ds.matrix {dsBaseClient}R Documentation

Creates a matrix on the server-side

Description

Creates a matrix on the server-side with dimensions specified by nrows.scalar and ncols.scalar arguments and assigns the values of all its elements based on the mdata argument.

Usage

ds.matrix(
  mdata = NA,
  from = "clientside.scalar",
  nrows.scalar = NULL,
  ncols.scalar = NULL,
  byrow = FALSE,
  dimnames = NULL,
  newobj = NULL,
  datasources = NULL
)

Arguments

mdata

a character string specifying the name of a server-side scalar or vector. Also, a numeric value representing a scalar specified from the client-side can be speficied. Zeros, negative values and NAs are all allowed. For more information see Details.

from

a character string specifying the source and nature of mdata. This can be set as "serverside.vector", "serverside.scalar" or "clientside.scalar". Default "clientside.scalar".

nrows.scalar

an integer or a character string that specifies the number of rows in the matrix to be created. For more information see Details.

ncols.scalar

an integer or a character string that specifies the number of columns in the matrix to be created.

byrow

logical. If TRUE and mdata is a vector the matrix created should be filled row by row. If FALSE the matrix created should be filled column by column. Default = FALSE.

dimnames

a list of length 2 giving the row and column names respectively.

newobj

a character string that provides the name for the output variable that is stored on the data servers. Default matrix.newobj.

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

This function is similar to the R native function matrix().

If in the mdata argument a vector is specified this should have the same length as the total number of elements in the matrix. If this is not TRUE the values in mdata will be used repeatedly until all elements in the matrix are full. If mdata argument is a scalar, all elements in the matrix will take that value.

In the nrows.scalar argument can be a character string specifying the name of a server-side scalar. For example, if a server-side scalar named ss.scalar exists and holds the value 23, then by specifying nrows.scalar = "ss.scalar", the matrix created will have 23 rows. Also this argument can be a numeric value from the client-side. The same rules are applied to ncols.scalar argument but in this case the column numbers are specified. In both arguments a zero, negative, NULL or missing value is not permitted.

Server function called: matrixDS

Value

ds.matrix returns the created matrix which is written on the server-side. In addition, two validity messages are returned indicating whether the new matrix has been created in each data source and if so whether it is in a valid form.

Author(s)

DataSHIELD Development Team

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") 
  
  #Example 1: create a matrix with -13 value in all elements
  
  ds.matrix(mdata = -13,
            from = "clientside.scalar",
            nrows.scalar = 3,
            ncols.scalar = 8,
            newobj = "cs.block",
            datasources = connections)
            
  #Example 2: create a matrix of missing values 

  ds.matrix(NA,
            from = "clientside.scalar",
            nrows.scalar = 4,
            ncols.scalar = 5,
            newobj = "cs.block.NA",
            datasources = connections)

  #Example 3: create a matrix using a server-side vector
  #create a vector in the server-side
  
  ds.rUnif(samp.size = 45,
           min = -10.5,
           max = 10.5,
           newobj = "ss.vector",
           seed.as.integer = 8321,
           force.output.to.k.decimal.places = 0,
           datasources = connections)
           
  ds.matrix(mdata = "ss.vector",
            from = "serverside.vector",
            nrows.scalar = 5,
            ncols.scalar = 9,
            newobj = "sv.block",
            datasources = connections)
            
  #Example 4: create a matrix using a server-side vector and specifying
  #the row a column names

  ds.rUnif(samp.size = 9,
           min = -10.5,
           max = 10.5,
           newobj = "ss.vector.9",
           seed.as.integer = 5575,
           force.output.to.k.decimal.places = 0,
           datasources = connections)
           
  ds.matrix(mdata = "ss.vector.9",
            from = "serverside.vector",
            nrows.scalar = 5,
            ncols.scalar = 9,
            byrow = TRUE,
            dimnames = list(c("a","b","c","d","e")),
            newobj = "sv.block.9.dimnames1",
            datasources = connections)

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

## End(Not run)


[Package dsBaseClient version 6.1.1 ]