diff --git a/R/comparePredictions.R b/R/comparePredictions.R
index b3bf8f4..dcefa90 100644
--- a/R/comparePredictions.R
+++ b/R/comparePredictions.R
@@ -61,8 +61,8 @@ comparePredictions_summaryDT <- function(scfmDriverPars = NULL,
     ## This is a long way of saying 'sum of fires / (flammable landscape * fire epoch)'.
     ## hist_mfs will be NaN if there were no fires larger than one pixel
 
-    #median fire size is not used by scfm but is worth recording
-    #regimes where mean is much greater than median will be hard to recreate
+    ## median fire size is not used by scfm but is worth recording
+    ## regimes where mean is much greater than median will be hard to recreate
     escaped <- fireRegimePoints[fireRegimePoints$SIZE_HA > landscapeAttr$cellSize,]
     medianFireSize <- median(escaped$SIZE_HA) #should be no need for na.rm
 
@@ -111,8 +111,8 @@ comparePredictions_summaryDT <- function(scfmDriverPars = NULL,
                        "achievedIgnitions" = achievedIgnitions,
                        "targetEscapes" = targetEscapes,
                        "achievedEscapes" = achievedEscapes,
-                       "pEscape" = regime$pEscape, #escape prob (no. fires > cellSize / no. fires)
-                       "p0" = driver$p0,  #p0 and pEscape may indicate something incorrect
+                       "pEscape" = regime$pEscape, ## escape prob (no. fires > cellSize / no. fires)
+                       "p0" = driver$p0,  ## p0 and pEscape may indicate something incorrect
                        "pSpread" = pSpread, ## spread probability estimated from the SCAM model
                        "pIgnition" = pIg) ## ignition probability of a single pixel
     return(pred)
@@ -133,7 +133,8 @@ comparePredictions_meanFireSize <- function(dt) {
 
   ggplot(dt, aes(x = histMeanSize, y = modMeanSize)) +
     geom_point(aes(histMeanSize, modMeanSize)) +
-    labs(x = "historical mean fire size", y = "modeled mean fire size") +
+    xlab("historical mean fire size") +
+    ylab("modeled mean fire size") +
     theme_bw() +
     scale_y_continuous(limits = c(0, NA)) +
     scale_x_continuous(limits = c(0, NA)) +
@@ -214,14 +215,15 @@ comparePredictions_annualEscapes <- function(dt) {
 
 #' @export
 #' @rdname comparePredictions
-comparePredictions_fireDistribution <- function(dt){
+comparePredictions_fireDistribution <- function(dt) {
   if (any(is.null(dt))) {
     stop("all arguments must be provided and cannot be NULL.")
   }
 
   ggplot(dt, aes(x = histMedianSize, y = histMeanSize)) +
     geom_point() +
-    labs(y = "estimated mean fire size (ha)", x = "estimated median fire size (ha)") +
+    xlab("estimated median fire size (ha)") +
+    ylab("estimated mean fire size (ha)") +
     theme_bw() +
     geom_abline(slope = 1) +
     scale_y_continuous(limits = c(0, NA)) +
diff --git a/R/utils_scfmRegime.R b/R/utils_scfmRegime.R
index 0a04e77..e00eca7 100644
--- a/R/utils_scfmRegime.R
+++ b/R/utils_scfmRegime.R
@@ -29,8 +29,7 @@ calcZonalRegimePars <- function(polygonID, firePolys,
                                 targetBurnRate = NULL,
                                 targetMaxFireSize = NULL) {
 
-  idx <- firePolys$PolyID == polygonID
-  tmpA <- firePoints[firePoints$PolyID == as.numeric(polygonID),]
+  tmpA <- firePoints[firePoints$PolyID == as.numeric(polygonID), ]
   landAttr <- landscapeAttr[[polygonID]]
   cellSize = landAttr[["cellSize"]]
   nFires <- dim(tmpA)[1]
@@ -134,8 +133,8 @@ calcZonalRegimePars <- function(polygonID, firePolys,
 
   ## max fire size is returned twice - I think this is a backwards compatibility decision
   return(list(
-    ignitionRate = rate, #per ha per yr
-    pEscape = pEscape,
+    ignitionRate = rate,   ## per ha per yr
+    pEscape = pEscape,     ## escape probability
     xBar = xBar,           ## mean fire size
     lxBar = lxBar,         ## mean log(fire size)
     xMax = xMax,           ## maximum observed size