The number of missing data on each exposure and on each phenotype can be found by using the function ds.tableMissings. This function returns a vector with the amount of missing data in each exposure or phenotype. The argument set indicates if the number of missing values is counted on exposures or phenotypes. The argument output indicates if it is shown as counts (output="n") or as percentage (output="p").

expos <- ds.tableMissings("exposome_object", set = "exposures")
phenos <- ds.tableMissings("exposome_object", set = "phenotypes")

Optionally, there's also the ds.plotMissings function which returns a ggplot object with a barplot of missings for exposures or phenotypes, there's the option of displaying the percentage of missings as well as total counts, check the function documentation for further information.

ds.plotMissings(expos)
ds.plotMissings(phenos)

Please note that since this function call returns a ggplot object, it can be plotted properly to avoid squished Y axis when there are lots of exposures, read the official documentation for information on how to do that.



isglobal-brge/dsExposomeClient documentation built on March 5, 2024, 12:26 p.m.