View source: R/ds.matrixInvert.R
ds.matrixInvert | R Documentation |
Inverts a square matrix and writes the output to the server-side
ds.matrixInvert(M1 = NULL, newobj = NULL, datasources = NULL)
M1 |
A character string specifying the name of the matrix to be inverted. |
newobj |
a character string that provides the name for the output
variable that is stored on the data servers.
Default |
datasources |
a list of |
This operation is only possible if the number of columns and rows of the matrix are the same and it is non-singular-positive definite (e.g. there is no row or column that is all zeros).
Server function called: matrixInvertDS
ds.matrixInvert
returns to the server-side the inverts square matrix.
Also, two validity messages are returned to the client-side
indicating whether the new object has been created in each data source and if so whether
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()
connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
#Example 1: Invert the server-side matrix
#Create the server-side vector
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)
#Create the server-side matrix
ds.matrix(mdata = "ss.vector.9",
from = "serverside.vector",
nrows.scalar = 3,
ncols.scalar = 4,
byrow = TRUE,
newobj = "matrix",
datasources = connections)
#Invert the matrix
ds.matrixInvert(M1 = "matrix",
newobj = "matrix.invert",
datasources = connections)
# clear the Datashield R sessions and logout
datashield.logout(connections)
## End(Not run)
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