#' @title Creates a server-side Survival fit (survfit) object for use in Cox proportional hazards model.
#' @description Creates a server side Survival fit (survfit) object,
#' @details This is a function that creates a server side survfit object.
#' This is to be used in plotting results from survival analysis using the Cox
#' proportional hazards model.
#'
#' Server function called: \code{survfitDS}.
#'
#' @param formula character string
#' specifying the formula to be used in survival::survfit() on the server-side.
#' For more information see \strong{Details}.
#' @param objectname character string of name of new server-side object which will
#' store object of class survival::Surv()
#' @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{SurvDS} returns to the client-side a Surv() obejct for use in
#' the Cox proportional hazards model
#' @author Soumya Banerjee and Tom Bishop, 2021
#' @examples
#' \dontrun{
#'
#' ## Version 2.0
#'
#' # connecting to the Opal servers
#'
#' require('DSI')
#' require('DSOpal')
#' require('dsBaseClient')
#'
#' builder <- DSI::newDSLoginBuilder()
#' builder$append(server = "study1",
#' url = "http://192.168.56.100:8080/",
#' user = "administrator", password = "datashield_test&",
#' table = "SURVIVAL.EXPAND_NO_MISSING1", driver = "OpalDriver")
#' builder$append(server = "study2",
#' url = "http://192.168.56.100:8080/",
#' user = "administrator", password = "datashield_test&",
#' table = "SURVIVAL.EXPAND_NO_MISSING2", driver = "OpalDriver")
#' builder$append(server = "study3",
#' url = "http://192.168.56.100:8080/",
#' user = "administrator", password = "datashield_test&",
#' table = "SURVIVAL.EXPAND_NO_MISSING3", driver = "OpalDriver")
#' logindata <- builder$build()
#'
#' connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
#'
#' # make sure that the outcome is numeric
#' ds.asNumeric(x.name = "D$cens",
#' newobj = "EVENT",
#' datasources = connections)
#'
#' ds.asNumeric(x.name = "D$survtime",
#' newobj = "SURVTIME",
#' datasources = connections)
#'
#' dsSurvivalClient::ds.Surv('SURVTIME', 'EVENT', 'surv_object')
#' dsSurvivalClient::ds.coxph.SLMA(formula = 'surv_object~D$age+D$female')
#' dsSurvivalClient::ds.survfit(formula='surv_object',object='survfit_object')
#'
#' # clear the Datashield R sessions and logout
#' datashield.logout(connections)
#' }
#'
#' @export
ds.survfit <- function(formula = NULL,
objectname = NULL,
datasources = NULL)
{
# look for DS connections
# if one not provided then get current
if(is.null(datasources))
{
datasources <- DSI::datashield.connections_find()
}
# verify that 'formula' was set
if(is.null(formula))
{
stop(" Please provide a valid formula for use in survival::survfit()", call.=FALSE)
}
# convert to type formula
formula = stats::as.formula(formula)
#####################################################################
# Logic for parsing formula: since this need to be passed
# to parser, we need to remove special symbols
# On the server-side function (coxphSLMADS) this needs
# to be reconstructed
# formula as text, then split at pipes to avoid triggering parser
#####################################################################
formula <- Reduce(paste, deparse(formula))
formula <- gsub("survival::Surv(", "sssss", formula, fixed = TRUE)
formula <- gsub("|", "xxx", formula, fixed = TRUE)
formula <- gsub("(", "yyy", formula, fixed = TRUE)
formula <- gsub(")", "zzz", formula, fixed = TRUE)
formula <- gsub("/", "ppp", formula, fixed = TRUE)
formula <- gsub(":", "qqq", formula, fixed = TRUE)
formula <- gsub(",", "rrr", formula, fixed = TRUE)
formula <- gsub(" ", "", formula, fixed = TRUE)
formula <- gsub("=", "lll", formula, fixed = TRUE)
# "survival::Surv(time=SURVTIME,event=EVENT)~D$female"
# gets converted to EVENTzzz ~ D$female
# cat(formula)
# convert to formula otherwise we get parser error
formula <- stats::as.formula(formula)
# construct call to call()
calltext <- call("survfitDS", formula)
# call aggregate function
output <- DSI::datashield.assign(conns = datasources, value = calltext, symbol = objectname) # 'surv_object')
# return summary of coxph model
# output <- NULL
return(output)
}
#ds.survfit
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