[skip style] [skip vbump] Restyle files

Author: github-actions[bot]

R/tm_data_table.R

@@ -310,7 +310,7 @@ srv_data_table <- function(id,
       teal::validate_has_data(df, min_nrow = 1L, msg = paste("data", dataname, "is empty"))
       qenv <- teal.code::eval_code(
         data(),
-        'library("dplyr");library("DT")'# nolint: quotes.
+        'library("dplyr");library("DT")' # nolint: quotes.
       )
       teal.code::eval_code(
         qenv,

R/tm_g_association.R

@@ -349,7 +349,7 @@ srv_tm_g_association <- function(id,
           teal.reporter::teal_card(obj),
           teal.reporter::teal_card("## Module's code")
         )
-      teal.code::eval_code(obj, 'library("ggplot2");library("dplyr");library("ggmosaic")')# nolint: quotes.
+      teal.code::eval_code(obj, 'library("ggplot2");library("dplyr");library("ggmosaic")') # nolint: quotes.
     })
     anl_merged_q <- reactive({
       req(anl_merged_input())

R/tm_g_distribution.R

@@ -537,7 +537,7 @@ srv_distribution <- function(id,
     )
 
     qenv <- reactive(
-      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")')# nolint: quotes.
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint: quotes.
     )
 
     anl_merged_q <- reactive({
@@ -667,7 +667,7 @@ srv_distribution <- function(id,
             "Group by variable must be `factor`, `character`, or `integer`"
           )
         )
-        qenv <- teal.code::eval_code(qenv, 'library("forcats")')# nolint: quotes.
+        qenv <- teal.code::eval_code(qenv, 'library("forcats")') # nolint: quotes.
         qenv <- teal.code::eval_code(
           qenv,
           substitute(
@@ -685,7 +685,7 @@ srv_distribution <- function(id,
           )
         )
 
-        qenv <- teal.code::eval_code(qenv, 'library("forcats")')# nolint: quotes.
+        qenv <- teal.code::eval_code(qenv, 'library("forcats")') # nolint: quotes.
         qenv <- teal.code::eval_code(
           qenv,
           substitute(
@@ -895,7 +895,7 @@ srv_distribution <- function(id,
         }
 
         if (length(t_dist) != 0 && main_type_var == "Density" && length(g_var) == 0 && length(s_var) == 0) {
-          qenv <- teal.code::eval_code(qenv, 'library("ggpp")')# nolint: quotes.
+          qenv <- teal.code::eval_code(qenv, 'library("ggpp")') # nolint: quotes.
           qenv <- teal.code::eval_code(
             qenv,
             substitute(
@@ -1041,7 +1041,7 @@ srv_distribution <- function(id,
         )
 
         if (length(t_dist) != 0 && length(g_var) == 0 && length(s_var) == 0) {
-          qenv <- teal.code::eval_code(qenv, 'library("ggpp")')# nolint: quotes.
+          qenv <- teal.code::eval_code(qenv, 'library("ggpp")') # nolint: quotes.
           qenv <- teal.code::eval_code(
             qenv,
             substitute(
@@ -1237,7 +1237,7 @@ srv_distribution <- function(id,
         qenv <- common_q()
 
         if (length(s_var) == 0 && length(g_var) == 0) {
-          qenv <- teal.code::eval_code(qenv, 'library("generics")')# nolint: quotes.
+          qenv <- teal.code::eval_code(qenv, 'library("generics")') # nolint: quotes.
           qenv <- teal.code::eval_code(
             qenv,
             substitute(
@@ -1251,7 +1251,7 @@ srv_distribution <- function(id,
             )
           )
         } else {
-          qenv <- teal.code::eval_code(qenv, 'library("tidyr")')# nolint: quotes.
+          qenv <- teal.code::eval_code(qenv, 'library("tidyr")') # nolint: quotes.
           qenv <- teal.code::eval_code(
             qenv,
             substitute(

R/tm_g_response.R

@@ -390,7 +390,7 @@ srv_g_response <- function(id,
     )
 
     qenv <- reactive(
-      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")')# nolint: quotes.
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint: quotes.
     )
 
     anl_merged_q <- reactive({

R/tm_g_scatterplot.R

@@ -591,7 +591,7 @@ srv_g_scatterplot <- function(id,
         teal.reporter::teal_card(obj),
         teal.reporter::teal_card("## Module's code")
       )
-      teal.code::eval_code(obj, 'library("ggplot2");library("dplyr")')# nolint: quotes.
+      teal.code::eval_code(obj, 'library("ggplot2");library("dplyr")') # nolint: quotes.
     })
 
     anl_merged_q <- reactive({

R/tm_g_scatterplotmatrix.R

@@ -371,7 +371,7 @@ srv_g_scatterplotmatrix <- function(id,
 
       # check character columns. If any, then those are converted to factors
       check_char <- vapply(ANL[, cols_names], is.character, logical(1))
-      qenv <- teal.code::eval_code(qenv, 'library("dplyr")')# nolint: quotes.
+      qenv <- teal.code::eval_code(qenv, 'library("dplyr")') # nolint: quotes.
       if (any(check_char)) {
         qenv <- teal.code::eval_code(
           qenv,

R/tm_missing_data.R

@@ -534,7 +534,7 @@ srv_missing_data <- function(id,
       )
 
       qenv <- teal.code::eval_code(obj, {
-        'library("dplyr");library("ggplot2");library("tidyr");library("gridExtra")'# nolint: quotes.
+        'library("dplyr");library("ggplot2");library("tidyr");library("gridExtra")' # nolint: quotes.
       })
 
       qenv <- if (!is.null(selected_vars()) && length(selected_vars()) != ncol(anl)) {
@@ -1120,7 +1120,7 @@ srv_missing_data <- function(id,
       qenv <- if (!is.null(group_var)) {
         common_code_libraries_q <- teal.code::eval_code(
           qenv,
-          'library("forcats");library("glue");'# nolint: quotes.
+          'library("forcats");library("glue");' # nolint: quotes.
         )
         teal.code::eval_code(
           common_code_libraries_q,

R/tm_outliers.R

@@ -446,10 +446,10 @@ srv_outliers <- function(id, data, outlier_var,
       teal.code::eval_code(
         data(),
         paste0(
-          'library("dplyr");library("tidyr");',# nolint: quotes.
+          'library("dplyr");library("tidyr");', # nolint: quotes.
           'library("tibble");library("ggplot2");'
         )
-      ) %>%# nolint: quotes.
+      ) %>% # nolint: quotes.
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 

R/tm_t_crosstable.R

@@ -331,7 +331,7 @@ srv_t_crosstable <- function(id, data, label, x, y, remove_zero_columns, basic_t
       obj <- data()
       teal.reporter::teal_card(obj) <- append(teal.reporter::teal_card(obj), "# Cross Table", after = 0)
       teal.reporter::teal_card(obj) <- c(teal.reporter::teal_card(obj), "## Module's code")
-      teal.code::eval_code(obj, 'library("rtables");library("tern");library("dplyr")')# nolint: quotes.
+      teal.code::eval_code(obj, 'library("rtables");library("tern");library("dplyr")') # nolint: quotes.
     })
     anl_merged_q <- reactive({
       req(anl_merged_input())