ds.dim {dsBaseClient}

R Documentation

Retrieves the dimension of a server-side R object

Description

Gives the dimensions of an R object on the server-side. This function is similar to R function dim.

Usage

ds.dim(x = NULL, type = "both", checks = FALSE, datasources = NULL)

Arguments

x	a character string providing the name of the input object.
type	a character string that represents the type of analysis to carry out. If type is set to 'combine', 'combined', 'combines' or 'c', the global dimension is returned. If type is set to 'split', 'splits' or 's', the dimension is returned separately for each study. If type is set to 'both' or 'b', both sets of outputs are produced. Default 'both'.
checks	logical. If TRUE undertakes all DataSHIELD checks (time-consuming). Default FALSE.
datasources	a list of DSConnection-class objects obtained after login. If the datasources argument is not specified the default set of connections will be used: see datashield.connections_default.

Details

The function returns the dimension of the server-side input object (e.g. array, matrix or data frame) from every single study and the pooled dimension of the object by summing up the individual dimensions returned from each study.

In checks parameter is suggested that checks should only be undertaken once the function call has failed.

Server function called: dimDS

Value

ds.dim retrieves to the client-side the dimension of the object in the form of a vector where the first element indicates the number of rows and the second element indicates the number of columns.

Author(s)

DataSHIELD Development Team

See Also

ds.dataFrame to generate a table of the type data frame.

ds.changeRefGroup to change the reference level of a factor.

ds.colnames to obtain the column names of a matrix or a data frame

ds.asMatrix to coerce an object into a matrix type.

ds.length to obtain the size of a vector.

Examples

## 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") 
  

  # Calculate the dimension
  ds.dim(x="D", 
         type="combine", #global dimension
         checks = FALSE,
         datasources = connections)#all opal servers are used
  ds.dim(x="D",
         type = "both",#separate dimension for each study
                       #and the pooled dimension (default) 
         checks = FALSE,
         datasources = connections)#all opal servers are used
  ds.dim(x="D", 
         type="split", #separate dimension for each study
         checks = FALSE,
         datasources = connections[1])#only the first opal server is used ("study1")

  # clear the Datashield R sessions and logout
  datashield.logout(connections)


## End(Not run)

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