ji.ds.isNA: Indicates which elements are missing
In datashield/ji.dev.cl: ji.dev.cl

Description Usage Arguments Value Author(s) Examples

This function is similar to R function is.na.

1	ji.ds.isNA(datasources = NULL, x = NULL, newobj = NULL)

`datasources`	a list of opal object(s) obtained after login in to opal servers; these objects hold also the data assign to R, as `dataframe`, from opal datasources.
`x`	an object to be tested
`newobj`	the name of the new vector.If this argument is set to `NULL`, the name of the new variable is the name of the input variable with the suffixe '_isna' (e.g. 'LAB_TSC_isna', if input variable's name is 'LAB_TSC')

a message is displayed when the action is completed.

Gaye, A. (amadou.gaye

{

# load that contains the login details
data(logindata)

# login and assign specific variable(s)
opals <- datashield.login(logins=logindata,assign=TRUE)

# Create a vector which indicates missing values in the LAB_TSC variable
ji.ds.isNA(datasources=opals, x=quote(D$LAB_TSC))

# Create a matrix indicating missing observations in D
ji.ds.isNA(datasources=opals, x=quote(D))
}