ds.isNA | R Documentation |
this function is similar to R function is.na
but instead of a vector
of booleans it returns just one boolean to tell if all the elements are missing values.
ds.isNA(x = NULL, datasources = NULL)
x |
a character string specifying the name of the vector to check. |
datasources |
a list of |
In certain analyses such as GLM none of the variables should be missing at complete (i.e. missing value for each observation). Since in DataSHIELD it is not possible to see the data it is important to know whether or not a vector is empty to proceed accordingly.
Server function called: isNaDS
ds.isNA
returns a boolean. If it is TRUE the vector is empty
(all values are NA), FALSE otherwise.
DataSHIELD Development Team
## Not run:
## Version 6, for version 5 see the Wiki
# connecting to the Opal servers
require('DSI')
require('DSOpal')
require('dsBaseClient')
builder <- DSI::newDSLoginBuilder()
builder$append(server = "study1",
url = "http://192.168.56.100:8080/",
user = "administrator", password = "datashield_test&",
table = "CNSIM.CNSIM1", driver = "OpalDriver")
builder$append(server = "study2",
url = "http://192.168.56.100:8080/",
user = "administrator", password = "datashield_test&",
table = "CNSIM.CNSIM2", driver = "OpalDriver")
builder$append(server = "study3",
url = "http://192.168.56.100:8080/",
user = "administrator", password = "datashield_test&",
table = "CNSIM.CNSIM3", driver = "OpalDriver")
logindata <- builder$build()
connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
# check if all the observation of the variable 'LAB_HDL' are missing (NA)
ds.isNA(x = 'D$LAB_HDL',
datasources = connections) #all servers are used
ds.isNA(x = 'D$LAB_HDL',
datasources = connections[1]) #only the first server is used (study1)
# clear the Datashield R sessions and logout
datashield.logout(connections)
## End(Not run)
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