ds.isValid | R Documentation |
Checks if a vector or table structure has a number of observations equal to or greater than the threshold set by DataSHIELD.
ds.isValid(x = NULL, datasources = NULL)
x |
a character string specifying the name of a vector, dataframe or matrix. |
datasources |
a list of |
In DataSHIELD, analyses are possible only on valid objects to ensure the output is not disclosive. This function checks if an input object is valid. A vector is valid if the number of observations is equal to or greater than a set threshold. A factor vector is valid if all its levels (categories) have a count equal or greater than the set threshold. A data frame or a matrix is valid if the number of rows is equal or greater than the set threshold.
Server function called: isValidDS
ds.isValid
returns a boolean. If it is TRUE input object is valid, 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 the dataframe assigned above is valid ds.isValid(x = 'D', datasources = connections) #all servers are used ds.isValid(x = 'D', datasources = connections[2]) #only the second server is used (study2) # clear the Datashield R sessions and logout datashield.logout(connections) ## End(Not run)
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