Initial commit - SolSolAutomazione project

R-VsCode/r_vscode_quick_start.md

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+# Quick Start: Testing R in VSCode
+
+## Step 1: Install R Extensions
+1. Open VSCode
+2. Go to Extensions panel (Ctrl+Shift+X)
+3. Search for and install:
+   - "R" by REditorSupport
+   - "R Debugger" by RDebugger
+   - "R LSP Client" by REditorSupport
+
+## Step 2: Create Your First R File
+1. Create a new file (Ctrl+N)
+2. Save it with `.R` extension (e.g., `test.R`)
+3. Type some basic R code:
+   ```r
+   print("Hello R!")
+   x <- 1:5
+   mean(x)
+   ```
+
+## Step 3: Run R Code in VSCode
+### Method A: Using R Terminal
+1. Open Terminal in VSCode (Ctrl+` )
+2. Type `R` to start R interactive session
+3. Type commands directly:
+   ```r
+   > 2 + 2
+   [1] 4
+   > plot(1:10)
+   ```
+
+### Method B: Run Entire Script
+1. Open your `.R` file
+2. Press Ctrl+Shift+P
+3. Type "R: Run Source" and press Enter
+4. Output appears in R Terminal
+
+### Method C: Run Selected Code
+1. Select code in your R file
+2. Right-click → "Run Selected Line(s)"
+3. Or use shortcut: Ctrl+Enter
+
+## Step 4: View Plots
+1. Run plot commands in R terminal:
+   ```r
+   plot(1:10, main="Test Plot")
+   ```
+2. Plots appear in VSCode's Plot viewer panel
+
+## Step 5: Use R Markdown (Optional)
+1. Create new file with `.Rmd` extension
+2. Add code chunks:
+   ```r
+   ```{r}
+   summary(mtcars)
+   ```
+   ```
+3. Click "Knit" button to render document
+
+## Step 6: Debug R Code
+1. Set breakpoint by clicking left margin
+2. Press F5 to start debugging
+3. Step through code with F10/F11
+
+## Quick Test Commands to Try
+In R terminal, test these:
+```r
+# Basic math
+2 + 2
+sqrt(16)
+
+# Create data
+data <- c(1, 3, 5, 7, 9)
+mean(data)
+
+# Simple plot
+plot(data, type="l", col="blue")
+
+# Check packages
+installed.packages()[1:5,]
+```
+
+## What You Should See
+- ✅ Code completion as you type
+- ✅ Syntax highlighting
+- ✅ R terminal with `>` prompt
+- ✅ Plots in separate viewer
+- ✅ Variable values in debugger
+
+## Troubleshooting
+- If R isn't found: Check R path in extension settings
+- Restart VSCode after installing extensions
+- Ensure R is in system PATH

R-VsCode/r_vscode_setup_guide.md

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+# Setting up R in VSCode
+
+## Current Status
+✅ **R is installed**: Version 4.4.3 (2025-02-28) -- "Trophy Case"
+✅ **R executable**: `/usr/bin/R`
+
+## Required VSCode Extensions
+
+Install these extensions for optimal R development:
+
+### Essential Extensions:
+1. **R Extension for Visual Studio Code** (by REditorSupport)
+   - Provides syntax highlighting, code completion, and R integration
+   - Install with: `codium --install-extension REditorSupport.r`
+
+2. **R Debugger** (by RDebugger)
+   - Debugging support for R scripts
+   - Install with: `codium --install-extension RDebugger.r-debugger`
+
+3. **R LSP Client** (by REditorSupport)
+   - Language Server Protocol support for R
+   - In VS Code, go to Extensions (Ctrl+Shift+X) and search for:
+     "R LSP Client" by REditorSupport
+### Optional Extensions:
+- **R Markdown Preview** - For R Markdown files
+- **Quarto** - For modern R documents and reports
+
+## Installation Commands
+
+Run these commands to install the essential extensions:
+
+

R-VsCode/test_r_script.R

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+# Test R Script for VSCode Setup
+# This script demonstrates basic R functionality
+
+# Basic operations
+x <- 1:10
+y <- x^2
+
+cat("=== Basic R Test ===\n")
+cat("Vector x:", x, "\n")
+cat("Vector y:", y, "\n")
+cat("Mean of x:", mean(x), "\n")
+cat("Sum of y:", sum(y), "\n")
+cat("Standard deviation of x:", sd(x), "\n\n")
+
+# Data frame example
+df <- data.frame(
+  id = 1:5,
+  name = c("Alice", "Bob", "Charlie", "Diana", "Eve"),
+  age = c(25, 30, 35, 28, 32),
+  score = c(85, 92, 78, 96, 88)
+)
+
+cat("=== Data Frame Example ===\n")
+print(df)
+cat("\n")
+
+# Statistical summary
+cat("=== Statistical Summary ===\n")
+cat("Summary of scores:\n")
+print(summary(df$score))
+cat("\n")
+
+# Simple function
+calculate_stats <- function(data) {
+  list(
+    mean = mean(data),
+    median = median(data),
+    min = min(data),
+    max = max(data)
+  )
+}
+
+cat("=== Custom Function Test ===\n")
+stats <- calculate_stats(df$score)
+print(stats)
+cat("\n")
+
+# Plot example (will create a plot if run in R)
+cat("=== Plot Information ===\n")
+cat("To create a plot, run this script in R and use:\n")
+cat("plot(x, y, main = 'Test Plot: y = x^2', type = 'b', col = 'blue')\n")
+cat("hist(df$score, main = 'Score Distribution', col = 'lightgreen')\n\n")
+
+cat("✅ R script executed successfully!\n")
+cat("Your R environment is working correctly.\n")