diff --git a/R-package/R/initializer.R b/R-package/R/initializer.R
index 40712432d8b6..bb81a285beaa 100644
--- a/R-package/R/initializer.R
+++ b/R-package/R/initializer.R
@@ -3,7 +3,7 @@
 #' @param name the name of the variable.
 #' @param shape the shape of the array to be generated.
 #'
-mx.init.internal.default <- function(name, shape, ctx, allow.unknown=FALSE) {
+mx.init.internal.default <- function(name, shape, ctx, allow.unknown = FALSE) {
   if (endsWith(name, "bias")) return (mx.nd.zeros(shape))
   if (endsWith(name, "gamma")) return (mx.nd.ones(shape))
   if (endsWith(name, "beta")) return (mx.nd.zeros(shape))
@@ -19,7 +19,7 @@ mx.init.internal.default <- function(name, shape, ctx, allow.unknown=FALSE) {
 #'
 #' @export
 mx.init.uniform <- function(scale) {
-  function(name, shape, ctx, allow.unknown=FALSE) {
+  function(name, shape, ctx, allow.unknown = FALSE) {
     if (!endsWith(name, "weight")) {
       return (mx.init.internal.default(name = name, shape = shape, allow.unknown = allow.unknown))
     }
@@ -33,7 +33,7 @@ mx.init.uniform <- function(scale) {
 #'
 #' @export
 mx.init.normal <- function(sd) {
-  function(name, shape, ctx, allow.unknown=FALSE) {
+  function(name, shape, ctx, allow.unknown = FALSE) {
     if (!endsWith(name, "weight")) {
       return (mx.init.internal.default(name = name, shape = shape, allow.unknown = allow.unknown))
     }
@@ -59,15 +59,15 @@ mx.init.Xavier <- function(rnd_type = "uniform", factor_type = "avg",
       return (mx.init.internal.default(name = name, shape = shape, allow.unknown = allow.unknown))
     }
     
-    fan_out = shape[length(shape)]
-    fan_in  = prod(shape[-length(shape)])
+    fan_out <- shape[length(shape)]
+    fan_in <- prod(shape[-length(shape)])
     factor_val <- switch(factor_type,
                          "avg" = (fan_in + fan_out) / 2,
                          "in" = fan_in,
                          "out" = fan_out,
                          stop("Not supported factor type. See usage of function mx.init.Xavier"))
 
-    scale = sqrt(magnitude / factor_val)
+    scale <- sqrt(magnitude / factor_val)
     
     if (rnd_type == "uniform"){
       return(mx.nd.random.uniform(low = -scale, high = scale, shape = shape))
@@ -83,14 +83,16 @@ mx.init.Xavier <- function(rnd_type = "uniform", factor_type = "avg",
 #' Create initialization of argument  like arg.array
 #'
 #' @param initializer The initializer.
-#' @param shape.array named-list The shape of the weights
+#' @param shape.array A named list that represents the shape of the weights
 #' @param ctx mx.context The context of the weights
 #' @param skip.unknown Whether skip the unknown weight types
 #' @export
-mx.init.create <- function(initializer, shape.array, ctx=NULL, skip.unknown=TRUE) {
+mx.init.create <- function(initializer, shape.array, ctx = NULL, skip.unknown = TRUE) {
   if (length(shape.array) == 0) return(list())
-  names = names(shape.array)
-  ret <- lapply(seq_along(names), function(i) initializer(names[[i]], shape.array[[i]], ctx, allow.unknown=skip.unknown))
+  names <- names(shape.array)
+  ret <- lapply(
+    seq_along(names),
+    function(i) initializer(names[[i]], shape.array[[i]], ctx, allow.unknown = skip.unknown))
   names(ret) <- names
   if (skip.unknown) {
     ret <- mx.util.filter.null(ret)