dh.anyData: Describe whether variables are completely missing for each...

In lifecycle-project/ds-cs-functions: Helper Functions for Use with 'DataSHIELD'

Describe whether variables are completely missing for each cohort

Description

When performing a Study Level Meta Analysis of coefficients, it is usually necessary that all cohorts have some data on all variables in the model. Manually identifying which cohorts have some data on required variables is time-consuming and at risk of error. This function automatically generates a look-up table with this information.

Usage

dh.anyData(df = NULL, vars = NULL, conns = NULL, checks = TRUE)

Arguments

df	Character specifying a server-side data frame.
vars	Character vector of columns within df.
conns	DataSHIELD connections object.
checks	Logical; if TRUE checks are performed prior to running the function. Default is TRUE.

Value

Client-side tibble containing columns for each variable and rows for each cohort indicating if the variable is not completely missing.

See Also

Other descriptive functions: dh.classDiscrepancy(), dh.createTableOne(), dh.getStats(), dh.lmTab(), dh.meanByGroup()

lifecycle-project/ds-cs-functions documentation built on Nov. 18, 2024, 3:36 p.m.