Change cli_warn() to cli_alert_warning()

R/classify_nuts.R

@@ -136,8 +136,8 @@ classify_nuts <-
     # CLASSIFICATION POSSIBLE
     #-------------------------
     # Welcome information
-    cli_alert_info(c("{.blue Classifying version of NUTS codes}",
-                     "\n{.blue -----------------------------------}"))
+    cli_text("{.blue Classifying version of NUTS codes}")
+    cli_text("{.blue -----------------------------------}")
     # Check for NUTS codes that cannot be classified
     all_nuts_codes <- get("all_nuts_codes")
     codes_not_found <-
@@ -218,8 +218,8 @@ classify_nuts <-
     # - Check if there is variation within groups
     pct_overlap_within_groups <- unique(data$overlap_perc[!is.na(data$from_version)])
     if (any(pct_overlap_within_groups < 100)) {
-      cli_warn(c( "{.blue => Within {.red groups} defined by {.red {group_vars}}.}",
-                  "{.blue ==> {.red Multiple} NUTS versions classified. See the tibble 'versions_data' in the output.}"))
+      cli_alert_info("{.blue => Within {.red groups} defined by {.red {group_vars}}.}")
+      cli_alert_warning("{.blue ==> {.red Multiple} NUTS versions classified. See the tibble 'versions_data' in the output.}")
       paste_grouping <- F
     } else {
       paste_grouping <- T
@@ -286,7 +286,7 @@ classify_nuts <-
     if (nrow(data_missing_nuts) == 0) {
       cli_alert_info("{.blue \n==> No missing NUTS codes.}")
     } else if (nrow(data_missing_nuts) > 0) {
-      cli_alert_info("{.blue \n==> {.red Missing} NUTS codes detected. See the tibble 'missing_data' in the output.}")
+      cli_alert_warning("{.blue \n==> {.red Missing} NUTS codes detected. See the tibble 'missing_data' in the output.}")
     }
     # - done
 

R/convert_nuts_level.R

@@ -113,8 +113,8 @@ convert_nuts_level <-
     # CONVERSION POSSIBLE
     #----------------------
     # Welcome information
-    cli_alert_info(c("{.blue Converting level of NUTS codes}",
-                     "\n{.blue --------------------------------}"))
+    cli_text("{.blue Converting level of NUTS codes}")
+    cli_text("{.blue ------------------------------}")
     # CONVERSION BETWEEN DIFFERENT NUTS LEVELS
     cli_alert_info("{.blue => Aggregate from NUTS regional level {.red {data$from_level[1]}} to {.red {to_level}}}.")
 
@@ -126,7 +126,7 @@ convert_nuts_level <-
       cli_alert_info("{.blue => All NUTS codes can be converted.}")
     } else if (nr_nuts_codes_recognized < nr_nuts_codes &&
                nr_nuts_codes_recognized > 0) {
-      cli_warn("{.blue => These NUTS codes cannot be converted and {.red are dropped} from the dataaset: {.red {unique(data$from_code[!check_nuts_codes])}}.}")
+      cli_alert_warning("{.blue => These NUTS codes cannot be converted and {.red are dropped} from the dataset: {.red {unique(data$from_code[!check_nuts_codes])}}.}")
       data <- data[check_nuts_codes, ]
     }
 
@@ -144,7 +144,7 @@ convert_nuts_level <-
     # Use data_versions which is sorted for most frequent version within group
     if (multi_versions_A > multi_versions_B) {
       cli_alert_info("{.blue => Within {.red groups} defined by {.red {group_vars}}}")
-      cli_warn("{.blue ==> {.red Multiple} NUTS code versions.}")
+      cli_alert_warning("{.blue ==> {.red Multiple} NUTS code versions.}")
 
       if (multiple_versions == "break") {
         cli_abort(
@@ -219,8 +219,8 @@ convert_nuts_level <-
     }
 
     if (nrow(missing) > 0) {
-      cli_warn(c("{.blue => {.red Missing} NUTS codes in data.}",
-                 "{.blue ==> No values are calculated for regions associated with missing NUTS codes. Ensure that the input data is complete.}"))
+      cli_alert_warning("{.blue => {.red Missing} NUTS codes in data.}")
+      cli_alert_warning("{.blue ==> No values are calculated for regions associated with missing NUTS codes. Ensure that the input data is complete.}")
     } else if (nrow(missing) == 0) {
       cli_alert_info("{.blue => No missing NUTS codes.}")
     }

R/convert_nuts_version.R

@@ -118,8 +118,8 @@ convert_nuts_version <-
     # CONVERSION POSSIBLE
     #----------------------
     # Welcome information
-    cli_alert_info(c("{.blue Converting versions of NUTS codes}",
-                     "\n{.blue -----------------------------------}"))
+    cli_text("{.blue Converting versions of NUTS codes}")
+    cli_text("{.blue  ---------------------------------}")
     # CONVERSION BETWEEN DIFFERENT NUTS VERSIONS
     cli_alert_info("{.blue => Converting NUTS codes in version(s) {.red {unique(data$from_version[!is.na(data$from_version)])}} to version {.red {to_version}}.}")
     # Check which NUTS codes can be converted
@@ -130,7 +130,7 @@ convert_nuts_version <-
       cli_alert_info("{.blue All NUTS codes can be converted.}")
     } else if (nr_nuts_codes_recognized < nr_nuts_codes &&
                nr_nuts_codes_recognized > 0) {
-      cli_warn("{.blue => These NUTS codes cannot be converted and {.red are dropped} from the dataaset: {.red {unique(data$from_code[!check_nuts_codes])}}.}")
+      cli_alert_warning("{.blue => These NUTS codes cannot be converted and {.red are dropped} from the dataaset: {.red {unique(data$from_code[!check_nuts_codes])}}.}")
       data <- data[check_nuts_codes, ]
     }
 
@@ -148,7 +148,7 @@ convert_nuts_version <-
     # Use data_versions which is sorted for most frequent version within group
     if (multi_versions_A > multi_versions_B) {
       cli_alert_info("{.blue => Within {.red groups} defined by {.red {group_vars}}}")
-      cli_warn("{.blue ==> {.red Multiple} NUTS code versions.}")
+      cli_alert_warning("{.blue ==> {.red Multiple} NUTS code versions.}")
       if (multiple_versions == "break") {
         cli_abort(
           c(
@@ -228,7 +228,8 @@ convert_nuts_version <-
 
     # - Alert missing
     if (nrow(missing) > 0) {
-      cli_warn( "{.blue ==> {.red Missing} NUTS codes in data. No values are calculated for regions associated with missing NUTS codes. Ensure that the input data is complete.}" )
+      cli_alert_warning("{.blue => {.red Missing} NUTS codes in data.}")
+      cli_alert_warning("{.blue ==> No values are calculated for regions associated with missing NUTS codes. Ensure that the input data is complete.}")
     } else if (nrow(missing) == 0) {
       cli_alert_info("{.blue \n==> No missing NUTS codes.}")
     }