V7.0 dev feat/performance

.Rbuildignore

@@ -17,8 +17,8 @@
 ^R/secure.global.ranking.md$
 ^_pkgdown\.yml$
 ^docs$
-^dsBase_6.3.5.tar.gz$
-^dsBase_6.3.5-permissive.tar.gz$
+^dsBase_7.0-dev-feat_performance\.tar\.gz$
+^dsBase_7.0-dev-feat_performance-permissive\.tar\.gz$
 ^dsDanger_6.3.4.tar.gz$
 ^\.circleci$
 ^\.circleci/config\.yml$

NAMESPACE

@@ -89,7 +89,6 @@ export(ds.rBinom)
 export(ds.rNorm)
 export(ds.rPois)
 export(ds.rUnif)
-export(ds.ranksSecure)
 export(ds.rbind)
 export(ds.reShape)
 export(ds.recodeLevels)

R/ds.colnames.R

@@ -1,51 +1,51 @@
 #'
 #' @title Produces column names of the R object in the server-side
-#' @description Retrieves column names of an R object on the server-side.
+#' @description Retrieves column names of an R object on the server-side.  
 #' This function is similar to R function \code{colnames}.
-#' @details The input is restricted to the object of type \code{data.frame} or \code{matrix}.
-#'
+#' @details The input is restricted to the object of type \code{data.frame} or \code{matrix}. 
+#' 
 #' Server function called: \code{colnamesDS}
 #' @param x a character string providing the name of the input data frame or matrix.
-#' @param datasources a list of \code{\link[DSI]{DSConnection-class}} objects obtained after login.
+#' @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.colnames} returns the column names of
-#' the specified server-side data frame or matrix.
+#' @return \code{ds.colnames} returns the column names of 
+#' the specified server-side data frame or matrix. 
 #' @author DataSHIELD Development Team
 #' @seealso \code{\link{ds.dim}} to obtain the dimensions of a matrix or a data frame.
-#' @examples
+#' @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$append(server = "study1",
-#'                  url = "http://192.168.56.100:8080/",
-#'                  user = "administrator", password = "datashield_test&",
+#'   builder$append(server = "study1", 
+#'                  url = "http://192.168.56.100:8080/", 
+#'                  user = "administrator", password = "datashield_test&", 
 #'                  table = "CNSIM.CNSIM1", driver = "OpalDriver")
-#'   builder$append(server = "study2",
-#'                  url = "http://192.168.56.100:8080/",
-#'                  user = "administrator", password = "datashield_test&",
+#'   builder$append(server = "study2", 
+#'                  url = "http://192.168.56.100:8080/", 
+#'                  user = "administrator", password = "datashield_test&", 
 #'                  table = "CNSIM.CNSIM2", driver = "OpalDriver")
 #'   builder$append(server = "study3",
-#'                  url = "http://192.168.56.100:8080/",
-#'                  user = "administrator", password = "datashield_test&",
+#'                  url = "http://192.168.56.100:8080/", 
+#'                  user = "administrator", password = "datashield_test&", 
 #'                  table = "CNSIM.CNSIM3", driver = "OpalDriver")
 #'   logindata <- builder$build()
-#'
+#'   
 #'   # Log onto the remote Opal training servers
-#'   connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
-#'
+#'   connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D") 
+#' 
 #'   # Getting column names of the R objects stored in the server-side
 #'   ds.colnames(x = "D",
 #'               datasources = connections[1]) #only the first server ("study1") is used
 #'   # Clear the Datashield R sessions and logout
-#'   datashield.logout(connections)
+#'   datashield.logout(connections) 
 #' }
 #' @export
 #'
@@ -65,6 +65,17 @@ ds.colnames <- function(x=NULL, datasources=NULL) {
     stop("Please provide the name of a data.frame or matrix!", call.=FALSE)
   }
 
+  # check if the input object(s) is(are) defined in all the studies
+  defined <- isDefined(datasources, x)
+
+  # call the internal function that checks the input object is of the same class in all studies.
+  typ <- checkClass(datasources, x)
+
+  # if the input object is not a matrix or a dataframe stop
+  if(!('data.frame' %in% typ) & !('matrix' %in% typ)){
+    stop("The input vector must be of type 'data.frame' or a 'matrix'!", call.=FALSE)
+  }
+
   cally <- call("colnamesDS", x)
   column_names <- DSI::datashield.aggregate(datasources, cally)