Nothing
library(clinUtils)
data(dataADaMCDISCP01)
dataLB <- dataADaMCDISCP01$ADLBC
# filter and annotate data
processData(
data = dataLB,
processing = list(
list(filter = list(var = "ANL01FL", value = "Y")),
list(annotate = list(vars = "ANRIND", varFct = 'factor(ANRIND, levels = c("L", "N", "H"))'))
)
)
## multiple filtering steps:
# If these are specified in the same 'filter' step condition, these are considered independently,
# and the selected records combined with an 'AND' operator.
# Example: consider only records:
# - with analysis flag AND
# - from subject with high/low measurement (for all records) for each parameter
processData(
data = dataLB,
processing = list(
list(filter = list(
list(var = "ANL01FL", value = "Y"),
list(var = "ANRIND", value = c("L", "H"),
postFct = any, varsBy = c("USUBJID", "PARAM"))
)
)
)
)
# a custom operator to combine the selected records can be specified
# Example: consider only records:
# - with analysis flag OR
# - from subject with high/low measurement (for all records) for each parameter
processData(
data = dataLB,
processing = list(
list(filter = list(
list(var = "ANL01FL", value = "Y"),
"|",
list(var = "ANRIND", value = c("L", "H"),
postFct = any, varsBy = c("USUBJID", "PARAM"))
)
)
)
)
# If the filtering conditions are specified in different filtering steps, these are
# considered sequentially.
# Example:
# 1) consider only analysis records and
# 2) from these records, consider only subject with high/low measurement for
# each parameter
processData(
data = dataLB,
processing = list(
list(filter = list(var = "ANL01FL", value = "Y")),
list(filter = list(var = "ANRIND", value = c("L", "H"),
postFct = any, varsBy = c("USUBJID", "PARAM")))
)
)
# Note for this particular
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