Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create catalog
# ct <- catalog(pkg, engines$csv)
#
# # View catalog
# ct
# # data catalog: 6 items
# # - Source: C:/packages/fetch/inst/extdata
# # - Engine: csv
# # - Items:
# # data item 'ADAE': 56 cols 150 rows
# # data item 'ADEX': 17 cols 348 rows
# # data item 'ADPR': 37 cols 552 rows
# # data item 'ADPSGA': 42 cols 695 rows
# # data item 'ADSL': 56 cols 87 rows
# # data item 'ADVS': 37 cols 3617 rows
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # View info for catalog item
# ct$ADEX
# # data item 'ADEX': 17 cols 348 rows
# # - Engine: csv
# # - Size: 70.7 Kb
# # - Last Modified: 2020-09-18 14:30:22
# # Name Column Class Label Format NAs MaxChar
# # 1 ADEX STUDYID character <NA> NA 0 3
# # 2 ADEX USUBJID character <NA> NA 0 10
# # 3 ADEX SUBJID character <NA> NA 0 3
# # 4 ADEX SITEID character <NA> NA 0 2
# # 5 ADEX TRTP character <NA> NA 8 5
# # 6 ADEX TRTPN numeric <NA> NA 8 1
# # 7 ADEX TRTA character <NA> NA 8 5
# # 8 ADEX TRTAN numeric <NA> NA 8 1
# # 9 ADEX RANDFL character <NA> NA 0 1
# # 10 ADEX SAFFL character <NA> NA 0 1
# # 11 ADEX MITTFL character <NA> NA 0 1
# # 12 ADEX PPROTFL character <NA> NA 0 1
# # 13 ADEX PARAM character <NA> NA 0 45
# # 14 ADEX PARAMCD character <NA> NA 0 8
# # 15 ADEX PARAMN numeric <NA> NA 0 1
# # 16 ADEX AVAL numeric <NA> NA 16 4
# # 17 ADEX AVALCAT1 character <NA> NA 87 10
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
#
# # Fetch data from a catalog
# dt <- fetch(ct$ADEX)
#
# # View data
# dt
# # A tibble: 348 × 17
# # STUDYID USUBJID SUBJID SITEID TRTP TRTPN TRTA TRTAN RANDFL SAFFL MITTFL PPROTFL
# # <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> <chr> <chr> <chr>
# # 1 ABC ABC-01-049 049 01 ARM D 4 ARM D 4 Y Y Y Y
# # 2 ABC ABC-01-049 049 01 ARM D 4 ARM D 4 Y Y Y Y
# # 3 ABC ABC-01-049 049 01 ARM D 4 ARM D 4 Y Y Y Y
# # 4 ABC ABC-01-049 049 01 ARM D 4 ARM D 4 Y Y Y Y
# # 5 ABC ABC-01-050 050 01 ARM B 2 ARM B 2 Y Y Y Y
# # 6 ABC ABC-01-050 050 01 ARM B 2 ARM B 2 Y Y Y Y
# # 7 ABC ABC-01-050 050 01 ARM B 2 ARM B 2 Y Y Y Y
# # 8 ABC ABC-01-050 050 01 ARM B 2 ARM B 2 Y Y Y Y
# # 9 ABC ABC-01-051 051 01 ARM A 1 ARM A 1 Y Y Y Y
# # 10 ABC ABC-01-051 051 01 ARM A 1 ARM A 1 Y Y Y Y
# # 338 more rows
# # 5 more variables: PARAM <chr>, PARAMCD <chr>, PARAMN <dbl>, AVAL <dbl>,
# # AVALCAT1 <chr>
# # Use `print(n = ...)` to see more rows
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create catalog
# ct <- catalog(pkg, engines$csv)
#
# # Subset data for a specific subject
# dt <- fetch(ct$ADVS, where = expression(SUBJID == '049'))
#
# # View data subset
# dt
# # A tibble: 44 × 37
# # STUDYID USUBJID SUBJID SITEID SRCDOM SRCVAR SRCSEQ TRTP TRTPN TRTA TRTAN RANDFL
# # <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> <dbl> <chr>
# # 1 ABC ABC-01-049 049 01 VS VSSTRESN 9 ARM D 4 ARM D 4 Y
# # 2 ABC ABC-01-049 049 01 VS VSSTRESN 41 ARM D 4 ARM D 4 Y
# # 3 ABC ABC-01-049 049 01 NA NA NA ARM D 4 ARM D 4 Y
# # 4 ABC ABC-01-049 049 01 VS VSSTRESN 34 ARM D 4 ARM D 4 Y
# # 5 ABC ABC-01-049 049 01 VS VSSTRESN 35 ARM D 4 ARM D 4 Y
# # 6 ABC ABC-01-049 049 01 VS VSSTRESN 36 ARM D 4 ARM D 4 Y
# # 7 ABC ABC-01-049 049 01 VS VSSTRESN 37 ARM D 4 ARM D 4 Y
# # 8 ABC ABC-01-049 049 01 VS VSSTRESN 38 ARM D 4 ARM D 4 Y
# # 9 ABC ABC-01-049 049 01 VS VSSTRESN 39 ARM D 4 ARM D 4 Y
# # 10 ABC ABC-01-049 049 01 VS VSSTRESN 40 ARM D 4 ARM D 4 Y
# # 34 more rows
# # 25 more variables: SAFFL <chr>, MITTFL <chr>, PPROTFL <chr>, TRTSDT <chr>,
# # TRTEDT <chr>, ADT <chr>, ADY <dbl>, ADTF <lgl>, AVISIT <chr>, AVISITN <dbl>,
# # PARAM <chr>, PARAMCD <chr>, PARAMN <dbl>, PARAMTYP <chr>, AVAL <dbl>, BASE <dbl>,
# # CHG <dbl>, AWRANGE <chr>, AWTARGET <dbl>, AWTDIFF <dbl>, AWLO <dbl>, AWHI <dbl>,
# # AWU <chr>, ABLFL <chr>, ANL01FL <chr>
# # Use `print(n = ...)` to see more rows
#
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create catalog
# ct <- catalog(pkg, engines$csv)
#
# # Subset data for a specific subject
# dt <- fetch(ct$ADVS, top = 5, where = expression(SUBJID == '049'))
#
# # View results
# dt
# # A tibble: 5 × 37
# # STUDYID USUBJID SUBJID SITEID SRCDOM SRCVAR SRCSEQ TRTP TRTPN TRTA TRTAN RANDFL SAFFL
# # <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> <dbl> <chr> <chr>
# # 1 ABC ABC-01-… 049 01 VS VSSTR… 9 ARM D 4 ARM D 4 Y Y
# # 2 ABC ABC-01-… 049 01 VS VSSTR… 41 ARM D 4 ARM D 4 Y Y
# # 3 ABC ABC-01-… 049 01 NA NA NA ARM D 4 ARM D 4 Y Y
# # 4 ABC ABC-01-… 049 01 VS VSSTR… 34 ARM D 4 ARM D 4 Y Y
# # 5 ABC ABC-01-… 049 01 VS VSSTR… 35 ARM D 4 ARM D 4 Y Y
# # 24 more variables: MITTFL <chr>, PPROTFL <chr>, TRTSDT <chr>, TRTEDT <chr>,
# # ADT <chr>, ADY <dbl>, ADTF <lgl>, AVISIT <chr>, AVISITN <dbl>, PARAM <chr>,
# # PARAMCD <chr>, PARAMN <dbl>, PARAMTYP <chr>, AVAL <dbl>, BASE <dbl>, CHG <dbl>,
# # AWRANGE <chr>, AWTARGET <dbl>, AWTDIFF <dbl>, AWLO <dbl>, AWHI <dbl>, AWU <chr>,
# # ABLFL <chr>, ANL01FL <chr>
#
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create catalog, applying pattern to dataset names
# ct <- catalog(pkg, engines$csv, pattern = "*S*")
#
# # View catalog
# ct
# # data catalog: 3 items
# # - Source: C:/packages/fetch/inst/extdata
# # - Engine: csv
# # - Pattern: *S*
# # - Items:
# # data item 'ADPSGA': 42 cols 695 rows
# # data item 'ADSL': 56 cols 87 rows
# # data item 'ADVS': 37 cols 3617 rows
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create catalog without where expression
# ct1 <- catalog(pkg, engines$csv)
#
# # View catalog
# ct1
# # data catalog: 6 items
# # - Source: C:/packages/fetch/inst/extdata
# # - Engine: csv
# # - Items:
# # data item 'ADAE': 56 cols 150 rows
# # data item 'ADEX': 17 cols 348 rows
# # data item 'ADPR': 37 cols 552 rows
# # data item 'ADPSGA': 42 cols 695 rows
# # data item 'ADSL': 56 cols 87 rows
# # data item 'ADVS': 37 cols 3617 rows
#
# # Create catalog with where expression
# ct2 <- catalog(pkg, engines$csv, where = expression(SUBJID == '049'))
#
# # View catalog
# ct2
# # data catalog: 6 items
# # - Source: C:/packages/fetch/inst/extdata
# # - Engine: csv
# # - Where: SUBJID == "049"
# # - Items:
# # # data item 'ADAE': 56 cols 5 rows
# # - Where: SUBJID == "049"
# # # data item 'ADEX': 17 cols 4 rows
# # - Where: SUBJID == "049"
# # # data item 'ADPR': 37 cols 7 rows
# # - Where: SUBJID == "049"
# # # data item 'ADPSGA': 42 cols 10 rows
# # - Where: SUBJID == "049"
# # # data item 'ADSL': 56 cols 1 rows
# # - Where: SUBJID == "049"
# # # data item 'ADVS': 37 cols 44 rows
# # - Where: SUBJID == "049"
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Subset data for a specific subject
# dt1 <- fetch(ct2$ADVS)
#
# # View results of ADVS fetch
# dt1
# # A tibble: 44 × 37
# # STUDYID USUBJID SUBJID SITEID SRCDOM SRCVAR SRCSEQ TRTP TRTPN TRTA TRTAN RANDFL SAFFL
# # <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> <dbl> <chr> <chr>
# # 1 ABC ABC-01-049 049 01 VS VSSTRESN 9 ARM D 4 ARM D 4 Y Y
# # 2 ABC ABC-01-049 049 01 VS VSSTRESN 41 ARM D 4 ARM D 4 Y Y
# # 3 ABC ABC-01-049 049 01 NA NA NA ARM D 4 ARM D 4 Y Y
# # 4 ABC ABC-01-049 049 01 VS VSSTRESN 34 ARM D 4 ARM D 4 Y Y
# # 5 ABC ABC-01-049 049 01 VS VSSTRESN 35 ARM D 4 ARM D 4 Y Y
# # 6 ABC ABC-01-049 049 01 VS VSSTRESN 36 ARM D 4 ARM D 4 Y Y
# # 7 ABC ABC-01-049 049 01 VS VSSTRESN 37 ARM D 4 ARM D 4 Y Y
# # 8 ABC ABC-01-049 049 01 VS VSSTRESN 38 ARM D 4 ARM D 4 Y Y
# # 9 ABC ABC-01-049 049 01 VS VSSTRESN 39 ARM D 4 ARM D 4 Y Y
# # 10 ABC ABC-01-049 049 01 VS VSSTRESN 40 ARM D 4 ARM D 4 Y Y
# # 34 more rows
# # 24 more variables: MITTFL <chr>, PPROTFL <chr>, TRTSDT <chr>, TRTEDT <chr>, ADT <chr>,
# # ADY <dbl>, ADTF <lgl>, AVISIT <chr>, AVISITN <dbl>, PARAM <chr>, PARAMCD <chr>,
# # PARAMN <dbl>, PARAMTYP <chr>, AVAL <dbl>, BASE <dbl>, CHG <dbl>, AWRANGE <chr>,
# # AWTARGET <dbl>, AWTDIFF <dbl>, AWLO <dbl>, AWHI <dbl>, AWU <chr>, ABLFL <chr>,
# # ANL01FL <chr>
# # Use `print(n = ...)` to see more rows
#
#
# # View results of ADSL fetch
# dt2 <- fetch(ct2$ADSL)
# # A tibble: 1 × 56
# # STUDYID USUBJID SUBJID SITEID AGE AGEU AGEGR1 SEX RACE RACEN ETHNIC ETHNICN COUNTRY
# # <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <lgl>
# # 1 ABC ABC-01-049 049 01 39 YEARS 30-39 y… M WHITE 5 NOT H… 2 NA
# # 43 more variables: ARM <chr>, ACTARM <lgl>, TRT01P <chr>, TRT01PN <dbl>, TRT01A <chr>,
# # TRT01AN <dbl>, TRTSDT <chr>, TRTEDT <chr>, TRTDURN <dbl>, TRTDURU <chr>, TR01SDT <chr>,
# # TR01EDT <chr>, INCNFL <chr>, RANDFL <chr>, RANDEXC1 <lgl>, RANDEXC2 <chr>, RANDEXC3 <chr>,
# # RANDEXC4 <chr>, SAFFL <chr>, SAFEXC1 <chr>, SAFEXC2 <chr>, MITTFL <chr>, MITTEXC1 <chr>,
# # MITTEXC2 <chr>, PPROTFL <chr>, PPROTEX1 <chr>, PPROTEX2 <chr>, PPROTEX3 <chr>,
# # PPROTEX4 <chr>, COMPLFL <chr>, STDYDISP <chr>, STDYREAS <chr>, INCNDT <chr>, RANDDT <chr>,
# # DTHDT <lgl>, DTHFL <chr>, MISSDOSE <dbl>, TP1TRTR <chr>, TP2TRTR <chr>, TP3TRTR <chr>,...
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create catalog without import spec
# ct <- catalog(pkg, engines$csv)
#
# # View dictionary for ADVS
# ct$ADVS
# # data item 'ADVS': 37 cols 3617 rows
# # - Engine: csv
# # - Size: 1.1 Mb
# # - Last Modified: 2020-09-18 14:30:22
# # Name Column Class Label Format NAs MaxChar
# # 1 ADVS STUDYID character <NA> NA 0 3
# # 2 ADVS USUBJID character <NA> NA 0 10
# # 3 ADVS SUBJID character <NA> NA 0 3
# # 4 ADVS SITEID character <NA> NA 0 2
# # 5 ADVS SRCDOM character <NA> NA 85 2
# # 6 ADVS SRCVAR character <NA> NA 85 8
# # 7 ADVS SRCSEQ numeric <NA> NA 85 2
# # 8 ADVS TRTP character <NA> NA 85 5
# # 9 ADVS TRTPN numeric <NA> NA 85 1
# # 10 ADVS TRTA character <NA> NA 85 5
# # 11 ADVS TRTAN numeric <NA> NA 85 1
# # 12 ADVS RANDFL character <NA> NA 0 1
# # 13 ADVS SAFFL character <NA> NA 0 1
# # 14 ADVS MITTFL character <NA> NA 0 1
# # 15 ADVS PPROTFL character <NA> NA 0 1
# # 16 ADVS TRTSDT character <NA> NA 54 9 # Character by default
# # 17 ADVS TRTEDT character <NA> NA 119 9 # Character by default
# # 18 ADVS ADT character <NA> NA 0 9
# # 19 ADVS ADY numeric <NA> NA 54 4
# # 20 ADVS ADTF logical <NA> NA 3617 0
# # 21 ADVS AVISIT character <NA> NA 50 14
# # 22 ADVS AVISITN numeric <NA> NA 50 2
# # 23 ADVS PARAM character <NA> NA 0 35
# # 24 ADVS PARAMCD character <NA> NA 0 6
# # 25 ADVS PARAMN numeric <NA> NA 0 1
# # 26 ADVS PARAMTYP character <NA> NA 3532 7
# # 27 ADVS AVAL numeric <NA> NA 0 5
# # 28 ADVS BASE numeric <NA> NA 70 5
# # 29 ADVS CHG numeric <NA> NA 1312 4
# # 30 ADVS AWRANGE character <NA> NA 1331 25
# # 31 ADVS AWTARGET numeric <NA> NA 1331 3
# # 32 ADVS AWTDIFF numeric <NA> NA 1331 2
# # 33 ADVS AWLO numeric <NA> NA 1331 3
# # 34 ADVS AWHI numeric <NA> NA 1331 3
# # 35 ADVS AWU character <NA> NA 1331 4
# # 36 ADVS ABLFL character <NA> NA 2869 1
# # 37 ADVS ANL01FL character <NA> NA 448 1
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create import spec
# spc <- import_spec(TRTSDT = "date=%d%b%Y",
# TRTEDT = "date=%d%b%Y")
#
# # Create catalog with import spec
# ct <- catalog(pkg, engines$csv, import_specs = spc)
#
# # View dictionary for ADVS with Import Spec
# ct$ADVS
# # data item 'ADVS': 37 cols 3617 rows
# # - Engine: csv
# # - Size: 1.1 Mb
# # - Last Modified: 2020-09-18 14:30:22
# # Name Column Class Label Format NAs MaxChar
# # 1 ADVS STUDYID character <NA> NA 0 3
# # 2 ADVS USUBJID character <NA> NA 0 10
# # 3 ADVS SUBJID character <NA> NA 0 3
# # 4 ADVS SITEID character <NA> NA 0 2
# # 5 ADVS SRCDOM character <NA> NA 85 2
# # 6 ADVS SRCVAR character <NA> NA 85 8
# # 7 ADVS SRCSEQ numeric <NA> NA 85 2
# # 8 ADVS TRTP character <NA> NA 85 5
# # 9 ADVS TRTPN numeric <NA> NA 85 1
# # 10 ADVS TRTA character <NA> NA 85 5
# # 11 ADVS TRTAN numeric <NA> NA 85 1
# # 12 ADVS RANDFL character <NA> NA 0 1
# # 13 ADVS SAFFL character <NA> NA 0 1
# # 14 ADVS MITTFL character <NA> NA 0 1
# # 15 ADVS PPROTFL character <NA> NA 0 1
# # 16 ADVS TRTSDT Date <NA> NA 54 10 # Converted to Date
# # 17 ADVS TRTEDT Date <NA> NA 119 10 # Converted to Date
# # 18 ADVS ADT character <NA> NA 0 9
# # 19 ADVS ADY numeric <NA> NA 54 4
# # 20 ADVS ADTF logical <NA> NA 3617 0
# # 21 ADVS AVISIT character <NA> NA 50 14
# # 22 ADVS AVISITN numeric <NA> NA 50 2
# # 23 ADVS PARAM character <NA> NA 0 35
# # 24 ADVS PARAMCD character <NA> NA 0 6
# # 25 ADVS PARAMN numeric <NA> NA 0 1
# # 26 ADVS PARAMTYP character <NA> NA 3532 7
# # 27 ADVS AVAL numeric <NA> NA 0 5
# # 28 ADVS BASE numeric <NA> NA 70 5
# # 29 ADVS CHG numeric <NA> NA 1312 4
# # 30 ADVS AWRANGE character <NA> NA 1331 25
# # 31 ADVS AWTARGET numeric <NA> NA 1331 3
# # 32 ADVS AWTDIFF numeric <NA> NA 1331 2
# # 33 ADVS AWLO numeric <NA> NA 1331 3
# # 34 ADVS AWHI numeric <NA> NA 1331 3
# # 35 ADVS AWU character <NA> NA 1331 4
# # 36 ADVS ABLFL character <NA> NA 2869 1
# # 37 ADVS ANL01FL character <NA> NA 448 1
#
## ----eval=FALSE, echo=TRUE----------------------------------------------------
# # Get sample data directory
# pkg <- system.file("extdata", package = "fetch")
#
# # Create import spec
# spc <- import_spec(TRTSDT = "date=%d%b%Y",
# TRTEDT = "date=%d%b%Y")
#
# # Create catalog with import spec
# ct <- catalog(pkg, engines$csv, import_specs = spc)
#
# # View dictionary for ADVS with Import Spec
# ct$ADVS
# # data item 'ADVS': 37 cols 3617 rows
# # - Engine: csv
# # - Size: 1.1 Mb
# # - Last Modified: 2020-09-18 14:30:22
# # Name Column Class Label Format NAs MaxChar
# # 1 ADVS STUDYID character <NA> NA 0 3
# # 2 ADVS USUBJID character <NA> NA 0 10
# # 3 ADVS SUBJID character <NA> NA 0 3
# # 4 ADVS SITEID character <NA> NA 0 2
# # 5 ADVS SRCDOM character <NA> NA 85 2
# # 6 ADVS SRCVAR character <NA> NA 85 8
# # 7 ADVS SRCSEQ numeric <NA> NA 85 2
# # 8 ADVS TRTP character <NA> NA 85 5
# # 9 ADVS TRTPN numeric <NA> NA 85 1
# # 10 ADVS TRTA character <NA> NA 85 5
# # 11 ADVS TRTAN numeric <NA> NA 85 1
# # 12 ADVS RANDFL character <NA> NA 0 1
# # 13 ADVS SAFFL character <NA> NA 0 1
# # 14 ADVS MITTFL character <NA> NA 0 1
# # 15 ADVS PPROTFL character <NA> NA 0 1
# # 16 ADVS TRTSDT Date <NA> NA 54 10
# # 17 ADVS TRTEDT Date <NA> NA 119 10
# # 18 ADVS ADT character <NA> NA 0 9
# # 19 ADVS ADY numeric <NA> NA 54 4
# # 20 ADVS ADTF logical <NA> NA 3617 0
# # 21 ADVS AVISIT character <NA> NA 50 14
# # 22 ADVS AVISITN numeric <NA> NA 50 2
# # 23 ADVS PARAM character <NA> NA 0 35
# # 24 ADVS PARAMCD character <NA> NA 0 6
# # 25 ADVS PARAMN numeric <NA> NA 0 1
# # 26 ADVS PARAMTYP character <NA> NA 3532 7
# # 27 ADVS AVAL numeric <NA> NA 0 5
# # 28 ADVS BASE numeric <NA> NA 70 5
# # 29 ADVS CHG numeric <NA> NA 1312 4
# # 30 ADVS AWRANGE character <NA> NA 1331 25
# # 31 ADVS AWTARGET numeric <NA> NA 1331 3
# # 32 ADVS AWTDIFF numeric <NA> NA 1331 2
# # 33 ADVS AWLO numeric <NA> NA 1331 3
# # 34 ADVS AWHI numeric <NA> NA 1331 3
# # 35 ADVS AWU character <NA> NA 1331 4
# # 36 ADVS ABLFL character <NA> NA 2869 1
# # 37 ADVS ANL01FL character <NA> NA 448 1
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.