One of slref or anl need to be specified. The conversion from SAS code in filters dataset may not work in all
cases. In case of failure a sensible error message should be returned.
Usage
stream_filter(
slref = NULL,
anl = NULL,
filters,
suffix,
slref_keep = NULL,
usubjid = "USUBJID"
)Arguments
- slref
The subject level data frame (typically
ADSL)- anl
The analysis data frame
- filters
The name of the filters dataset
- suffix
The suffix to apply in quotes (e.g.
"ITT_PFSINV")- slref_keep
Variables to keep from
slref(e.g.c("REGION", "SEX"))- usubjid
The unique subject identifier variable in quotes (e.g.
"USUBJID")
Examples
ADSL <- osprey::rADSL
ADTTE <- osprey::rADTTE
filters <- as.data.frame(rbind(
c(ID = "IT", FLTTARGET = "SLREF", FLTWHERE = "where 1 eq 1"),
c(ID = "BIO", FLTTARGET = "SLREF", FLTWHERE = "where BMRKR1 ge 4.3"),
c(ID = "M", FLTTARGET = "SLREF", FLTWHERE = "where SEX eq 'M'"),
c(ID = "PFS", FLTTARGET = "ANL", FLTWHERE = "where PARAMCD eq 'PFS'"),
c(ID = "OS", FLTTARGET = "ANL", FLTWHERE = "where PARAMCD eq 'OS'")
))
ANL <- stream_filter(
slref = ADSL,
anl = ADTTE,
suffix = "IT_PFS_BIO",
filters = filters
)
#>
#> Filter IT applied
#> SAS code: where 1 eq 1
#> was converted to
#> R code: 1 == 1
#> 400 of 400 observations selected from SLREF
#>
#> Filter PFS applied
#> SAS code: where PARAMCD eq 'PFS'
#> was converted to
#> R code: PARAMCD == 'PFS'
#> 400 of 2000 observations selected from ANL
#>
#> Filter BIO applied
#> SAS code: where BMRKR1 ge 4.3
#> was converted to
#> R code: BMRKR1 >= 4.3
#> 231 of 400 observations selected from SLREF
#>
#> Suffix IT_PFS_BIO was applied
#> 231 of 2000 observations selected from ANL