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ds.matrixInvert.R
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ds.matrixInvert.R
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#' @title Inverts a server-side square matrix
#' @description Inverts a square matrix and writes the output to the server-side
#' @details 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: \code{matrixInvertDS}
#' @param M1 A character string specifying the name of the matrix to be inverted.
#' @param newobj a character string that provides the name for the output
#' variable that is stored on the data servers.
#' Default \code{matrixinvert.newobj}.
#' @param datasources a list of \code{\link{DSConnection-class}}
#' objects obtained after login. If the \code{datasources} argument is not specified
#' the default set of connections will be used: see \code{\link{datashield.connections_default}}.
#' @return \code{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.
#' @author DataSHIELD Development Team
#' @examples
#' \dontrun{
#'
#' ## 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)
#' }
#' @export
#'
ds.matrixInvert<-function(M1=NULL, newobj=NULL, datasources=NULL){
# look for DS connections
if(is.null(datasources)){
datasources <- datashield.connections_find()
}
# ensure datasources is a list of DSConnection-class
if(!(is.list(datasources) && all(unlist(lapply(datasources, function(d) {methods::is(d,"DSConnection")}))))){
stop("The 'datasources' were expected to be a list of DSConnection-class objects", call.=FALSE)
}
# check if user has provided the name of matrix representing M1
if(is.null(M1)){
return("Error: Please provide the name of the matrix representing M1")
}
# if no value specified for output object, then specify a default
if(is.null(newobj)){
newobj <- "matrixinvert.newobj"
}
# CALL THE MAIN SERVER SIDE FUNCTION
calltext <- call("matrixInvertDS", M1)
DSI::datashield.assign(datasources, newobj, calltext)
#############################################################################################################
#DataSHIELD CLIENTSIDE MODULE: CHECK KEY DATA OBJECTS SUCCESSFULLY CREATED #
#
#SET APPROPRIATE PARAMETERS FOR THIS PARTICULAR FUNCTION #
test.obj.name<-newobj #
#
#TRACER #
#return(test.obj.name) #
#} #
#
#
# CALL SEVERSIDE FUNCTION #
calltext <- call("testObjExistsDS", test.obj.name) #
#
object.info<-DSI::datashield.aggregate(datasources, calltext) #
#
# CHECK IN EACH SOURCE WHETHER OBJECT NAME EXISTS #
# AND WHETHER OBJECT PHYSICALLY EXISTS WITH A NON-NULL CLASS #
num.datasources<-length(object.info) #
#
#
obj.name.exists.in.all.sources<-TRUE #
obj.non.null.in.all.sources<-TRUE #
#
for(j in 1:num.datasources){ #
if(!object.info[[j]]$test.obj.exists){ #
obj.name.exists.in.all.sources<-FALSE #
} #
if(is.null(object.info[[j]]$test.obj.class) || ("ABSENT" %in% object.info[[j]]$test.obj.class)){ #
obj.non.null.in.all.sources<-FALSE #
} #
} #
#
if(obj.name.exists.in.all.sources && obj.non.null.in.all.sources){ #
#
return.message<- #
paste0("A data object <", test.obj.name, "> has been created in all specified data sources") #
#
#
}else{ #
#
return.message.1<- #
paste0("Error: A valid data object <", test.obj.name, "> does NOT exist in ALL specified data sources") #
#
return.message.2<- #
paste0("It is either ABSENT and/or has no valid content/class,see return.info above") #
#
return.message.3<- #
paste0("Please use ds.ls() to identify where missing") #
#
#
return.message<-list(return.message.1,return.message.2,return.message.3) #
#
} #
#
calltext <- call("messageDS", test.obj.name) #
studyside.message<-DSI::datashield.aggregate(datasources, calltext) #
#
no.errors<-TRUE #
for(nd in 1:num.datasources){ #
if(studyside.message[[nd]]!="ALL OK: there are no studysideMessage(s) on this datasource"){ #
no.errors<-FALSE #
} #
} #
#
#
if(no.errors){ #
validity.check<-paste0("<",test.obj.name, "> appears valid in all sources") #
return(list(is.object.created=return.message,validity.check=validity.check)) #
} #
#
if(!no.errors){ #
validity.check<-paste0("<",test.obj.name,"> invalid in at least one source. See studyside.messages:") #
return(list(is.object.created=return.message,validity.check=validity.check, #
studyside.messages=studyside.message)) #
} #
#
#END OF CHECK OBJECT CREATED CORECTLY MODULE #
#############################################################################################################
}
#ds.matrixInvert