Issue #809 - Replace is.logical by isTRUE

R/forecast.R

@@ -140,7 +140,7 @@ as_forecast.default <- function(data,
   #old binary format
   if (forecast_type == "point") {
     looks_binary <- check_input_binary(factor(data$observed), data$predicted)
-    if (is.logical(looks_binary)) {
+    if (isTRUE(looks_binary)) {
       #nolint start: keyword_quote_linter duplicate_argument_linter
       cli_warn(
         c(
@@ -233,7 +233,7 @@ assert_forecast.forecast_binary <- function(
     )
   }
   input_check <- check_input_binary(forecast$observed, forecast$predicted)
-  if (!is.logical(input_check)) {
+  if (!isTRUE(input_check)) {
     cli_abort(
       c(
         "!" = "Checking `forecast`: Input looks like a binary forecast, but
@@ -256,7 +256,7 @@ assert_forecast.forecast_point <- function(
   assert_forecast_type(forecast, actual = "point", desired = forecast_type)
   #nolint start: keyword_quote_linter object_usage_linter
   input_check <- check_input_point(forecast$observed, forecast$predicted)
-  if (!is.logical(input_check)) {
+  if (!isTRUE(input_check)) {
     cli_abort(
       c(
         "!" = "Checking `forecast`: Input looks like a point forecast, but found
@@ -349,7 +349,7 @@ assert_forecast_generic <- function(data, verbose = TRUE) {
 
   # check that the number of forecasts per sample / quantile level is the same
   number_quantiles_samples <- check_number_per_forecast(data, forecast_unit)
-  if (!is.logical(number_quantiles_samples) && verbose) {
+  if (!isTRUE(number_quantiles_samples) && verbose) {
     cli_warn(number_quantiles_samples)
   }
 

R/metrics-validate.R

@@ -22,7 +22,7 @@ validate_metrics <- function(metrics) {
 
   for (i in seq_along(metrics)) {
     check_fun <- check_function(metrics[[i]])
-    if (!is.logical(check_fun)) {
+    if (!isTRUE(check_fun)) {
       #nolint start: keyword_quote_linter
       cli_warn(
         c(

R/pairwise-comparisons.R

@@ -128,7 +128,7 @@ get_pairwise_comparisons <- function(
   # check that model column + columns in 'by' are present
   #nolint start: keyword_quote_linter object_usage_linter
   by_cols <- check_columns_present(scores, by)
-  if (!is.logical(by_cols)) {
+  if (!isTRUE(by_cols)) {
     cli_abort(
       c(
         "!" = "Not all columns specified in `by` are present: {.var {by_cols}}"

R/plot.R

@@ -659,7 +659,7 @@ plot_correlations <- function(correlations) {
 
   # check correlations is actually a matrix of correlations
   col_present <- check_columns_present(correlations, "metric")
-  if (any(lower_triangle > 1, na.rm = TRUE) || !is.logical(col_present)) {
+  if (any(lower_triangle > 1, na.rm = TRUE) || !isTRUE(col_present)) {
     #nolint start: keyword_quote_linter
     cli_abort(
       c(

README.md

@@ -102,6 +102,9 @@ forecast_quantile <- example_quantile |>
   )
 #> ℹ Some rows containing NA values may be removed. This is fine if not
 #>   unexpected.
+```
+
+``` r
 
 print(forecast_quantile, 2)
 #> Forecast type: quantile