Ensures the input to the statistical function is in the proper format, and enruse the output is formated to the need of the AMNOG workflow.
Usage
p_val(
dat,
event_index,
cell_index,
treatment_var,
treatment_refval,
subjectid_var,
safe_mode = FALSE,
threshold_lower = 5,
threshold_upper = 200,
...
)Arguments
- dat
data.table. The analysis data set.
- event_index
vector of integers that index the rows in
datthat match the definition of an 'event'. Matching is done via theINDEX_column indat.- cell_index
A vector of integers referencing the rows of
dat(as specified by theINDEX_column indat) that match the population to be analyzed. See the "Endpoint Events" vignette in ramnog for more information.- treatment_var
character. The name of the treatment variable in the data.
- treatment_refval
character. The reference value of the treatment variable in the data.
- subjectid_var
character. Name of the subject identifier variable in the data (default is "USUBJID").
- safe_mode
Boolean determing if the function should fail when given input that cannot be calculated (
safe_mode = TRUE), or if it should silently return aNAvalue (default).- threshold_lower
numeric. Lower threshold limit for selecting Fischer vs. Barnard.
- threshold_upper
numeric. Upper threshold limit for selecting Fischer vs. Barnard.
- ...
Optional parameters.
Examples
dat <- data.table::data.table(
USUBJID = c("S1", "S2", "S3", "S4", "S5", "S6"),
TRT = c("Active", "Active", "Active", "Placebo", "Placebo", "Placebo")
)
dat[, INDEX_ := .I]
#> USUBJID TRT INDEX_
#> <char> <char> <int>
#> 1: S1 Active 1
#> 2: S2 Active 2
#> 3: S3 Active 3
#> 4: S4 Placebo 4
#> 5: S5 Placebo 5
#> 6: S6 Placebo 6
data.table::setkey(dat, INDEX_)
p_val(dat, event_index = c(1L, 2L, 4L), cell_index = dat[["INDEX_"]],
treatment_var = "TRT", treatment_refval = "Placebo",
subjectid_var = "USUBJID")
#> ----- Calculating Barnards test - this may take a minute
#> label description qualifiers value
#> <char> <char> <char> <num>
#> 1: p-value Barnard's test <NA> 0.6875
