diff --git a/R/convert_output.R b/R/convert_output.R
index ba3d1283..9778fc08 100644
--- a/R/convert_output.R
+++ b/R/convert_output.R
@@ -2190,9 +2190,9 @@ convert_output <- function(
   # temporarily add call to local csv so I can test
   # con_file <- glue::glue("~/GitHub/stockplotr/inst/resources/{model}_var_names.csv")
   var_names_sheet <- utils::read.csv(con_file, na.strings = "")
-  
+
   if (tolower(model) == "bam") {
-    var_names_sheet <- var_names_sheet |> 
+    var_names_sheet <- var_names_sheet |>
       dplyr::mutate(label = tolower(label))
   }
 
diff --git a/R/process_data.R b/R/process_data.R
index ec5b5087..bc7f6c12 100644
--- a/R/process_data.R
+++ b/R/process_data.R
@@ -534,7 +534,7 @@ process_table <- function(
       dplyr::rename(
         !!mod_uncert_lab := uncertainty
       ) |>
-    # set values to strings to include trailing zeros from rounding and     # format large estimate values with commas
+      # set values to strings to include trailing zeros from rounding and     # format large estimate values with commas
       dplyr::mutate(estimate = formatC(estimate, format = "f", digits = digits, big.mark = ",")) |>
       tidyr::pivot_wider(
         id_cols = dplyr::all_of(c(stringr::str_to_title(mod_cols))),
diff --git a/R/table_index.R b/R/table_index.R
index 19880a80..3c67358c 100644
--- a/R/table_index.R
+++ b/R/table_index.R
@@ -48,18 +48,17 @@
 #' )
 #' }
 table_index <- function(
-    dat,
-    era = NULL,
-    interactive = TRUE,
-    group = NULL,
-    method = "sum",
-    module = NULL,
-    label = NULL,
-    digits = 2,
-    make_rda = FALSE,
-    tables_dir = getwd()
-    ) {
-  
+  dat,
+  era = NULL,
+  interactive = TRUE,
+  group = NULL,
+  method = "sum",
+  module = NULL,
+  label = NULL,
+  digits = 2,
+  make_rda = FALSE,
+  tables_dir = getwd()
+) {
   # TODO: do group and facet need to be uncommented and updated?
   # Filter data for landings
   prepared_data <- filter_data(
@@ -71,14 +70,16 @@ table_index <- function(
     scale_amount = 1,
     interactive = interactive
   ) |>
-    dplyr::mutate(estimate = round(as.numeric(estimate), digits = digits),
-                  uncertainty = round(as.numeric(uncertainty), digits = digits))
-  
+    dplyr::mutate(
+      estimate = round(as.numeric(estimate), digits = digits),
+      uncertainty = round(as.numeric(uncertainty), digits = digits)
+    )
+
   # Add check if there is any data
   if (nrow(prepared_data) == 0) {
     cli::cli_abort("No index data found.")
   }
-  
+
   # get uncertainty label by model
   uncert_lab <- prepared_data |>
     dplyr::filter(!is.na(uncertainty_label)) |>
@@ -86,22 +87,22 @@ table_index <- function(
     dplyr::reframe(unique_uncert = unique(uncertainty_label)) # changed to reframe -- may cause errors
   uncert_lab <- stats::setNames(uncert_lab$unique_uncert, uncert_lab$model)
   # if (length(unique(uncert_lab)) == 1) uncert_lab <- unique(uncert_lab) # might need this line
-  
+
   # This needs to be adjusted when comparing different models and diff error
   if (length(uncert_lab) > 1 & length(unique(uncert_lab)) == 1 | length(names(uncert_lab)) == 1) { # prepared_data$model
     # cli::cli_alert_warning("More than one value for uncertainty exists: {uncert_lab}")
     uncert_lab <- uncert_lab[[1]]
     # cli::cli_alert_warning("The first value ({uncert_lab}) will be chosen.")
   }
-  
+
   if (is.na(uncert_lab)) uncert_lab <- "uncertainty"
-  
+
   # get fleet names
   # TODO: change from fleets to id_group AFTER the process data step and adjust throughout the table based on indexing
   fleets <- unique(prepared_data$fleet) |>
     # sort numerically even if fleets are 100% characters
     stringr::str_sort(numeric = TRUE)
-  
+
   # TODO: fix this so that fleet names aren't removed if, e.g., group = "fleet"
   table_data_info <- process_table(
     dat = prepared_data,
@@ -113,12 +114,12 @@ table_index <- function(
   table_data <- table_data_info[[1]]
   indexed_vars <- table_data_info[[2]]
   id_col_vals <- table_data_info[[3]]
-  
+
   # id_group_vals <- sapply(id_cols, function(x) unique(prepared_data[[x]]), simplify = FALSE)
   # TODO: add check if there is a index column for every error column -- if not remove the error (can keep index)
-  
+
   # if (uncert_lab != "") uncert_lab <- glue::glue("({uncert_lab})")
-  
+
   # merge error and index columns and rename
   df_list <- merge_error(
     table_data,
@@ -126,31 +127,30 @@ table_index <- function(
     unit_label = "", # should this be CPUE?
     uncert_lab
   )
-  
+
   # transform dfs into tables
   final <- lapply(df_list, function(df) {
     df |>
       gt::gt() |>
       add_theme()
   })
-  
+
   # export figure to rda if argument = T
   if (make_rda == TRUE) {
-    
     # Caption contains no key quantities for index table
     # So, export captions/alt text csv if absent
     if (!file.exists(fs::path(getwd(), "captions_alt_text.csv"))) {
       caps_alttext <- utils::read.csv(
         system.file("resources", "captions_alt_text_template.csv", package = "stockplotr")
       )
-    # export df with captions and alt text to csv
-    utils::write.csv(
-      x = caps_alttext,
-      file = fs::path(getwd(), "captions_alt_text.csv"),
-      row.names = FALSE
-      )    
+      # export df with captions and alt text to csv
+      utils::write.csv(
+        x = caps_alttext,
+        file = fs::path(getwd(), "captions_alt_text.csv"),
+        row.names = FALSE
+      )
     }
-  
+
     if (length(df_list) == 1) {
       create_rda(
         object = final$label,
@@ -168,7 +168,7 @@ table_index <- function(
     cli::cli_alert_warning("Multiple tables cannot be exported at this time.")
     cli::cli_alert_info("We are currently developing this feature.")
   }
-  
+
   # Send table(s) to viewer
   if (!is.data.frame(table_data)) {
     for (t in final) {
diff --git a/R/utils_table.R b/R/utils_table.R
index 0250d354..0aa9f65a 100644
--- a/R/utils_table.R
+++ b/R/utils_table.R
@@ -185,7 +185,7 @@ check_label_differences <- function(dat, index_variables, id_group = NULL) {
 #' @param uncert_lab uncertainty label. Typically inherited from another function
 #' but is the exact string of the uncertainty in the data (e.g., "sd", "se", "cv",
 #' "uncertainty").)
-#' @param id_col_vals A list of variables identifying grouping of the data and 
+#' @param id_col_vals A list of variables identifying grouping of the data and
 #' their unique values.
 #' @param unit_label String. The units of the estimate being presented in the table.
 #'
@@ -194,11 +194,11 @@ check_label_differences <- function(dat, index_variables, id_group = NULL) {
 #' to reduce redundancy in the table.
 #'
 merge_error <- function(
-    table_data,
-    id_col_vals,
-    unit_label,
-    uncert_lab
-    ) {
+  table_data,
+  id_col_vals,
+  unit_label,
+  uncert_lab
+) {
   # TODO: change fleets to grouping when the data is indexed by factors other than fleet
   lapply(table_data, function(tab_dat) {
     label_cols <- names(tab_dat)[-c(1, grep(glue::glue("^{uncert_lab}"), names(tab_dat)))]
@@ -211,12 +211,13 @@ merge_error <- function(
         tolower(l_col),
         paste(
           stringr::str_escape(unlist(id_col_vals, use.names = FALSE)),
-          collapse = "|")
+          collapse = "|"
         )
-      
+      )
+
       # Identify which uncert col aligns with l_col
       uncert_col <- uncert_cols[grep(l_col, uncert_cols)]
-      
+
       # adjust tab dat to combine the uncert_col value into the l_col = l_col (uncert_col)
       tab_dat <- tab_dat |>
         dplyr::mutate(
@@ -226,7 +227,7 @@ merge_error <- function(
             # maybe not good practice to insert dash?
             # ifelse(
             #   is.na(.data[[l_col]]),
-              "-"
+            "-"
             #   as.character(.data[[l_col]])
             # )
           )
@@ -234,13 +235,13 @@ merge_error <- function(
         # Remove uncertainty colummn id'd in this step of the loop
         dplyr::select(-dplyr::all_of(uncert_col))
     } # close loop combining label and uncertainty
-    
+
     # Adjust all header label names now
     header_labs <- stringr::str_replace_all(colnames(tab_dat), "_", " ") |>
       stringr::str_to_title()
     header_labs2 <- glue::glue("{header_labs[-1]}{ifelse(unit_label!='', paste0(' ', unit_label,' '), ' ')}({uncert_lab})")
     colnames(tab_dat) <- c(header_labs[1], header_labs2)
-    
+
     return(tab_dat)
   }) # close and end lapply
 }
diff --git a/man/merge_error.Rd b/man/merge_error.Rd
index a657d9ac..174521e8 100644
--- a/man/merge_error.Rd
+++ b/man/merge_error.Rd
@@ -9,7 +9,7 @@ merge_error(table_data, id_col_vals, unit_label, uncert_lab)
 \arguments{
 \item{table_data}{list of dataframes that will be eventually turned into tables}
 
-\item{id_col_vals}{A list of variables identifying grouping of the data and 
+\item{id_col_vals}{A list of variables identifying grouping of the data and
 their unique values.}
 
 \item{unit_label}{String. The units of the estimate being presented in the table.}
diff --git a/tests/testthat/test-table_index.R b/tests/testthat/test-table_index.R
index cc3df6e7..12cb3855 100644
--- a/tests/testthat/test-table_index.R
+++ b/tests/testthat/test-table_index.R
@@ -6,7 +6,7 @@ test_that("table_index generates plots without errors", {
       interactive = FALSE
     )
   )
-  
+
   # expect error-free plot with many arguments
   expect_no_error(
     table_index(
@@ -15,8 +15,8 @@ test_that("table_index generates plots without errors", {
       tables_dir = getwd()
     )
   )
-  
-  
+
+
   # expect gt object is returned
   # adjust this test to work for multiple output tables
   # expect_s3_class(
@@ -40,11 +40,11 @@ test_that("rda file made when indicated", {
     make_rda = TRUE,
     tables_dir = getwd()
   )
-  
+
   # expect that both tables dir and the index_table.rda file exist
   expect_true(dir.exists(fs::path(getwd(), "tables")))
   expect_true(file.exists(fs::path(getwd(), "tables", "index_table.rda")))
-  
+
   # erase temporary testing files
   file.remove(fs::path(getwd(), "captions_alt_text.csv"))
   unlink(fs::path(getwd(), "tables"), recursive = T)