diff --git a/R/internal.R b/R/internal.R
index ab9664a..8c87607 100644
--- a/R/internal.R
+++ b/R/internal.R
@@ -278,8 +278,8 @@
                      average = 100 *
                        as.numeric(stats::prop.test(x, n)$estimate),
                      se = abs(average -
-                       (100 * as.numeric(stats::prop.test(x, n)$conf.int)[1])
-                       )) %>%
+                         (100 * as.numeric(stats::prop.test(x, n)$conf.int)[1])
+                    )) %>%
     dplyr::ungroup()
 
   # To create ellipsis shape and avoid overlapping between both of them,
diff --git a/R/internal_winOdds.R b/R/internal_winOdds.R
index 2bbddbc..6d4f051 100644
--- a/R/internal_winOdds.R
+++ b/R/internal_winOdds.R
@@ -77,7 +77,7 @@
     wins <- calcs_lst[[i]]$wins
     nm <- c("value", "LCL", "UCL", "p value")
     f <- rbind(data.frame(setNames(wins$WO, nm), "method" = "win odds"),
-          data.frame(setNames(wins$WR1, nm), "method" = "win ratio"))
+               data.frame(setNames(wins$WR1, nm), "method" = "win ratio"))
     f$GROUP <- labs[i]
     return(f)
   }))
diff --git a/R/winOddsPlots.R b/R/winOddsPlots.R
index 15988bf..14c4a7e 100644
--- a/R/winOddsPlots.R
+++ b/R/winOddsPlots.R
@@ -169,8 +169,7 @@ cumulative_plot <- function(x, ...) {
 }
 
 #' @export
-cumulative_plot.default <- function(x,
-                                   ...) {
+cumulative_plot.default <- function(x, ...) {
   paste0("cumulative_plot() function can only handle inputs of class ",
          "'hce' or 'maraca'. Your input has class ", class(x), ".")
 }
@@ -209,9 +208,7 @@ cumulative_plot.default <- function(x,
 #' cumulative_plot(maraca_dat)
 #'
 #' @export
-cumulative_plot.maraca <- function(x,
-                                  theme = "maraca",
-                                  ...) {
+cumulative_plot.maraca <- function(x, theme = "maraca", ...) {
 
   # Check that win odds were calculated for the maraca object
   if (is.null(x[["wins_forest"]]) || is.null(x[["wo_bar"]])) {
@@ -279,11 +276,11 @@ cumulative_plot.maraca <- function(x,
 #' @export
 #'
 cumulative_plot.hce <- function(x, last_outcome = "C",
-                               arm_levels = c(active = "A", control = "P"),
-                               fixed_followup_days = NULL,
-                               theme = "maraca",
-                               continuous_outcome = lifecycle::deprecated(),
-                               ...) {
+                                arm_levels = c(active = "A", control = "P"),
+                                fixed_followup_days = NULL,
+                                theme = "maraca",
+                                continuous_outcome = lifecycle::deprecated(),
+                                ...) {
 
   # Create maraca object
   maraca_dat <- .maraca_from_hce_data(x, last_outcome, arm_levels,