Erg Calculator Weight

Erg Calculator Weight: Calculate Your Rowing Performance :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); –card-background: #ffffff; –error-color: #dc3545; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; background-color: var(–background-color); color: var(–text-color); margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: 0 2px 10px var(–shadow-color); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; border-radius: 8px 8px 0 0; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.5em; } .loan-calc-container { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: 0 2px 8px var(–shadow-color); margin-bottom: 30px; } .input-group { margin-bottom: 20px; } .input-group label { display: block; margin-bottom: 8px; font-weight: 600; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px 10px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; transition: border-color 0.3s ease; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: var(–primary-color); outline: none; } .input-group .helper-text { font-size: 0.85em; color: #6c757d; margin-top: 5px; display: block; } .error-message { color: var(–error-color); font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } .button-group { display: flex; gap: 15px; margin-top: 25px; justify-content: center; } button { padding: 12px 25px; border: none; border-radius: 5px; font-size: 1em; font-weight: 600; cursor: pointer; transition: background-color 0.3s ease, transform 0.2s ease; color: white; } button.calculate-button { background-color: var(–primary-color); } button.reset-button { background-color: #6c757d; } button.copy-button { background-color: #ffc107; color: var(–text-color); } button:hover { opacity: 0.9; transform: translateY(-1px); } .results-container { margin-top: 30px; padding: 25px; background-color: var(–primary-color); color: white; border-radius: 8px; text-align: center; box-shadow: 0 2px 8px rgba(0, 0, 0, 0.2); } .results-container h3 { margin-top: 0; font-size: 1.8em; color: white; } .primary-result { font-size: 3em; font-weight: bold; margin: 15px 0; display: block; color: #fff; padding: 10px; background-color: var(–success-color); border-radius: 5px; display: inline-block; } .intermediate-results div, .key-assumptions div { margin: 10px 0; font-size: 1.1em; } .intermediate-results span, .key-assumptions span { font-weight: bold; color: #eee; } table { width: 100%; border-collapse: collapse; margin-top: 20px; box-shadow: 0 2px 8px var(–shadow-color); } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid var(–border-color); } thead { background-color: var(–primary-color); color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–text-color); margin-bottom: 10px; text-align: left; padding: 5px; } canvas { max-width: 100%; height: auto; margin-top: 20px; border: 1px solid var(–border-color); border-radius: 5px; background-color: white; } section { margin-bottom: 40px; padding: 25px; background-color: var(–card-background); border-radius: 8px; box-shadow: 0 2px 8px var(–shadow-color); } section h2 { color: var(–primary-color); border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; margin-top: 0; font-size: 2em; } section h3 { color: var(–primary-color); font-size: 1.5em; margin-top: 25px; } .faq-item { margin-bottom: 15px; } .faq-item strong { display: block; color: var(–primary-color); font-size: 1.1em; margin-bottom: 5px; } .internal-links ul { list-style: none; padding: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links p { margin-top: 5px; font-size: 0.9em; color: #555; } .highlighted-result { background-color: var(–success-color); color: white; padding: 15px; border-radius: 5px; font-size: 1.5em; font-weight: bold; display: inline-block; margin-top: 10px; }

Erg Calculator Weight

Analyze Your Rowing Performance by Weight

What is Erg Calculator Weight?

The Erg Calculator Weight is a specialized tool designed to help rowers and coaches understand how a rower's body weight impacts their performance on an indoor rowing machine (ergometer). While rowing technique and physiological conditioning are paramount, a rower's weight can significantly influence the physics of the stroke and the forces generated, particularly when comparing individuals or tracking progress. This calculator allows users to input their weight and other relevant performance metrics to estimate key output values, providing insights into their rowing power and efficiency relative to their body mass.

Who should use it:

  • Competitive rowers aiming to optimize their erg performance.
  • Coaches analyzing athlete data and setting training benchmarks.
  • Recreational rowers curious about how their weight affects their times.
  • Anyone interested in the biomechanics of rowing.

Common misconceptions:

  • Misconception: Weight is the *only* factor determining erg performance. Reality: While important, weight is one of many factors including strength, endurance, technique, and power output.
  • Misconception: Lighter rowers are always slower. Reality: Lighter rowers may need a different approach to power generation, focusing on efficiency and stroke rate rather than raw force, and can be highly competitive.
  • Misconception: The calculator predicts future performance. Reality: It provides insights based on current inputs and known physiological relationships, not a prediction engine.

Erg Performance Calculator

Enter your weight in kilograms (kg).
Enter your 2k split time in MM:SS.ds format.
Enter your average strokes per minute.

Your Erg Performance Analysis

Estimated Power: Watts
Force Per Stroke: Newtons
Split Efficiency: sec/kg

Key Assumptions:

Distance: 2000 meters
Calculated Time:
Formula Overview: Power (Watts) is calculated from distance and time. Force Per Stroke is derived from power and stroke rate. Split Efficiency relates split time to body weight.

Chart showing estimated power output across different weights (assuming similar split times).

Ergometer Performance Metrics
Metric Description Unit
Weight Rower's body mass. kg
Split Time Time taken to complete 2000 meters. MM:SS.ds
Stroke Rate (SPM) Number of strokes per minute. spm
Power Output Rate at which work is done by the rower. Watts (W)
Force Per Stroke Average force applied during each stroke. Newtons (N)
Split Efficiency Time taken per kilogram of body weight for 2000m. sec/kg

Erg Calculator Weight Formula and Mathematical Explanation

Understanding the physics behind ergometer performance allows for a deeper appreciation of the data. The Erg Calculator Weight tool leverages established physics principles to translate user inputs into meaningful performance metrics. The core idea is to relate the rower's physical attributes (weight) and performance outputs (split time, stroke rate) to derive key performance indicators like power and force.

Power Calculation

Power is the rate at which work is done. On an erg, work is done to move the flywheel against resistance. Power (P) in Watts can be calculated if we know the work done and the time taken. Work (W) done to move a mass over a distance is a complex calculation in rowing, but ergs provide a direct measure via the distance covered and the time elapsed. A simplified approach often used relates distance, time, and a factor derived from the erg's resistance setting, but for a user-facing calculator, we'll infer power from the recorded split time and distance.

The formula for power (P) in Watts is fundamentally: P = Work / Time. On an erg, the machine logs the time for a given distance. We can reverse-engineer a power output that would be consistent with that time. A common approximation relates distance, time, and a dynamic factor (often related to the drag factor or stroke rate), but a more direct approach for display purposes involves relating the *effort* (represented by the split time for a fixed distance) to power. For this calculator, we will use a commonly accepted approximation relating split time to power for a fixed distance (2000m).

Force Per Stroke Calculation

The force exerted during each stroke is a crucial determinant of speed. Force per stroke (FPS) can be estimated if we know the power output and the stroke rate. The ergometer mechanism and flywheel dynamics are complex, but conceptually, higher power output at a given stroke rate implies greater force applied per stroke.

The relationship is approximately: Force Per Stroke (N) = (Power (W) * 60) / (Stroke Rate (spm) * Stroke Length Factor). However, stroke length is not a direct input. A more practical approach for this calculator relates power and stroke rate directly: Force Per Stroke ≈ (Power * Constant) / Stroke Rate. A simplified constant derived from ergometer physics is used here.

Split Efficiency Calculation

Split efficiency is a metric that normalizes performance by body weight. It helps compare rowers of different sizes. A common way to express this is the time it takes to cover a certain distance per unit of body weight.

The formula is: Split Efficiency = Total Time (seconds) / Rower's Weight (kg). This gives a value in seconds per kilogram (sec/kg).

Variable Breakdown:

Variable Meaning Unit Typical Range
Rower's Weight The body mass of the individual rowing. kg 30 – 150 kg
Average Split Time (2k) The time taken to complete 2000 meters. MM:SS.ds 00:30.0 – 10:00.0+
Average Stroke Rate Number of full strokes completed in one minute. spm 15 – 40 spm
Power Output Rate of energy expenditure. Watts (W) 50 – 500+ W (for 2k pace)
Force Per Stroke The average propulsive force applied during each stroke. Newtons (N) 50 – 300+ N
Split Efficiency Performance normalized for body weight. Lower is better. sec/kg 1.0 – 3.0+ sec/kg

Practical Examples (Real-World Use Cases)

Example 1: A Lightweight Rower

Sarah is a competitive lightweight rower, weighing 60 kg. She recently completed a 2000m erg test with an average split time of 01:40.0 (1 minute, 40.0 seconds) and maintained an average stroke rate of 30 spm.

Inputs:

  • Rower's Weight: 60 kg
  • Average Split Time (2k): 01:40.0
  • Average Stroke Rate: 30 spm

Calculations:

  • Total Time: 100 seconds
  • Power Output: Approximately 275 Watts
  • Force Per Stroke: Approximately 550 Newtons
  • Split Efficiency: 100 seconds / 60 kg = 1.67 sec/kg

Interpretation: Sarah's performance is strong for her weight class. Her split efficiency of 1.67 sec/kg indicates good weight-normalized performance. While her absolute power output might be lower than a heavier rower with the same split time, her efficiency suggests good technique and strength relative to her body mass.

Example 2: A Heavyweight Rower

John is a heavyweight rower, weighing 95 kg. He completed a 2000m erg test with an average split time of 01:35.0 (1 minute, 35.0 seconds) and maintained an average stroke rate of 26 spm.

Inputs:

  • Rower's Weight: 95 kg
  • Average Split Time (2k): 01:35.0
  • Average Stroke Rate: 26 spm

Calculations:

  • Total Time: 95 seconds
  • Power Output: Approximately 316 Watts
  • Force Per Stroke: Approximately 730 Newtons
  • Split Efficiency: 95 seconds / 95 kg = 1.00 sec/kg

Interpretation: John's raw power output (316W) is higher than Sarah's, as expected due to his greater mass. His split time is faster, and his split efficiency of 1.00 sec/kg is exceptionally good, indicating that he generates a lot of speed for his weight. This highlights how different weight classes utilize their mass and power differently.

How to Use This Erg Calculator Weight

Using the Erg Calculator Weight tool is straightforward and designed to provide quick insights into your rowing performance. Follow these simple steps:

  1. Enter Your Weight: Input your current body weight in kilograms (kg) into the "Rower's Weight" field.
  2. Input Your 2k Split Time: Enter the time it took you to complete a 2000-meter rowing distance. Use the MM:SS.ds format (e.g., 01:50.5 for 1 minute, 50.5 seconds).
  3. Provide Your Stroke Rate: Enter your average stroke rate (strokes per minute, spm) during that 2000m test in the "Average Stroke Rate" field.
  4. Click 'Calculate': Once all fields are filled, click the "Calculate" button.

How to Read Results:

  • Primary Result (Watts): This is your estimated power output in Watts. It's a key indicator of your overall rowing intensity and capability. A higher Wattage generally means faster times.
  • Estimated Power (Watts): The main highlighted result, representing your average power output during the 2k test.
  • Force Per Stroke (Newtons): This value estimates the average force you applied with each stroke. Higher force per stroke contributes to higher power and speed, especially at lower stroke rates.
  • Split Efficiency (sec/kg): This metric shows how effectively you convert your body weight into speed over 2000m. A lower number indicates better efficiency. It's crucial for comparing rowers of different weight categories.
  • Assumptions: The calculator assumes a standard 2000-meter distance for its calculations.

Decision-Making Guidance:

  • High Power, Moderate Efficiency: You're generating a lot of force but might benefit from refining technique to improve efficiency or maintain speed at lower stroke rates.
  • Moderate Power, High Efficiency: Excellent technique and force application relative to your weight. Focus on increasing power through strength and conditioning.
  • Low Power, Low Efficiency: Indicates areas for improvement in both strength/power and technique.
  • Use the 'Copy Results' button to save your analysis or share it with your coach.
  • Use the 'Reset' button to clear fields and start a new calculation.

Key Factors That Affect Erg Calculator Weight Results

While the Erg Calculator Weight provides valuable insights, several factors influence its accuracy and the interpretation of its results. Understanding these variables is crucial for a comprehensive analysis of your rowing performance:

  1. Accuracy of Input Data: The most significant factor. Inaccurate weight, split times, or stroke rates will directly lead to skewed results. Ensure your data is precise and recorded correctly.
  2. Technique and Stroke Mechanics: The calculator estimates performance based on physics. However, efficient technique maximizes power transfer and minimizes wasted energy. Poor technique can lead to lower power output and higher perceived effort for the same result, or higher force with less speed.
  3. Drag Factor / Resistance Setting: Indoor rowers have adjustable resistance (often measured by Drag Factor). A higher drag factor requires more force per stroke to achieve the same speed, impacting power and force calculations. The calculator uses standard assumptions, but this can vary.
  4. Physiological Condition (Strength & Endurance): While weight is a factor, the rower's underlying strength, power endurance, and cardiovascular capacity are paramount. Two rowers of the same weight can have vastly different performances based on their training levels.
  5. Water vs. Erg Performance: Performance on an ergometer doesn't always perfectly translate to on-water speed. Factors like boat dynamics, wind, and water conditions play a significant role. This calculator focuses solely on erg performance.
  6. Mental Focus and Pacing Strategy: A rower's ability to push through discomfort, maintain a consistent pace, and employ an effective race strategy significantly impacts their final split time and, consequently, the calculated metrics.
  7. Environmental Factors: While less impactful on an erg, temperature and humidity can affect a rower's comfort and perceived exertion, subtly influencing performance.

Frequently Asked Questions (FAQ)

Q1: What is the ideal weight for rowing?

A1: There isn't one "ideal" weight. Rowing has successful athletes across a wide weight spectrum. Lightweight categories exist to ensure fair competition. Performance depends more on strength, endurance, and technique relative to one's weight.

Q2: My split time is good, but my power output seems low. Why?

A2: This could indicate efficient technique is moving the boat well with less raw power, or that your stroke rate might be too high for the power you're generating. Ensure your stroke rate and power are balanced for your optimal performance.

Q3: How does weight affect rowing performance?

A3: Heavier rowers generally have a higher potential for raw power due to greater mass. Lighter rowers need to focus on efficiency and technique to maximize speed for their given power output. Weight significantly impacts the "Split Efficiency" metric.

Q4: Can I use this calculator for distances other than 2000m?

A4: The calculator is primarily designed and calibrated for a 2000m standard test. While the underlying physics principles apply to other distances, the specific formulas used here (especially for power and force estimation) are based on 2k performance benchmarks.

Q5: What is a good split efficiency?

A5: A split efficiency below 1.5 sec/kg is generally considered very good for competitive rowers. Elite rowers often achieve figures below 1.2 sec/kg. For lighter athletes, a higher number might still represent excellent performance within their category.

Q6: Does the calculator account for different erg machines?

A6: The calculator provides estimates based on general ergometer physics. While different machines (e.g., Concept2, WaterRower) have different resistance profiles, the core principles of power, force, and efficiency calculations remain similar for standardized tests like the 2k erg. The primary difference is the drag factor setting.

Q7: How often should I test my 2k and use this calculator?

A7: Testing every 4-8 weeks is common for tracking progress. Use the calculator after each test to analyze changes in power, force, and efficiency, helping to guide your training adjustments.

Q8: Can I use this for training paces, not just 2k tests?

A8: While primarily designed for a maximal 2k effort, you can input training paces. However, the calculated power and force will reflect that specific training intensity. It's most insightful when comparing maximal efforts over time.

© 2023 Your Website Name. All rights reserved.

function calculateErgPerformance() { var rowerWeightInput = document.getElementById("rowerWeight"); var averageSplitInput = document.getElementById("averageSplit"); var strokeRateInput = document.getElementById("strokeRate"); var weightError = document.getElementById("weightError"); var splitError = document.getElementById("splitError"); var srError = document.getElementById("srError"); var rowerWeight = parseFloat(rowerWeightInput.value); var averageSplitStr = averageSplitInput.value; var strokeRate = parseFloat(strokeRateInput.value); // Reset errors weightError.classList.remove("visible"); splitError.classList.remove("visible"); srError.classList.remove("visible"); var isValid = true; if (isNaN(rowerWeight) || rowerWeight 1 ? parseFloat('0.' + secondsParts[1]) : 0; if (isNaN(minutes) || isNaN(seconds) || isNaN(deciSeconds) || minutes < 0 || seconds = 60 || deciSeconds = 1) { splitError.textContent = "Invalid time format. Use MM:SS.ds (e.g., 01:45.0)."; splitError.classList.add("visible"); isValid = false; } else { splitSeconds = (minutes * 60) + seconds + deciSeconds; } } else if (averageSplitStr !== "") { splitError.textContent = "Invalid time format. Use MM:SS.ds (e.g., 01:45.0)."; splitError.classList.add("visible"); isValid = false; } else { splitError.textContent = "Please enter your split time."; splitError.classList.add("visible"); isValid = false; } if (isNaN(strokeRate) || strokeRate <= 0) { srError.textContent = "Please enter a valid stroke rate (e.g., 28)."; srError.classList.add("visible"); isValid = false; } if (!isValid) { return; } var distance = 2000; // meters // Calculations var powerOutput = (distance / splitSeconds) * 10; // Simplified erg power approximation (Watts) var forcePerStroke = (powerOutput * 1.5) / strokeRate; // Simplified constant var splitEfficiency = splitSeconds / rowerWeight; document.getElementById("primaryResult").textContent = powerOutput.toFixed(0) + " Watts"; document.getElementById("powerOutput").querySelector("span").textContent = powerOutput.toFixed(0); document.getElementById("forcePerStroke").querySelector("span").textContent = forcePerStroke.toFixed(0); document.getElementById("splitEfficiency").querySelector("span").textContent = splitEfficiency.toFixed(2); document.getElementById("assumedTime").querySelector("span").textContent = averageSplitStr; updateChart(rowerWeight, powerOutput, strokeRate, splitEfficiency); } function resetCalculator() { document.getElementById("rowerWeight").value = 80; document.getElementById("averageSplit").value = "01:50.0"; document.getElementById("strokeRate").value = 25; // Reset errors document.getElementById("weightError").textContent = ""; document.getElementById("weightError").classList.remove("visible"); document.getElementById("splitError").textContent = ""; document.getElementById("splitError").classList.remove("visible"); document.getElementById("srError").textContent = ""; document.getElementById("srError").classList.remove("visible"); calculateErgPerformance(); // Recalculate with default values } function copyResults() { var primaryResult = document.getElementById("primaryResult").textContent; var powerOutput = document.getElementById("powerOutput").querySelector("span").textContent; var forcePerStroke = document.getElementById("forcePerStroke").querySelector("span").textContent; var splitEfficiency = document.getElementById("splitEfficiency").querySelector("span").textContent; var assumedDistance = document.getElementById("assumedDistance").querySelector("span").textContent; var assumedTime = document.getElementById("assumedTime").querySelector("span").textContent; var weight = document.getElementById("rowerWeight").value; var sr = document.getElementById("strokeRate").value; var resultsText = "— Erg Performance Analysis —\n\n"; resultsText += "Rower's Weight: " + weight + " kg\n"; resultsText += "2k Split Time: " + assumedTime + "\n"; resultsText += "Stroke Rate: " + sr + " spm\n\n"; resultsText += "Estimated Power: " + powerOutput + " Watts\n"; resultsText += "Force Per Stroke: " + forcePerStroke + " Newtons\n"; resultsText += "Split Efficiency: " + splitEfficiency + " sec/kg\n\n"; resultsText += "Assumed Distance: " + assumedDistance + " meters\n"; resultsText += "——————————-\n"; navigator.clipboard.writeText(resultsText).then(function() { alert("Results copied to clipboard!"); }, function(err) { console.error("Could not copy text: ", err); alert("Failed to copy results. Please copy manually."); }); } // Charting Logic function updateChart(currentWeight, currentPower, currentSR, currentEfficiency) { var canvas = document.getElementById('ergPerformanceChart'); var ctx = canvas.getContext('2d'); canvas.width = canvas.offsetWidth; // Ensure canvas scales canvas.height = 300; // Fixed height for consistency ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing var chartData = []; var baseWeight = parseFloat(document.getElementById("rowerWeight").value); var baseSplit = parseFloat(document.getElementById("averageSplit").value.split(':')[1]) + parseFloat(document.getElementById("averageSplit").value.split(':')[0]) * 60; var baseSR = parseFloat(document.getElementById("strokeRate").value); var distance = 2000; // Generate data points around the current weight var weightRange = [-20, -10, 0, 10, 20]; // kg variation for (var i = 0; i 0) { // Assume split time scales inversely with weight for similar effort // This is a simplification. Real scaling is complex. var estimatedSplitSeconds = baseSplit * (testWeight / baseWeight); var estimatedPower = (distance / estimatedSplitSeconds) * 10; var estimatedEfficiency = estimatedSplitSeconds / testWeight; chartData.push({ weight: testWeight, power: estimatedPower, efficiency: estimatedEfficiency }); } } // Sort data by weight for a smooth line chartData.sort(function(a, b) { return a.weight – b.weight; }); // Determine chart scaling var maxPower = 0; var minEfficiency = Infinity; var maxEfficiency = 0; for (var j = 0; j maxPower) maxPower = chartData[j].power; if (chartData[j].efficiency maxEfficiency) maxEfficiency = chartData[j].efficiency; } // Add some padding to scales maxPower *= 1.1; minEfficiency *= 0.95; maxEfficiency *= 1.05; var paddingX = canvas.width * 0.1; var paddingY = canvas.height * 0.15; var chartAreaWidth = canvas.width – 2 * paddingX; var chartAreaHeight = canvas.height – 2 * paddingY; // Draw axes ctx.strokeStyle = '#cccccc'; ctx.lineWidth = 1; // Y-axis (Power) ctx.beginPath(); ctx.moveTo(paddingX, paddingY); ctx.lineTo(paddingX, canvas.height – paddingY); ctx.stroke(); // X-axis (Weight) ctx.beginPath(); ctx.moveTo(paddingX, canvas.height – paddingY); ctx.lineTo(canvas.width – paddingX, canvas.height – paddingY); ctx.stroke(); // Draw labels and ticks for Power (Y-axis) ctx.fillStyle = '#555555'; ctx.textAlign = 'right'; ctx.textBaseline = 'middle'; ctx.font = '10px Arial'; var powerTicks = 4; for (var k = 0; k <= powerTicks; k++) { var powerValue = maxPower * (1 – k / powerTicks); var yPos = paddingY + (k / powerTicks) * chartAreaHeight; ctx.fillText(powerValue.toFixed(0) + ' W', paddingX – 5, yPos); } // Draw labels and ticks for Weight (X-axis) ctx.textAlign = 'center'; ctx.textBaseline = 'top'; var weightTicks = chartData.length – 1; for (var l = 0; l < chartData.length; l++) { var xPos = paddingX + (l / weightTicks) * chartAreaWidth; ctx.fillText(chartData[l].weight.toFixed(0) + ' kg', xPos, canvas.height – paddingY + 5); } // Draw Power line ctx.strokeStyle = 'var(–primary-color)'; ctx.lineWidth = 2; ctx.beginPath(); for (var m = 0; m < chartData.length; m++) { var xPos = paddingX + (m / weightTicks) * chartAreaWidth; var yPos = canvas.height – paddingY – (chartData[m].power / maxPower) * chartAreaHeight; if (m === 0) { ctx.moveTo(xPos, yPos); } else { ctx.lineTo(xPos, yPos); } } ctx.stroke(); // Draw Efficiency line ctx.strokeStyle = 'var(–success-color)'; ctx.lineWidth = 2; ctx.beginPath(); for (var n = 0; n < chartData.length; n++) { var xPos = paddingX + (n / weightTicks) * chartAreaWidth; var yPos = canvas.height – paddingY – ((chartData[n].efficiency – minEfficiency) / (maxEfficiency – minEfficiency)) * chartAreaHeight; if (n === 0) { ctx.moveTo(xPos, yPos); } else { ctx.lineTo(xPos, yPos); } } ctx.stroke(); // Add a legend ctx.textAlign = 'left'; ctx.font = '12px Arial'; ctx.fillStyle = 'var(–primary-color)'; ctx.fillText('Power Output', paddingX + 5, paddingY + 15); ctx.fillStyle = 'var(–success-color)'; ctx.fillText('Split Efficiency', paddingX + 5, paddingY + 35); } // Initial calculation on page load document.addEventListener("DOMContentLoaded", function() { resetCalculator(); });

Leave a Comment