#' @title Remote clogit
#' @description Executes clogit \{survival\} on the remote nodes
#' @param ... arguments to be sent to clogit.
#' Note, the data argument must be a character, the name of the input dataframe.
#' @param async same as in datashield.assign
#' @param wait same as in datashield.assign
#' @param datasources same as in datashield.assign
#' @return A stripped down clogit model (without the call and the residuals)
#'
#' @examples
#' # open a local pseudo connection:
#' opals <- dssCreatePseudoServers(servers = 1, tie_first_to_GlobalEnv = 1)
#' # load the infert dataset
#' datashield.aggregate(opals[1], as.symbol('partialData("infert")'))
#' clogit.model <- dssClogit(formula = case ~ spontaneous + induced + stratum, data='infert', datasources = opals[1])
#' summary(clogit.model$local1)
#'
#' @export
#'
dssClogit <- function(..., async = TRUE, wait = TRUE, datasources = NULL){
if(is.null(datasources)){
datasources <- dsBaseClient_findLoginObjects()
}
arglist <- list(...) # pass the args list almost as is to clogit on the local nodes
if(typeof(arglist$formula) == 'language'){
arglist$formula <- Reduce(paste, deparse(arglist$formula)) # Reduce for formulas longer than 60 chars - deparse splits them into a vector
}
arglist <- .encode.arg(arglist)
cally <- paste0('clogitDSS("', arglist, '")')
opal::datashield.aggregate(datasources, as.symbol(cally), async = async, wait = wait)
}
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