Add Control model rank info to report

README.md

@@ -10,6 +10,18 @@ Before compiling BayesNet.
 
 [Getting Started](<https://www.boost.org/doc/libs/1_83_0/more/getting_started/index.html>)
 
+The best option is install the packages that the Linux distribution have in its repository. If this is the case:
+
+```bash
+sudo dnf install boost-devel
+```
+
+If this is not possible and the compressed packaged is installed, the following environment variable has to be set:
+
+```bash
+export BOOST_ROOT=/path/to/library/
+```
+
 ### libxlswriter
 
 ```bash

src/Platform/BestResults.cc

@@ -290,6 +290,7 @@ namespace platform {
         if (excel) {
             BestResultsExcel excel(score, models, datasets, table, friedman, significance);
             excel.build();
+            cout << Colors::YELLOW() << "** Excel file generated: " << excel.getFileName() << Colors::RESET() << endl;
         }
     }
 }

src/Platform/BestResultsExcel.cc

@@ -37,6 +37,10 @@ namespace platform {
         body();
         footer();
     }
+    string BestResultsExcel::getFileName()
+    {
+        return Paths::excel() + fileName;
+    }
     void BestResultsExcel::header()
     {
         row = 0;
@@ -123,14 +127,27 @@ namespace platform {
             writeString(row, 6, "Loss", "bodyHeader");
             writeString(row, 7, "Reject H0", "bodyHeader");
             row++;
+            bool first = true;
             for (const auto& item : holmResult.holmLines) {
                 writeString(row, 1, item.model, "text");
-                writeDouble(row, 2, item.pvalue, "result");
-                writeDouble(row, 3, item.rank, "result");
-                writeInt(row, 4, item.wtl.win, "ints");
-                writeInt(row, 5, item.wtl.tie, "ints");
-                writeInt(row, 6, item.wtl.loss, "ints");
-                writeString(row, 7, item.reject ? "Yes" : "No", "textCentered");
+                if (first) {
+                    // Control model info
+                    first = false;
+                    writeString(row, 2, "", "text");
+                    writeDouble(row, 3, item.rank, "result");
+                    writeString(row, 4, "", "text");
+                    writeString(row, 5, "", "text");
+                    writeString(row, 6, "", "text");
+                    writeString(row, 7, "", "textCentered");
+                } else {
+                    // Rest of the models info
+                    writeDouble(row, 2, item.pvalue, "result");
+                    writeDouble(row, 3, item.rank, "result");
+                    writeInt(row, 4, item.wtl.win, "ints");
+                    writeInt(row, 5, item.wtl.tie, "ints");
+                    writeInt(row, 6, item.wtl.loss, "ints");
+                    writeString(row, 7, item.reject ? "Yes" : "No", "textCentered");
+                }
                 row++;
             }
         }

src/Platform/BestResultsExcel.h

@@ -14,6 +14,7 @@ namespace platform {
         BestResultsExcel(string score, vector<string> models, vector<string> datasets, json table, bool friedman, double significance);
         ~BestResultsExcel();
         void build();
+        string getFileName();
     private:
         void header();
         void body();

src/Platform/Statistics.cc

@@ -161,10 +161,10 @@ namespace platform {
         sort(ranksOrder.begin(), ranksOrder.end(), [](const pair<string, float>& a, const pair<string, float>& b) {
             return a.second < b.second;
             });
+        // Show the control model info.
+        oss << "  " << Colors::BLUE() << left << setw(maxModelName) << ranksOrder.at(0).first << " ";
+        oss << setw(12) << " " << setprecision(7) << fixed << " " << ranksOrder.at(0).second << endl;
         for (const auto& item : ranksOrder) {
-            if (item.first == models.at(controlIdx)) {
-                continue;
-            }
             auto idx = distance(models.begin(), find(models.begin(), models.end(), item.first));
             double pvalue = 0.0;
             for (const auto& stat : statsOrder) {
@@ -172,13 +172,17 @@ namespace platform {
                     pvalue = stat.second;
                 }
             }
+            holmResult.holmLines.push_back({ item.first, pvalue, item.second, wtl.at(idx), pvalue < significance });
+            if (item.first == models.at(controlIdx)) {
+                continue;
+            }
             auto colorStatus = pvalue > significance ? Colors::GREEN() : Colors::MAGENTA();
             auto status = pvalue > significance ? Symbols::check_mark : Symbols::cross;
             auto textStatus = pvalue > significance ? " accepted H0" : " rejected H0";
-            oss << "  " << colorStatus << left << setw(maxModelName) << item.first << " " << setprecision(6) << scientific << pvalue << setprecision(7) << fixed << " " << item.second;
+            oss << "  " << colorStatus << left << setw(maxModelName) << item.first << " ";
+            oss << setprecision(6) << scientific << pvalue << setprecision(7) << fixed << " " << item.second;
             oss << " " << right << setw(3) << wtl.at(idx).win << " " << setw(3) << wtl.at(idx).tie << " " << setw(4) << wtl.at(idx).loss;
             oss << " " << status << textStatus << endl;
-            holmResult.holmLines.push_back({ item.first, pvalue, item.second, wtl.at(idx), pvalue < significance });
         }
         oss << color << "  *************************************************************************************************************" << endl;
         oss << Colors::RESET();