View source: R/ds.completeCases.R
ds.completeCases | R Documentation |
Selects complete cases of a data frame, matrix or vector that contain missing values.
ds.completeCases(x1 = NULL, newobj = NULL, datasources = NULL)
x1 |
a character denoting the name of the input object which can be a data frame, matrix or vector. |
newobj |
a character string that provides the name for the complete-cases object that is stored on the data servers. If the user does not specify a name, then the function generates a name for the generated object that is the name of the input object with the suffix "_complete.cases" |
datasources |
a list of |
In the case of a data frame or matrix, ds.completeCases
deletes
all rows containing one or more missing values. However ds.completeCases
in vectors only deletes the observation recorded as NA.
Server function called: completeCasesDS
ds.completeCases
generates a modified data frame, matrix or vector from which
all rows containing at least one NA have been deleted. The output object is stored on the
server-side. Only two validity messages are returned to the client-side indicating the name
of the newobj
that has been created in each data source and if it is in a valid form.
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() # Log onto the remote Opal training servers connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D") # Select complete cases from different R objects ds.completeCases(x1 = "D", #data frames in the Opal servers #(see above the connection to the Opal servers) newobj = "D.completeCases", # name for the output object # that is stored in the Opal servers datasources = connections) # All Opal servers are used # (see above the connection to the Opal servers) ds.completeCases(x1 = "D$LAB_TSC", #vector (variable) of the data frames in the Opal servers #(see above the connection to the Opal servers) newobj = "LAB_TSC.completeCases", #name for the output variable #that is stored in the Opal servers datasources = connections[2]) #only the second Opal server is used ("study2") # Clear the Datashield R sessions and logout datashield.logout(connections) ## End(Not run)
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