diff --git a/NEWS.md b/NEWS.md
index 38e03d1..dc7d1d3 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -4,6 +4,8 @@
 
 - Handle correlation of exactly zero or 1 in `network_plot()` (@s-scherrer, #89)
 
+- Add `.order` argument to `rplot()` with options "default" and "alphabet" (@mattwarkentin, #99)
+
 # corrr 0.4.2
 
 - Updates to work with tibble 3.0.0  and dplyr 1.0.0
diff --git a/R/cor_df.R b/R/cor_df.R
index 1afef5c..531532b 100644
--- a/R/cor_df.R
+++ b/R/cor_df.R
@@ -95,7 +95,7 @@ focus_if.cor_df <- function(x, .predicate, ..., mirror = FALSE) {
   to_keep <- map_lgl(
     x[, colnames(x) != "rowname"],
     .predicate, ...
-    )
+  )
 
   to_keep <- names(to_keep)[!is.na(to_keep) & to_keep]
 
@@ -114,7 +114,10 @@ rplot.cor_df <- function(rdf,
                          shape = 16,
                          colours = c("indianred2", "white", "skyblue1"),
                          print_cor = FALSE,
-                         colors) {
+                         colors,
+                         .order = c("default", "alphabet")) {
+
+  .order <- match.arg(.order)
 
   if (!missing(colors))
     colours <- colors
@@ -127,6 +130,11 @@ rplot.cor_df <- function(rdf,
   pd$size = abs(pd$r)
   pd$label = fashion(pd$r)
 
+  if(.order == "default") {
+    pd$x <- factor(pd$x, levels = row_order)
+    pd$y <- factor(pd$y, levels = rev(row_order))
+  }
+
   plot_ <- list(
     # Geoms
     geom_point(shape = shape),
@@ -230,8 +238,8 @@ network_plot.cor_df <- function(rdf,
     scale_colour_gradientn(limits = c(-1, 1), colors = colours),
     # Plot the points
     geom_point(data = points,
-                        aes(x, y),
-                        size = 3, shape = 19, colour = "white"),
+               aes(x, y),
+               size = 3, shape = 19, colour = "white"),
     # Plot variable labels
     if (repel) ggrepel::geom_text_repel(data = points,
                                         aes(x, y, label = id),
@@ -243,9 +251,9 @@ network_plot.cor_df <- function(rdf,
                           fontface = 'bold', size = 5),
     # expand the axes to add space for curves
     expand_limits(x = c(min(points$x) - .1,
-                                 max(points$x) + .1),
-                           y = c(min(points$y) - .1,
-                                 max(points$y) + .1)
+                        max(points$x) + .1),
+                  y = c(min(points$y) - .1,
+                        max(points$y) + .1)
     ),
     # Theme and legends
     theme_void(),
diff --git a/R/output.R b/R/output.R
index cbd57ec..0dfc5a4 100644
--- a/R/output.R
+++ b/R/output.R
@@ -69,10 +69,15 @@ fashion.default <- function(x, decimals = 2, leading_zeros = FALSE, na_print = "
 #'
 #' @param rdf Correlation data frame (see \code{\link{correlate}}) or object
 #'   that can be coerced to one (see \code{\link{as_cordf}}).
-#' @param legend Boolean indicating whether a legend mapping the colors to the correlations should be displayed.
+#' @param legend Boolean indicating whether a legend mapping the colors to the
+#'   correlations should be displayed.
 #' @param shape \code{\link{geom_point}} aesthetic.
-#' @param print_cor Boolean indicating whether the correlations should be printed over the shapes.
+#' @param print_cor Boolean indicating whether the correlations should be
+#'   printed over the shapes.
 #' @param colours,colors Vector of colors to use for n-color gradient.
+#' @param .order Either "default", meaning x and y variables keep the same order
+#'   as the columns in \code{x}, or "alphabet", meaning the variables are
+#'   alphabetized.
 #' @return Plots a correlation data frame
 #' @export
 #' @examples
@@ -90,7 +95,9 @@ rplot <- function(rdf,
                   shape = 16,
                   colours = c("indianred2", "white", "skyblue1"),
                   print_cor = FALSE,
-                  colors) {
+                  colors,
+                  .order = c("default", "alphabet")) {
+  .order <- match.arg(.order)
   UseMethod("rplot")
 }
 
diff --git a/R/reshape.R b/R/reshape.R
index 38ff362..e50f3c9 100644
--- a/R/reshape.R
+++ b/R/reshape.R
@@ -9,8 +9,8 @@
 #' function, see \code{\link[dplyr]{select}}.
 #'
 #' @param x cor_df. See \code{\link{correlate}}.
-#' @param ...  One or more unquoted expressions separated by commas. Variable 
-#'  names can be used as if they were positions in the data frame, so 
+#' @param ...  One or more unquoted expressions separated by commas. Variable
+#'  names can be used as if they were positions in the data frame, so
 #'  expressions like `x:y`` can be used to select a range of variables.
 #' @param .dots Use focus_ to do standard evaluations. See \code{\link[dplyr]{select}}.
 #' @param mirror Boolean. Whether to mirror the selected columns in the rows or
@@ -32,7 +32,7 @@ focus <- function(x, ..., mirror = FALSE) {
     .dots = ...,
     ... = ...,
     mirror = mirror
-    )
+  )
 }
 
 #' Returns a correlation table with the selected fields only
diff --git a/man/figures/README-combination-1.png b/man/figures/README-combination-1.png
index 125e851..da3395e 100644
Binary files a/man/figures/README-combination-1.png and b/man/figures/README-combination-1.png differ
diff --git a/man/focus.Rd b/man/focus.Rd
index 4cc8a0f..5022d3e 100644
--- a/man/focus.Rd
+++ b/man/focus.Rd
@@ -12,8 +12,8 @@ focus_(x, ..., .dots, mirror)
 \arguments{
 \item{x}{cor_df. See \code{\link{correlate}}.}
 
-\item{...}{One or more unquoted expressions separated by commas. Variable 
-names can be used as if they were positions in the data frame, so 
+\item{...}{One or more unquoted expressions separated by commas. Variable
+names can be used as if they were positions in the data frame, so
 expressions like `x:y`` can be used to select a range of variables.}
 
 \item{mirror}{Boolean. Whether to mirror the selected columns in the rows or
diff --git a/man/network_plot.Rd b/man/network_plot.Rd
index acef095..0f74271 100644
--- a/man/network_plot.Rd
+++ b/man/network_plot.Rd
@@ -21,7 +21,8 @@ that can be coerced to one (see \code{\link{as_cordf}}).}
 \item{min_cor}{Number from 0 to 1 indicating the minimum value of
 correlations (in absolute terms) to plot.}
 
-\item{legend}{Boolean indicating whether a legend mapping the colors to the correlations should be displayed.}
+\item{legend}{Boolean indicating whether a legend mapping the colors to the
+correlations should be displayed.}
 
 \item{colours, colors}{Vector of colors to use for n-color gradient.}
 
diff --git a/man/rplot.Rd b/man/rplot.Rd
index 7364864..7b20712 100644
--- a/man/rplot.Rd
+++ b/man/rplot.Rd
@@ -10,20 +10,27 @@ rplot(
   shape = 16,
   colours = c("indianred2", "white", "skyblue1"),
   print_cor = FALSE,
-  colors
+  colors,
+  .order = c("default", "alphabet")
 )
 }
 \arguments{
 \item{rdf}{Correlation data frame (see \code{\link{correlate}}) or object
 that can be coerced to one (see \code{\link{as_cordf}}).}
 
-\item{legend}{Boolean indicating whether a legend mapping the colors to the correlations should be displayed.}
+\item{legend}{Boolean indicating whether a legend mapping the colors to the
+correlations should be displayed.}
 
 \item{shape}{\code{\link{geom_point}} aesthetic.}
 
 \item{colours, colors}{Vector of colors to use for n-color gradient.}
 
-\item{print_cor}{Boolean indicating whether the correlations should be printed over the shapes.}
+\item{print_cor}{Boolean indicating whether the correlations should be
+printed over the shapes.}
+
+\item{.order}{Either "default", meaning x and y variables keep the same order
+as the columns in \code{x}, or "alphabet", meaning the variables are
+alphabetized.}
 }
 \value{
 Plots a correlation data frame