~ id-220 CHN-11 26 YEARS F ASIAN NOT H~ CHN N
5 AB12345-1 AB12345-~ id-267 CHN-7 40 YEARS M ASIAN NOT H~ CHN N
6 AB12345-2 AB12345-~ id-201 CHN-15 49 YEARS M ASIAN NOT H~ CHN Y
# i 44 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>, ...
Code
dim(get(datai))
Output
[1] 2800 76
Code
head(get(datai))
Output
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
1 AB12345-2 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
2 AB12345-2 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
3 AB12345-2 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
4 AB12345-2 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
5 AB12345-2 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
6 AB12345-2 AB12345-BRA-1-id-105 id-105 BRA-1 38 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 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N 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 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT TRTSDTM
1 Y Y Y N 2020-03-08 2020-03-08 05:39:28
2 Y Y Y N 2020-03-08 2020-03-08 05:39:28
3 Y Y Y N 2020-03-08 2020-03-08 05:39:28
4 Y Y Y N 2020-03-08 2020-03-08 05:39:28
5 Y Y Y N 2020-03-08 2020-03-08 05:39:28
6 Y Y Y N 2020-03-08 2020-03-08 05:39:28
TRTEDTM TRT01SDTM TRT01EDTM
1 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
2 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
3 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
4 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
5 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
6 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
TRT02SDTM TRT02EDTM AP01SDTM
1 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
2 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
3 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
4 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
5 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
6 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
AP01EDTM AP02SDTM AP02EDTM EOSSTT
1 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
2 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
3 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
4 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
5 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
6 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
EOTSTT EOSDT EOSDY DCSREAS DTHDT DTHCAUS DTHCAT
1 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA> <NA>
2 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA> <NA>
3 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA> <NA>
4 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA> <NA>
5 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA> <NA>
6 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA> <NA>
LDDTHELD LDDTHGR1 LSTALVDT DTHADY ADTHAUT AGEGR1 TRTDURD DCSREAS_GRP
1 NA <NA> 2022-03-09 NA <NA> <65 707.6382 Non-Safety
2 NA <NA> 2022-03-09 NA <NA> <65 707.6382 Non-Safety
3 NA <NA> 2022-03-09 NA <NA> <65 707.6382 Non-Safety
4 NA <NA> 2022-03-09 NA <NA> <65 707.6382 Non-Safety
5 NA <NA> 2022-03-09 NA <NA> <65 707.6382 Non-Safety
6 NA <NA> 2022-03-09 NA <NA> <65 707.6382 Non-Safety
PARAM PARAMCD AVISIT AVISITN
1 Sum of Longest Diameter by Investigator SLDINV POST-BASELINE MINIMUM 999
2 Sum of Longest Diameter by Investigator SLDINV END OF INDUCTION 999
3 Sum of Longest Diameter by Investigator SLDINV BASELINE 0
4 Sum of Longest Diameter by Investigator SLDINV CYCLE 4 DAY 1 4
5 Sum of Longest Diameter by Investigator SLDINV SCREENING -1
6 Sum of Longest Diameter by Investigator SLDINV FOLLOW UP 999
ADTM ADY DTYPE AVAL AVALC AVALU BASE ABLFL
1 2021-06-19 468 MINIMUM 141.6140 141.614020702645 mm 167.4415
2 2021-06-19 468 141.6140 141.614020702645 mm 167.4415
3 2020-03-08 0 NA <NA> mm 167.4415 Y
4 2021-07-27 506 195.2095 195.209453323539 mm 167.4415
5 2019-11-29 -100 171.4226 171.422566332973 mm 167.4415
6 2022-01-06 669 210.8322 210.832161998961 mm 167.4415
CHG PCHG ONTRTFL ANL01FL ANL02FL ANL03FL
1 -25.82752 -15.42480 Y Y
2 -25.82752 -15.42480 Y Y
3 NA NA Y Y
4 27.76791 16.58365 Y Y
5 NA NA
6 43.39062 25.91389 Y Y
Code
dim(get(datai))
Output
[1] 2000 67
Code
head(get(datai))
Output
# A tibble: 6 x 67
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
2 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
3 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
4 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
5 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
6 AB12345-2 AB12345-~ id-134 BRA-1 47 YEARS M WHITE NOT H~ BRA Y
# i 56 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>, ...
Code
dim(get(datai))
Output
[1] 16800 87
Code
head(get(datai))
Output
# A tibble: 6 x 87
STUDYID USUBJID SUBJID SITEID AGE AGEU SEX RACE ETHNIC COUNTRY DTHFL
<chr> <chr> <chr> <chr> <int> <fct> <fct> <fct> <fct> <fct> <fct>
1 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
2 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
3 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
4 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
5 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
6 AB12345-2 AB12345-~ id-105 BRA-1 38 YEARS M BLAC~ HISPA~ BRA N
# i 76 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>, ...
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.