diff --git a/R/plot-compare.R b/R/plot-compare.R
index 2320f7c..152751b 100644
--- a/R/plot-compare.R
+++ b/R/plot-compare.R
@@ -46,9 +46,9 @@ plot_compare <- function(fits, labels = NULL, year = NULL,
         gm1 <- geo_mean(df1$Mean)
         gm2 <- geo_mean(df2$Mean)
         fout$Mean <- fout$Mean / gm2 * gm1
-        fout$Qlower <- fout$Qlower / gm2  * gm1
-        fout$Qupper <- fout$Qupper / gm2  * gm1
-        fout$Median <- fout$Median / gm2  * gm1
+        fout$Qlower <- fout$Qlower / gm2 * gm1
+        fout$Qupper <- fout$Qupper / gm2 * gm1
+        fout$Median <- fout$Median / gm2 * gm1
         df0[[i]] <- fout
       }
     }
diff --git a/R/rescale-index.R b/R/rescale-index.R
index edd9705..41b6b53 100644
--- a/R/rescale-index.R
+++ b/R/rescale-index.R
@@ -7,8 +7,22 @@
 #' @import dplyr
 #' @export
 #' 
-rescale_index <- function(idx1, idx2) {
+rescale_index <- function(fit1, fit2, rescale_series = 1) {
+  
+  for (i in 1:length(fits)) {
+    if (i != rescale_series) {
+      fout <- df0[[i]]
+      df1 <- df0[[rescale_series]] %>% filter(Year %in% fout$Year)
+      df2 <- df0[[i]] %>% filter(Year %in% df1$Year)
+      gm1 <- geo_mean(df1$Mean)
+      gm2 <- geo_mean(df2$Mean)
+      fout$Mean <- fout$Mean / gm2 * gm1
+      fout$Qlower <- fout$Qlower / gm2 * gm1
+      fout$Qupper <- fout$Qupper / gm2 * gm1
+      fout$Median <- fout$Median / gm2 * gm1
+      df0[[i]] <- fout
+    }
+  }
   
-
   return(coefs)
 }