Uses tie_import
non-binary outcome data as input. The outcome variable is randomized for ties in the continous data.
tie_binarize( xdata = NULL, RF = NULL, CF = NULL, id = NULL, RV = NULL, datalabel = "binarized", compiled_studies = NULL, setseed = TRUE, prefLimit = 50, refval = "refValue", oval = "otherValue", aid = "animalID", fldrnk = "fluid_drunk" )
xdata | imported (binarized) data frame |
---|---|
RF | name of the reference fluid variable |
CF | name of the combination fluid variable |
id | subject IDs |
RV | name of the response variable |
datalabel | universal study label for the binarized data |
compiled_studies | label of the compiled sub study (used for filtering) |
setseed | TRUE/FALSE for seeding |
prefLimit | preference limit for binarization threshold |
refval | the name of the standardized reference variable in the org data |
oval | the name of the standardized combination variable in the org data |
aid | the name of the standardized animal id column in the org data |
fldrnk | the name of the standardizedresponse variable in the org data |
binarized data in the default format (colum headers)