Age Weight Graded Running Calculator

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Age-Weighted Running Performance Calculator

Understand your true running potential by adjusting for age-related performance changes.

Running Performance Adjuster

Enter your current age in years.
Enter your running time in minutes (e.g., 20 for 20 minutes).
Enter the age you want to compare your performance against.
A factor representing typical performance decline per year (e.g., 1.05 means 5% slower per year after peak). This is a simplified model.

Your Age-Adjusted Performance

Age Difference: years
Estimated Performance at Age : minutes
Performance Index:

Key Assumptions:

Current Age: years
Performance Time: minutes
Comparison Age: years
Age Factor:
Formula Used:

The estimated performance at a different age is calculated by applying an age adjustment factor to the performance time, multiplied by the difference in years between the comparison age and the current age. A simplified index is derived by comparing this adjusted time to the original time. This model assumes a constant rate of performance change and is a simplification of complex physiological factors.

AdjustedPerformance = PerformanceTime * (AgeAdjustmentFactor ^ (AgeDifference))

PerformanceIndex = AdjustedPerformance / PerformanceTime

Performance Trend Over Age

Your Performance Data Age-Adjusted Trend
Chart Explanation:

This chart visualizes how your running performance might change over time based on the age adjustment factor you provided. The blue line represents your current performance point, while the green line illustrates the projected trend of your performance as you age, according to the specified factor. This helps to see the potential impact of aging on your running times.

Age-Weighted Performance Table

Age Estimated Performance (Minutes) Performance Index (vs. Age 30)
Table Explanation:

This table shows projected running performance at different ages, using your current performance and the age adjustment factor. The performance index indicates how your time at a given age compares to your current performance, with values above 1 suggesting slower times and values below 1 suggesting faster times (less common in aging trends).

What is Age-Weighted Running Performance?

Age-weighted running performance is a concept used to standardize running times across different age groups. As runners age, physiological changes naturally affect their speed and endurance. An age-weighted system attempts to account for these changes, allowing for a more equitable comparison of performances between runners of varying ages, or between a runner's past, present, and future potential performances. It helps answer the question: "How would my current performance stack up if I were 10 years younger, or how might it look when I'm 60?" This is particularly relevant for competitive runners who want to gauge their progress against their own historical bests or against peers in different age brackets.

Who Should Use It?

  • Competitive Runners: To understand their performance relative to different age categories in races or to set realistic future goals.
  • Recreational Runners: To track progress and maintain motivation by seeing how their current fitness level translates across different life stages.
  • Coaches and Analysts: To evaluate athlete development and performance trends over extended periods.
  • Anyone Curious: To get a general idea of how age impacts running speed based on established statistical models.

Common Misconceptions:

  • Linear Decline: Many assume performance declines linearly, but the actual decline can vary based on training, genetics, and specific age. Our calculator uses a simplified model.
  • Universal Factors: There isn't one single "age adjustment factor" that fits all runners. Factors like training consistency, injury history, and lifestyle play significant roles.
  • Peak Performance Age: While there's a general peak age range for running performance (often late 20s to early 30s), individual peaks can vary.
  • Reversibility: The calculator estimates future decline; however, consistent training can mitigate some of these effects, and in some cases, older runners can still improve.

Age-Weighted Running Performance Formula and Mathematical Explanation

The concept of age-weighting in running performance relies on creating a predictive model that estimates how a runner's time might change as they age. The most common approach involves applying an 'age factor' to a runner's existing performance. While various sophisticated algorithms exist, a simplified model commonly used for estimation is as follows:

The Simplified Age-Weighted Formula

Let's break down the core calculation used in our calculator:

1. Calculate Age Difference:

AgeDifference = |AgeToCompare - CurrentAge|

This is the absolute difference in years between your current age and the age you wish to compare your performance to.

2. Calculate Adjusted Performance Time:

AdjustedPerformance = PerformanceTime * (AgeAdjustmentFactor ^ AgeDifference)

This is the heart of the age-weighting. The AgeAdjustmentFactor (e.g., 1.05) represents the estimated percentage change in performance per year. Raising this factor to the power of the AgeDifference applies this change multiplicatively over the years. For example, if the factor is 1.05 and the age difference is 20 years, the performance will be impacted by (1.05 ^ 20).

3. Calculate Performance Index:

PerformanceIndex = AdjustedPerformance / PerformanceTime

This index provides a ratio comparing the adjusted performance to the original performance. An index of 1.0 means no change. An index greater than 1.0 indicates a slower performance (as expected when aging forward), while an index less than 1.0 would indicate a faster performance.

Variables Explained

Variable Meaning Unit Typical Range / Notes
Current Age The age of the runner providing the performance data. Years 1+
Performance Time The recorded running time for a specific distance. Minutes > 0.1 (e.g., 12.5 for 12:30)
Age to Compare The target age for estimating performance. Years 1+
Age Difference The difference in years between the current age and the comparison age. Years Integer (absolute value)
Age Adjustment Factor A multiplier representing the estimated annual performance change due to aging. A factor > 1.0 generally indicates performance decline with age. Unitless Typically 1.01 to 1.10 (represents 1% to 10% decline per year)
Adjusted Performance The estimated running time at the 'Age to Compare'. Minutes > 0
Performance Index A ratio of the adjusted performance time to the current performance time. Unitless > 0

Important Note: This simplified model assumes a constant rate of performance change. In reality, the aging process is more complex, with performance often peaking in the late 20s or early 30s, followed by a gradual decline that can accelerate later in life. Training, genetics, health, and lifestyle choices significantly influence these outcomes.

Practical Examples (Real-World Use Cases)

Let's explore how the age-weighted running performance calculator can be used with practical scenarios.

Example 1: Assessing Future Potential for a Marathon Runner

Scenario: Sarah is 35 years old and recently ran a marathon in 4 hours and 30 minutes (270 minutes). She wants to estimate how her performance might look when she's 55. She uses an age adjustment factor of 1.04, assuming a 4% annual decline in performance after her peak years.

Inputs:

  • Current Age: 35 years
  • Performance Time: 270 minutes
  • Age to Compare: 55 years
  • Age Adjustment Factor: 1.04

Calculations:

  • Age Difference = |55 – 35| = 20 years
  • Adjusted Performance = 270 * (1.04 ^ 20) = 270 * 2.1911 = 591.6 minutes
  • Performance Index = 591.6 / 270 = 2.19

Results Interpretation: The calculator estimates that if Sarah continues running and maintains a similar level of training, her marathon time at age 55 might be around 591.6 minutes (approximately 9 hours and 52 minutes). The performance index of 2.19 indicates her performance could be more than double (2.19 times slower) compared to her current ability. This projection can help Sarah set realistic long-term goals and understand the potential impact of aging on her endurance running.

Example 2: Comparing Performances Across Decades

Scenario: Mark, a competitive runner, ran a 10k race at age 28 in 40 minutes. He wants to see how that performance compares to his potential at age 48, using an age adjustment factor of 1.03 (3% annual decline).

Inputs:

  • Current Age: 28 years
  • Performance Time: 40 minutes
  • Age to Compare: 48 years
  • Age Adjustment Factor: 1.03

Calculations:

  • Age Difference = |48 – 28| = 20 years
  • Adjusted Performance = 40 * (1.03 ^ 20) = 40 * 1.8061 = 72.24 minutes
  • Performance Index = 72.24 / 40 = 1.806

Results Interpretation: The calculator projects that Mark's 10k time at age 48 might be around 72.24 minutes. The performance index of 1.806 suggests his time could be nearly 81% slower than his current 40-minute performance. This highlights the significant impact of aging, even with a relatively modest annual decline factor. Mark can use this information to adjust his training focus or competitive expectations for future years.

How to Use This Age-Weighted Running Performance Calculator

Using the age-weighted running performance calculator is straightforward. Follow these steps to estimate your adjusted running times:

Step-by-Step Instructions

  1. Enter Your Current Age: Input your current age in years into the 'Your Current Age' field.
  2. Input Your Performance Time: Enter the time (in minutes) for a recent race or training run (e.g., 5k, 10k, half marathon, marathon). For example, a 45-minute 10k would be entered as 45.
  3. Specify Comparison Age: Enter the age at which you want to estimate your performance. This could be a future age (e.g., 40, 50, 60) or a past age.
  4. Set the Age Adjustment Factor: This is a crucial input. A factor of 1.0 indicates no change. A factor like 1.03 suggests an estimated 3% slower performance per year due to aging. A factor of 1.05 suggests 5%. Choose a factor that aligns with general research or your personal experience, understanding it's a simplification. Typical ranges are between 1.01 and 1.10.
  5. Click 'Calculate Performance': Once all fields are populated, click the button to see your results.

How to Read Results

  • Primary Highlighted Result: This shows your Estimated Performance at the specified 'Age to Compare', displayed in minutes.
  • Intermediate Values:
    • Age Difference: The number of years between your current age and the comparison age.
    • Performance at Comparison Age: A more detailed view of the primary result, confirming the time in minutes.
    • Performance Index: A ratio indicating how much slower (if >1) or faster (if <1) your estimated performance is compared to your current performance.
  • Key Assumptions: This section reiterates the inputs you used, serving as a quick reference.
  • Formula Explanation: Provides context on how the calculations were performed.
  • Table and Chart: These offer visual and tabular representations of how your performance might change across a range of ages based on your inputs.

Decision-Making Guidance

Use the results to:

  • Set Realistic Goals: Understand how age might impact your race times and adjust your expectations accordingly.
  • Motivate Training: Seeing a projected decline might inspire you to train harder or smarter to mitigate the effects of aging.
  • Plan for Future Races: Choose target races or performance goals that align with your projected abilities at different life stages.
  • Compare Across Generations: Understand how performances might compare between runners of different ages.

Remember, these are estimations. Consistent training, proper nutrition, injury prevention, and maintaining overall health can significantly influence your actual running performance as you age.

Key Factors That Affect Age-Weighted Running Results

While the age-weighted running calculator provides a useful estimate, numerous factors influence actual running performance as people age. Understanding these factors can provide a more nuanced view:

  1. Training Consistency and Quality: This is arguably the most significant factor. Runners who maintain consistent, intelligent training programs throughout their lives are likely to experience less performance decline than those who are inconsistent or increase training intensity drastically without proper adaptation. The calculator assumes a baseline level of consistency.
  2. Genetics and Biological Aging: Individual genetic predispositions play a role in how quickly physiological markers like VO2 max, lactate threshold, and muscle strength decline. Some individuals naturally age more gracefully in terms of athletic capacity. The 'Age Adjustment Factor' is a broad generalization that cannot account for individual genetic variations.
  3. Health and Injury Status: Chronic illnesses, recurring injuries, or acute health issues can drastically impact training and performance, irrespective of age. A runner who is injury-free and healthy will perform better than one managing multiple physical ailments. The calculator assumes good health.
  4. Lifestyle Factors (Nutrition, Sleep, Stress): Diet, sleep quality, hydration, and stress management are critical for recovery and performance. A runner with a healthy lifestyle will recover better, train more effectively, and thus mitigate age-related decline more successfully than someone with poor lifestyle habits.
  5. Training Specificity and Adaptation: As runners age, they may need to adapt their training strategies. This might involve more focus on recovery, strength training, or adjusting intensity to avoid overtraining and injury. The calculator's simple factor doesn't account for adaptive training periodization.
  6. Mental Fortitude and Motivation: A runner's psychological state, their motivation to train, and their resilience during races are vital. Many older athletes continue to perform well due to strong mental toughness, race experience, and a deep love for the sport, overcoming some physical limitations.
  7. External Factors (Environmental, Equipment): Factors like altitude, weather conditions, and even the technology in running shoes can influence performance times. While less directly related to aging itself, they contribute to the variability in recorded times.
  8. Body Composition Changes: Over time, metabolism can slow, and body composition can shift (e.g., increased body fat, decreased muscle mass) if not actively managed through diet and exercise. These changes directly affect a runner's power-to-weight ratio and overall speed.

The 'Age Adjustment Factor' in the calculator is a simplification. Real-world performance is a complex interplay of these biological, behavioral, and environmental elements.

Frequently Asked Questions (FAQ)

Q1: What is the most common age for peak running performance?

For many distance runners, peak performance often occurs in the late 20s to early 30s. However, this varies significantly based on the running distance, genetics, training history, and individual physiology. Some athletes peak later, while others may reach their best earlier.

Q2: Is the age adjustment factor the same for all runners?

No, the age adjustment factor is not universal. It's a generalized estimate. Factors like genetics, training background, injury history, and lifestyle choices mean that different runners experience age-related performance changes at different rates. The calculator uses a user-defined factor for estimation.

Q3: Can consistent training prevent performance decline with age?

Consistent and smart training can significantly mitigate performance decline, but it may not entirely prevent it. While training can help maintain fitness, strength, and speed, some physiological changes associated with aging are inevitable. However, well-trained older runners often outperform untrained younger individuals.

Q4: Does this calculator predict my performance for shorter races (e.g., 5k) and longer races (e.g., marathon) equally well?

The simplified formula can be applied to any distance, but its accuracy might vary. Age impacts different physiological systems differently. Endurance events like marathons might show a more pronounced effect of aging than shorter, speed-focused races. However, the core principle of applying an age factor remains the same.

Q5: What does a Performance Index of 1.5 mean?

A Performance Index of 1.5 means that your estimated performance at the comparison age is 1.5 times slower than your current performance time. For example, if your current 10k time is 40 minutes, a Performance Index of 1.5 would project a time of 60 minutes (40 minutes * 1.5) at the comparison age.

Q6: How can I find a suitable Age Adjustment Factor for myself?

Finding the perfect factor is challenging. You can research general aging performance decline statistics for your specific running discipline, consult with a running coach, or analyze your own past performance trends over several years. Start with a conservative estimate (e.g., 1.02-1.04) and adjust based on your experience.

Q7: Does this calculator account for different types of running (e.g., trail vs. road)?

No, this calculator assumes a standard road running performance. Factors specific to trail running, such as terrain, elevation, and technical difficulty, are not incorporated. The 'Performance Time' should ideally reflect a consistent type of running.

Q8: What are the limitations of this simplified age-weighting model?

The primary limitation is its simplification. It assumes a constant, linear rate of performance change and doesn't account for individual biological variations, training periodization, specific health conditions, or the non-linear nature of aging itself (e.g., slower decline in early adulthood vs. later years). It serves as an estimation tool, not a definitive prediction.

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// Global variables for chart var performanceChartInstance = null; var chartCanvas = document.getElementById("performanceChart"); var ctx = chartCanvas.getContext("2d"); function validateInput(id, errorId, min, max, isEmptyAllowed = false) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); if (!isEmptyAllowed && (input.value === null || input.value.trim() === "")) { errorElement.textContent = "This field is required."; errorElement.style.display = "block"; return false; } else if (input.value === null || input.value.trim() === "") { errorElement.style.display = "none"; return true; // Empty is allowed and valid } if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; errorElement.style.display = "block"; return false; } if (value max) { errorElement.textContent = "Value cannot be greater than " + max + "."; errorElement.style.display = "block"; return false; } errorElement.style.display = "none"; return true; } function calculateAgeWeight() { // Validate all inputs var isValid = true; isValid = validateInput("currentAge", "currentAgeError", 1) && isValid; isValid = validateInput("currentAgePerformance", "currentAgePerformanceError", 0.1) && isValid; isValid = validateInput("ageToCompare", "ageToCompareError", 1) && isValid; isValid = validateInput("ageAdjustmentFactor", "ageAdjustmentFactorError", 0, 10) && isValid; // Factor can be > 1 but needs sensible upper bound for calculation if (!isValid) { return; } var currentAge = parseFloat(document.getElementById("currentAge").value); var performanceTime = parseFloat(document.getElementById("currentAgePerformance").value); var ageToCompare = parseFloat(document.getElementById("ageToCompare").value); var ageAdjustmentFactor = parseFloat(document.getElementById("ageAdjustmentFactor").value); var ageDifference = Math.abs(ageToCompare – currentAge); var adjustedPerformance; var performanceIndex; if (ageAdjustmentFactor <= 0) { // Prevent issues with non-positive factors adjustedPerformance = performanceTime; performanceIndex = 1.0; } else { adjustedPerformance = performanceTime * Math.pow(ageAdjustmentFactor, ageDifference); performanceIndex = adjustedPerformance / performanceTime; } // Format results var formattedAdjustedPerformance = adjustedPerformance.toFixed(2); var formattedPerformanceIndex = performanceIndex.toFixed(3); // Display primary result document.getElementById("primary-result").textContent = formattedAdjustedPerformance + " minutes"; // Display intermediate results document.getElementById("ageDifference").innerHTML = "Age Difference: " + ageDifference + " years"; document.getElementById("compAgeText").textContent = ageToCompare; document.getElementById("performanceAtComparisonAge").innerHTML = "Estimated Performance at Age " + ageToCompare + ": " + formattedAdjustedPerformance + " minutes"; document.getElementById("performanceIndex").innerHTML = "Performance Index: " + formattedPerformanceIndex + ""; // Display key assumptions document.getElementById("assumption1").innerHTML = "Current Age: " + currentAge + " years"; document.getElementById("assumption2").innerHTML = "Performance Time: " + performanceTime.toFixed(1) + " minutes"; document.getElementById("assumption3").innerHTML = "Comparison Age: " + ageToCompare + " years"; document.getElementById("assumption4").innerHTML = "Age Factor: " + ageAdjustmentFactor.toFixed(2) + ""; updateChartAndTable(currentAge, performanceTime, ageAdjustmentFactor); } function updateChartAndTable(currentAge, performanceTime, ageAdjustmentFactor) { var comparisonAge = parseFloat(document.getElementById("ageToCompare").value); var ageDifferenceForChart = comparisonAge – currentAge; // Chart Data var chartLabels = []; var yourPerformanceData = []; var trendPerformanceData = []; var minAge = Math.max(1, Math.min(currentAge, comparisonAge) – 10); var maxAge = Math.max(currentAge, comparisonAge) + 10; // Ensure chart covers a reasonable range, including current and comparison ages var step = Math.max(1, Math.floor((maxAge – minAge) / 10)); // Aim for about 10-15 points for (var age = minAge; age <= maxAge; age += step) { chartLabels.push(age.toString()); var diff = age – currentAge; var projectedPerformance = performanceTime * Math.pow(ageAdjustmentFactor, diff); // Add current performance point if it falls within the range if (age === currentAge) { yourPerformanceData.push({ x: age, y: performanceTime }); } else { yourPerformanceData.push({ x: age, y: null }); // Placeholder for interpolation } trendPerformanceData.push({ x: age, y: projectedPerformance }); } // Ensure current age point is clearly marked if not already included in loop steps var currentAgeIndex = chartLabels.indexOf(currentAge.toString()); if (currentAgeIndex === -1) { chartLabels.push(currentAge.toString()); yourPerformanceData.push({ x: currentAge, y: performanceTime }); trendPerformanceData.push({ x: currentAge, y: performanceTime * Math.pow(ageAdjustmentFactor, 0) }); // Trend starts at current performance chartLabels.sort(function(a, b) { return parseFloat(a) – parseFloat(b); }); // Re-sort labels } else { // Adjust the existing point for the trend line to start correctly trendPerformanceData[chartLabels.indexOf(currentAge.toString())] = { x: currentAge, y: performanceTime }; } // Remove nulls and adjust for correct plotting if needed, or handle directly in chart options var processedYourPerformanceData = yourPerformanceData.map(function(point) { return point ? { x: point.x, y: point.y } : null; }).filter(function(point) { return point !== null; }); var processedTrendPerformanceData = trendPerformanceData.map(function(point) { return point ? { x: point.x, y: point.y } : null; }).filter(function(point) { return point !== null; }); // Update Chart if (performanceChartInstance) { performanceChartInstance.destroy(); } performanceChartInstance = new Chart(ctx, { type: 'line', data: { labels: chartLabels, datasets: [{ label: 'Your Performance', data: processedYourPerformanceData, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, pointRadius: 5, pointBackgroundColor: '#004a99' }, { label: 'Age-Adjusted Trend', data: processedTrendPerformanceData, borderColor: '#28a745', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, pointRadius: 5, pointBackgroundColor: '#28a745' }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Years)' } }, y: { title: { display: true, text: 'Performance Time (Minutes)' }, beginAtZero: false // Performance times don't start at 0 } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' minutes'; } return label; } } } } } }); // Table Data var tableBody = document.getElementById("performanceTableBody"); tableBody.innerHTML = ""; // Clear previous rows // Add rows for a range of ages, including current and comparison age var startAge = Math.max(1, Math.min(currentAge, comparisonAge) – 5); var endAge = Math.max(currentAge, comparisonAge) + 5; if (endAge < startAge + 10) endAge = startAge + 10; // Ensure at least 10 years range for (var age = startAge; age <= endAge; age++) { var diff = age – currentAge; var projectedPerformance = performanceTime * Math.pow(ageAdjustmentFactor, diff); var index = projectedPerformance / performanceTime; var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellPerformance = row.insertCell(1); var cellIndex = row.insertCell(2); cellAge.textContent = age; cellPerformance.textContent = projectedPerformance.toFixed(2); cellIndex.textContent = index.toFixed(3); } } function resetCalculator() { document.getElementById("currentAge").value = 30; document.getElementById("currentAgePerformance").value = 20; document.getElementById("ageToCompare").value = 50; document.getElementById("ageAdjustmentFactor").value = 1.05; // Clear error messages document.getElementById("currentAgeError").textContent = ""; document.getElementById("currentAgePerformanceError").textContent = ""; document.getElementById("ageToCompareError").textContent = ""; document.getElementById("ageAdjustmentFactorError").textContent = ""; document.getElementById("currentAgeError").style.display = "none"; document.getElementById("currentAgePerformanceError").style.display = "none"; document.getElementById("ageToCompareError").style.display = "none"; document.getElementById("ageAdjustmentFactorError").style.display = "none"; // Reset results to default state document.getElementById("primary-result").textContent = "–"; document.getElementById("ageDifference").innerHTML = "Age Difference: years"; document.getElementById("performanceAtComparisonAge").innerHTML = "Estimated Performance at Age : minutes"; document.getElementById("performanceIndex").innerHTML = "Performance Index: "; document.getElementById("assumption1").innerHTML = "Current Age: years"; document.getElementById("assumption2").innerHTML = "Performance Time: minutes"; document.getElementById("assumption3").innerHTML = "Comparison Age: years"; document.getElementById("assumption4").innerHTML = "Age Factor: "; // Clear chart and table data (or reset to default calculation) if (performanceChartInstance) { performanceChartInstance.destroy(); performanceChartInstance = null; } document.getElementById("performanceTableBody").innerHTML = ""; // Optionally, recalculate with default values calculateAgeWeight(); } function copyResults() { var primaryResult = document.getElementById("primary-result").textContent; var ageDiff = document.getElementById("ageDifference").querySelector('span').textContent; var compAgePerformance = document.getElementById("performanceAtComparisonAge").querySelector('span').textContent; var compAgeText = document.getElementById("compAgeText").textContent; var perfIndex = document.getElementById("performanceIndex").querySelector('span').textContent; var assumption1 = document.getElementById("assumption1").textContent.replace("Current Age: ", "").replace(" years", "").trim(); var assumption2 = document.getElementById("assumption2").textContent.replace("Performance Time: ", "").replace(" minutes", "").trim(); var assumption3 = document.getElementById("assumption3").textContent.replace("Comparison Age: ", "").replace(" years", "").trim(); var assumption4 = document.getElementById("assumption4").textContent.replace("Age Factor: ", "").trim(); var resultText = "— Age-Weighted Running Performance Results —\n\n"; resultText += "Primary Result:\n"; resultText += primaryResult + "\n\n"; resultText += "Key Details:\n"; resultText += "Age Difference: " + ageDiff + " years\n"; resultText += "Estimated Performance at Age " + compAgeText + ": " + compAgePerformance + " minutes\n"; resultText += "Performance Index: " + perfIndex + "\n\n"; resultText += "Assumptions:\n"; resultText += "Current Age: " + assumption1 + " years\n"; resultText += "Performance Time: " + assumption2 + " minutes\n"; resultText += "Comparison Age: " + assumption3 + " years\n"; resultText += "Age Factor: " + assumption4 + "\n\n"; resultText += "Formula: Adjusted Performance = Time * (Factor ^ Age Difference)"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultText; document.body.appendChild(textArea); textArea.select(); try { document.execCommand("copy"); alert("Results copied to clipboard!"); } catch (e) { alert("Failed to copy results. Please copy manually."); } document.body.removeChild(textArea); } // Initial calculation on page load with default values window.onload = function() { calculateAgeWeight(); };

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