ds.matrixDiag: Calculates matrix diagonals in the server-side
In datashield/dsBaseClient: DataSHIELD Client Functions
View source: R/ds.matrixDiag.R
ds.matrixDiag R Documentation
Calculates matrix diagonals in the server-side
Description
Extracts the diagonal vector from a square matrix or
creates a diagonal matrix based on a vector or a scalar value
on the server-side.
Usage
ds.matrixDiag(
x1 = NULL,
aim = NULL,
nrows.scalar = NULL,
newobj = NULL,
datasources = NULL
)
Arguments
x1
a character string specifying
the name of a server-side scalar or vector. Also, a numeric value or vector
specified from the client-side can be speficied. This argument depends
on the value specified in aim.
For more information see Details.
aim
a character string specifying the behaviour of the function.
This can be set as:
"serverside.vector.2.matrix", "serverside.scalar.2.matrix",
"serverside.matrix.2.vector", "clientside.vector.2.matrix"
or "clientside.scalar.2.matrix".
For more information see Details.
nrows.scalar
an integer specifying the dimensions of the matrix
note that the matrix is square (same number of rows and columns).
If this argument is not specified the matrix dimensions are
defined by the length of the vector.
For more information see Details.
newobj
a character string that provides the name for the output
variable that is stored on the data servers. Default matrixdiag.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
The function behaviour is different depending on the
value specified in the aim argument:
(1) If aim = "serverside.vector.2.matrix"
the function takes a server-side vector and writes out a square matrix with
the vector as its diagonal and all off-diagonal values = 0. The dimensions
of the output matrix are determined by the length of the vector.
If the vector length is k, the output matrix has k rows and k columns.
(2) If aim = "serverside.scalar.2.matrix"
the function takes a server-side scalar and writes out a square matrix with all
diagonal values equal to the value of the scalar
and all off-diagonal values = 0. The dimensions of the square
matrix are determined by the value of the nrows.scalar argument.
(3) If aim = "serverside.matrix.2.vector"
the function takes a square server-side matrix and extracts
its diagonal values as a vector which is written to the server-side.
(4) If aim = "clientside.vector.2.matrix"
the function takes a vector specified on the client-side
and writes out a square matrix to the server-side with
the vector as its diagonal and all off-diagonal values = 0. The dimensions
of the output matrix are determined by the length of the vector.
(5) If aim = "clientside.scalar.2.matrix"
the function takes a scalar specified on the client-side
and writes out a square matrix with all diagonal values equal
to the value of the scalar. The dimensions of the square
matrix are determined by the value of the nrows.scalar argument.
If x1 is a vector and the nrows.scalar
is set as k, the vector will be used
repeatedly to fill up the diagonal. For example, the vector is of length
7 and nrows.scalar = 18, a square diagonal matrix with
18 rows and 18 columns will be created.
Server function called: matrixDiagDS
Value
ds.matrixDiag returns to the server-side the square matrix diagonal.
Also, two validity messages are returned
indicating whether the new object 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 square matrix with the server-side vector as its diagonal
#and all the other values = 0
# Create a vector in the server-side
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)
#Calculate the diagonal of the matrix
ds.matrixDiag(x1 = "ss.vector.9",
aim = "serverside.vector.2.matrix",
nrows.scalar = NULL,
newobj = "matrix.diag1",
datasources = connections)
#Example 2: Create a square matrix with the server-side scalar as all diagonal values
and all the other values = 0
#Create a scalar in the server-side
ds.rUnif(samp.size = 1,
min = -10.5,
max = 10.5,
newobj = "ss.scalar",
seed.as.integer = 5575,
force.output.to.k.decimal.places = 0,
datasources = connections)
#Calculate the diagonal of the matrix
ds.matrixDiag(x1 = "ss.scalar",
aim = "serverside.scalar.2.matrix",
nrows.scalar = 4,
newobj = "matrix.diag2",
datasources = connections)
#Example 3: Create a vector that contains the server-side matrix diagonal values
#Create a matrix in the server-side
ds.matrix(mdata = 10,
from = "clientside.scalar",
nrows.scalar = 3,
ncols.scalar = 8,
newobj = "ss.matrix",
datasources = connections)
#Extract the diagonal of the matrix
ds.matrixDiag(x1 = "ss.matrix",
aim = "serverside.matrix.2.vector",
nrows.scalar = NULL,
newobj = "vector.diag3",
datasources = connections)
#Example 4: Create a square matrix with the client-side vector as a diagonal
and all the other values = 0
ds.matrixDiag(x1 = c(2,6,9,10),
aim = "clientside.vector.2.matrix",
nrows.scalar = NULL,
newobj = "matrix.diag4",
datasources = connections)
#Example 5: Create a square matrix with the client-side scalar as all diagonal values
and all the other values = 0
ds.matrixDiag(x1 = 4,
aim = "clientside.scalar.2.matrix",
nrows.scalar = 5,
newobj = "matrix.diag5",
datasources = connections)
# clear the Datashield R sessions and logout
datashield.logout(connections)
## End(Not run)
datashield/dsBaseClient documentation built on May 16, 2023, 10:19 p.m.
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View source: R/ds.matrixDiag.R
| ds.matrixDiag | R Documentation |
Calculates matrix diagonals in the server-side
Description
Extracts the diagonal vector from a square matrix or creates a diagonal matrix based on a vector or a scalar value on the server-side.
Usage
ds.matrixDiag(
x1 = NULL,
aim = NULL,
nrows.scalar = NULL,
newobj = NULL,
datasources = NULL
)
Arguments
x1 |
a character string specifying
the name of a server-side scalar or vector. Also, a numeric value or vector
specified from the client-side can be speficied. This argument depends
on the value specified in |
aim |
a character string specifying the behaviour of the function.
This can be set as:
|
nrows.scalar |
an integer specifying the dimensions of the matrix note that the matrix is square (same number of rows and columns). If this argument is not specified the matrix dimensions are defined by the length of the vector. For more information see Details. |
newobj |
a character string that provides the name for the output
variable that is stored on the data servers. Default |
datasources |
a list of |
Details
The function behaviour is different depending on the
value specified in the aim argument:
(1) If aim = "serverside.vector.2.matrix"
the function takes a server-side vector and writes out a square matrix with
the vector as its diagonal and all off-diagonal values = 0. The dimensions
of the output matrix are determined by the length of the vector.
If the vector length is k, the output matrix has k rows and k columns.
(2) If aim = "serverside.scalar.2.matrix"
the function takes a server-side scalar and writes out a square matrix with all
diagonal values equal to the value of the scalar
and all off-diagonal values = 0. The dimensions of the square
matrix are determined by the value of the nrows.scalar argument.
(3) If aim = "serverside.matrix.2.vector"
the function takes a square server-side matrix and extracts
its diagonal values as a vector which is written to the server-side.
(4) If aim = "clientside.vector.2.matrix"
the function takes a vector specified on the client-side
and writes out a square matrix to the server-side with
the vector as its diagonal and all off-diagonal values = 0. The dimensions
of the output matrix are determined by the length of the vector.
(5) If aim = "clientside.scalar.2.matrix"
the function takes a scalar specified on the client-side
and writes out a square matrix with all diagonal values equal
to the value of the scalar. The dimensions of the square
matrix are determined by the value of the nrows.scalar argument.
If x1 is a vector and the nrows.scalar
is set as k, the vector will be used
repeatedly to fill up the diagonal. For example, the vector is of length
7 and nrows.scalar = 18, a square diagonal matrix with
18 rows and 18 columns will be created.
Server function called: matrixDiagDS
Value
ds.matrixDiag returns to the server-side the square matrix diagonal.
Also, two validity messages are returned
indicating whether the new object 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 square matrix with the server-side vector as its diagonal
#and all the other values = 0
# Create a vector in the server-side
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)
#Calculate the diagonal of the matrix
ds.matrixDiag(x1 = "ss.vector.9",
aim = "serverside.vector.2.matrix",
nrows.scalar = NULL,
newobj = "matrix.diag1",
datasources = connections)
#Example 2: Create a square matrix with the server-side scalar as all diagonal values
and all the other values = 0
#Create a scalar in the server-side
ds.rUnif(samp.size = 1,
min = -10.5,
max = 10.5,
newobj = "ss.scalar",
seed.as.integer = 5575,
force.output.to.k.decimal.places = 0,
datasources = connections)
#Calculate the diagonal of the matrix
ds.matrixDiag(x1 = "ss.scalar",
aim = "serverside.scalar.2.matrix",
nrows.scalar = 4,
newobj = "matrix.diag2",
datasources = connections)
#Example 3: Create a vector that contains the server-side matrix diagonal values
#Create a matrix in the server-side
ds.matrix(mdata = 10,
from = "clientside.scalar",
nrows.scalar = 3,
ncols.scalar = 8,
newobj = "ss.matrix",
datasources = connections)
#Extract the diagonal of the matrix
ds.matrixDiag(x1 = "ss.matrix",
aim = "serverside.matrix.2.vector",
nrows.scalar = NULL,
newobj = "vector.diag3",
datasources = connections)
#Example 4: Create a square matrix with the client-side vector as a diagonal
and all the other values = 0
ds.matrixDiag(x1 = c(2,6,9,10),
aim = "clientside.vector.2.matrix",
nrows.scalar = NULL,
newobj = "matrix.diag4",
datasources = connections)
#Example 5: Create a square matrix with the client-side scalar as all diagonal values
and all the other values = 0
ds.matrixDiag(x1 = 4,
aim = "clientside.scalar.2.matrix",
nrows.scalar = 5,
newobj = "matrix.diag5",
datasources = connections)
# clear the Datashield R sessions and logout
datashield.logout(connections)
## End(Not run)
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