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ds.abs.R
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88 lines (83 loc) · 3.91 KB
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#'
#' @title Computes the absolute values of a variable
#' @description Computes the absolute values for a specified numeric or integer vector.
#' This function is similar to R function \code{abs}.
#' @details The function calls the server-side function \code{absDS} that computes the
#' absolute values of the elements of a numeric or integer vector and assigns a new vector
#' with those absolute values on the server-side. The name of the new generated vector is
#' specified by the user through the argument \code{newobj}, otherwise is named by default to
#' \code{abs.newobj}.
#' @param x a character string providing the name of a numeric or an integer vector.
#' @param newobj a character string that provides the name for the output variable
#' that is stored on the data servers. Default name is set to \code{abs.newobj}.
#' @param datasources a list of \code{\link[DSI]{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[DSI]{datashield.connections_default}}.
#' @return \code{ds.abs} assigns a vector for each study that includes the absolute values of
#' the input numeric or integer vector specified in the argument \code{x}. The created vectors
#' are stored in the servers.
#' @author Demetris Avraam for DataSHIELD Development Team
#' @export
#' @examples
#' \dontrun{
#'
#' # 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()
#'
#' # Log onto the remote Opal training servers
#' connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
#'
#' # Example 1: Generate a normally distributed variable with zero mean and variance equal
#' # to one and then get their absolute values
#' ds.rNorm(samp.size=100, mean=0, sd=1, newobj='var.norm', datasources=connections)
#' # check the quantiles
#' ds.summary(x='var.norm', datasources=connections)
#' ds.abs(x='var.norm', newobj='var.norm.abs', datasources=connections)
#' # check now the changes in the quantiles
#' ds.summary(x='var.norm.abs', datasources=connections)
#'
#' # Example 2: Generate a sequence of negative integer numbers from -200 to -100
#' # and then get their absolute values
#' ds.seq(FROM.value.char = '-200', TO.value.char = '-100', BY.value.char = '1',
#' newobj='negative.integers', datasources=connections)
#' # check the quantiles
#' ds.summary(x='negative.integers', datasources=connections)
#' ds.abs(x='negative.integers', newobj='positive.integers', datasources=connections)
#' # check now the changes in the quantiles
#' ds.summary(x='positive.integers', datasources=connections)
#'
#' # clear the Datashield R sessions and logout
#' datashield.logout(connections)
#'
#' }
#'
ds.abs <- function(x=NULL, newobj=NULL, datasources=NULL){
datasources <- .set_datasources(datasources)
if(is.null(x)){
stop("Please provide the name of the input object!", call.=FALSE)
}
if(is.null(newobj)){
newobj <- "abs.newobj"
}
cally <- call("absDS", x)
DSI::datashield.assign(datasources, newobj, cally)
}