pik-piam · orichters · Oct 2, 2023 · Sep 19, 2023 · Oct 2, 2023 · Oct 2, 2023
diff --git a/R/reportCapacity.R b/R/reportCapacity.R
@@ -316,5 +316,6 @@ reportCapacity <- function(gdx, regionSubsetList = NULL, t = c(seq(2005, 2060, 5
   if (!is.null(regionSubsetList))
     tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
 
+  getSets(tmp)[3] <- "variable"
   return(tmp)
 }
diff --git a/R/reportCapitalStock.R b/R/reportCapitalStock.R
@@ -127,5 +127,6 @@ reportCapitalStock <- function(gdx,regionSubsetList=NULL,t=c(seq(2005,2060,5),se
     if (!is.null(regionSubsetList))
       tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
 
+    getSets(tmp)[3] <- "variable"
     return(tmp)
 }
diff --git a/R/reportCosts.R b/R/reportCosts.R
@@ -656,6 +656,7 @@ reportCosts <- function(gdx,output=NULL,regionSubsetList=NULL,t=c(seq(2005,2060,
   # add other region aggregations
   if (!is.null(regionSubsetList))
     tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
-
+
+  getSets(tmp)[3] <- "variable"
   return(tmp)
 }
diff --git a/R/reportCrossVariables.R b/R/reportCrossVariables.R
@@ -477,5 +477,6 @@ reportCrossVariables <- function(gdx, output = NULL, regionSubsetList = NULL,
             could not be calculated for this regional resolution")
   }
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportEmi.R b/R/reportEmi.R
@@ -2524,9 +2524,6 @@ reportEmi <- function(gdx, output = NULL, regionSubsetList = NULL, t = c(seq(200
 
   out <- mbind(out, out.cumul)
 
-
-
-
+  getSets(out)[3] <- "variable"
   return(out)
-
 }
diff --git a/R/reportEmiAirPol.R b/R/reportEmiAirPol.R
@@ -618,5 +618,6 @@ reportEmiAirPol <- function(gdx,regionSubsetList=NULL,t=c(seq(2005,2060,5),seq(2
 
   } else {stop("not allowed AP-realization")}  
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportEmployment.R b/R/reportEmployment.R
@@ -264,5 +264,6 @@ remFilter <- remFilter[, , c("New Cap|Electricity|Hydro", "Cap|Electricity|Hydro
 
   jobs <- mbind(jobsCi, jobsOm, jobsProd, jobsManf)
 
+  getSets(jobs)[3] <- "variable"
   return(jobs)
 }
diff --git a/R/reportEnergyInvestment.R b/R/reportEnergyInvestment.R
@@ -215,5 +215,6 @@ reportEnergyInvestment <- function(gdx, regionSubsetList = NULL, t = c(seq(2005,
   if (!is.null(regionSubsetList))
     tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
 
+  getSets(tmp)[3] <- "variable"
   return(tmp)
 }
diff --git a/R/reportExtraction.R b/R/reportExtraction.R
@@ -282,5 +282,6 @@ grades[is.na(grades)] <- 0
   if (!is.null(regionSubsetList))
     out <- mbind(out, calc_regionSubset_sums(out, regionSubsetList))
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportFE.R b/R/reportFE.R
@@ -1741,5 +1741,6 @@ reportFE <- function(gdx, regionSubsetList = NULL,
     )
   }
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportLCOE.R b/R/reportLCOE.R
@@ -1,7 +1,7 @@
 #' Read in GDX and calculate LCOE reporting used in convGDX2MIF_LCOE.
 #'
 #' This function provides a post-processing calculation of LCOE (Levelized Cost of Energy) for energy conversion technologies in REMIND.
-#' In incluldes most technologies that generate secondary energy and the distribution technologies which convert secondary energy to final energy.
+#' It includes most technologies that generate secondary energy and the distribution technologies which convert secondary energy to final energy.
 #' This script calculates two different types of LCOE: average LCOE (standing system) and marginal LCOE (new plant).
 #' The average LCOE reflect the total cost incurred by the technology deployment in a specific time step divided by its energy output.
 #' The marginal LCOE estimate the per-unit lifetime cost of the output if the model added another capacity of that technology in the respective time step.
@@ -1599,8 +1599,3 @@ reportLCOE <- function(gdx, output.type = "both"){
 
  return(LCOE.out)
 }
-
-
-
-
-
diff --git a/R/reportMacroEconomy.R b/R/reportMacroEconomy.R
@@ -403,5 +403,6 @@ reportMacroEconomy <- function(gdx, regionSubsetList = NULL,
   }
   # add interest rate
   out <- mbind(out, inteRate)
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportPE.R b/R/reportPE.R
@@ -194,6 +194,7 @@ reportPE <- function(gdx,regionSubsetList=NULL,t=c(seq(2005,2060,5),seq(2070,211
   # add other region aggregations
   if (!is.null(regionSubsetList))
     out <- mbind(out, calc_regionSubset_sums(out, regionSubsetList))
-
+
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportPolicyCosts.R b/R/reportPolicyCosts.R
@@ -94,6 +94,7 @@ reportPolicyCosts <- function(gdx,gdx_ref,regionSubsetList=NULL,t=c(seq(2005,206
   # add other region aggregations
   if (!is.null(regionSubsetList))
     tmp <- mbind(tmp, calc_regionSubset_sums(tmp, regionSubsetList))
-
+
+  getSets(tmp)[3] <- "variable"
   return(tmp)
 }
diff --git a/R/reportPrices.R b/R/reportPrices.R
@@ -1129,5 +1129,6 @@ reportPrices <- function(gdx, output=NULL, regionSubsetList=NULL,
   #   out <- mbind(out, tmp2)
   # }
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportSDPVariables.R b/R/reportSDPVariables.R
@@ -221,6 +221,6 @@ reportSDPVariables <- function(
   output <- mbind(output,addUEperCapForBuildings(output))
   output <- mbind(output,addIntensityUE(output))
 
-
+  getSets(output)[3] <- "variable"
   return(output)
 }
diff --git a/R/reportSE.R b/R/reportSE.R
@@ -490,5 +490,6 @@ reportSE <- function(gdx, regionSubsetList = NULL, t = c(seq(2005, 2060, 5), seq
   if (!is.null(regionSubsetList))
     out <- mbind(out, calc_regionSubset_sums(out, regionSubsetList))
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportTax.R b/R/reportTax.R
@@ -312,5 +312,6 @@ reportTax <- function(gdx,output=NULL,regionSubsetList=NULL,t=c(seq(2005,2060,5)
   out["GLO",,vars] <- NA
   out[names(regionSubsetList),,vars] <- NA
 
+  getSets(out)[3] <- "variable"
   return(out)
 }
diff --git a/R/reportTechnology.R b/R/reportTechnology.R
@@ -385,5 +385,6 @@ reportTechnology <- function(gdx, output = NULL, regionSubsetList = NULL, t = c(
 
   tmp[is.na(tmp)] <- 0  # tmp is NA if weight is zero for all regions within the GLO or the specific region aggregation. Therefore, we replace all NAs with zeros.
 
+  getSets(tmp)[3] <- "variable"
   return(tmp)
 }
diff --git a/R/reportTrade.R b/R/reportTrade.R
@@ -132,13 +132,8 @@ reportTrade <- function(gdx,regionSubsetList=NULL,t=c(seq(2005,2060,5),seq(2070,
   tmp <- mbind(tmp,setNames(trade[,,"perm"] * price[,,"perm"] * 1000,                         "Trade|Emi Allowances|Value (billion US$2005/yr)"))
   tmp <- mbind(tmp,setNames(dimSums( trade[,,set_trade] * price[,,set_trade],dim = 3) * 1000, "Trade|All|Value (billion US$2005/yr)"))
   tmp <- mbind(tmp,setNames(dimSums( trade[,,set_trade] * price[,,set_trade],dim = 3),        "Current Account (billion US$2005/yr)"))
-
-
-
-
-
-  # rename dimensions in the magpie object 
-  names(dimnames(tmp))[3] = 'variable'
-
+
+  # rename dimensions in the magpie object
+  getSets(tmp)[3] <- "variable"
   return(tmp)
 }
diff --git a/man/reportLCOE.Rd b/man/reportLCOE.Rd