Average Baby Weight Percentile Calculator

Average Baby Weight Percentile Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.5em; } .calculator-section { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .calculator-section h2 { text-align: center; margin-top: 0; margin-bottom: 20px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: red; font-size: 0.8em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } .button-group { text-align: center; margin-top: 30px; } button { background-color: var(–primary-color); color: white; border: none; padding: 12px 25px; border-radius: 5px; cursor: pointer; font-size: 1em; margin: 0 10px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.reset-button { background-color: #6c757d; } button.reset-button:hover { background-color: #5a6268; } button.copy-button { background-color: #17a2b8; } button.copy-button:hover { background-color: #138496; } .results-container { margin-top: 30px; padding: 25px; background-color: var(–primary-color); color: white; border-radius: 8px; text-align: center; box-shadow: var(–shadow); } .results-container h3 { color: white; margin-top: 0; margin-bottom: 15px; } .primary-result { font-size: 2.5em; font-weight: bold; margin-bottom: 15px; display: inline-block; padding: 10px 20px; background-color: var(–success-color); border-radius: 5px; } .intermediate-results div, .key-assumptions div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results span, .key-assumptions span { font-weight: bold; } .formula-explanation { font-size: 0.9em; color: #e0e0e0; margin-top: 15px; border-top: 1px solid #444; padding-top: 10px; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; box-shadow: var(–shadow); } th, td { padding: 12px 15px; text-align: left; border: 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(–primary-color); margin-bottom: 10px; caption-side: top; text-align: left; } canvas { display: block; margin: 20px auto; background-color: var(–card-background); border-radius: 4px; box-shadow: var(–shadow); } .article-content { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-top: 30px; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 1.5em; } .article-content li { margin-bottom: 0.8em; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid var(–primary-color); background-color: #f0f8ff; } .faq-item strong { color: var(–primary-color); } .related-tools { margin-top: 30px; padding: 20px; background-color: #eef; border-radius: 8px; } .related-tools h3 { margin-top: 0; color: var(–primary-color); } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 10px; } .related-tools a { font-weight: bold; } .related-tools span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } header h1 { font-size: 1.8em; } button { margin: 5px 5px; padding: 10px 15px; font-size: 0.9em; } .primary-result { font-size: 2em; } }

Average Baby Weight Percentile Calculator

Understand Your Baby's Growth

Baby Weight Percentile Calculator

Enter baby's weight in pounds (lbs).
Enter baby's age in months.
Boy Girl Select baby's gender.

Your Baby's Weight Percentile

Mean Weight: lbs
Median Weight: lbs
Standard Deviation: lbs

Key Assumptions:

Gender:
Age: months
Formula Explanation: Percentiles are calculated using standard growth charts and statistical methods (like Z-scores) that compare your baby's weight to other babies of the same age and gender. A higher percentile means your baby weighs more than a larger percentage of babies of the same age and gender.

Baby Weight Percentile Data Table

Chart shows typical weight ranges for the selected age and gender.

Typical Weight Ranges by Age and Gender (Approximate)
Age (Months) Gender 5th Percentile (lbs) 50th Percentile (lbs) 95th Percentile (lbs)

What is Average Baby Weight Percentile?

The average baby weight percentile is a way to measure your baby's growth relative to other babies of the same age and sex. It's not about whether your baby is "big" or "small" in an absolute sense, but rather how their weight compares to the typical range. For instance, if your baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and gender, and less than 25%. Understanding these percentiles helps parents and healthcare providers monitor healthy development and identify potential concerns early on.

Who should use it? This calculator is primarily for parents, expectant parents, pediatricians, and healthcare providers who want to track a baby's growth trajectory. It's a tool to supplement professional medical advice, not replace it. It can be particularly useful for identifying babies who might be growing significantly faster or slower than expected.

Common misconceptions: A common misconception is that babies should always be in the 50th percentile. This is not true; a wide range of percentiles (typically between the 5th and 95th) are considered normal and healthy. Another misconception is that a baby's percentile should remain constant throughout their life. While consistency is good, fluctuations are also normal, especially in the first year. The key is a steady growth pattern.

Baby Weight Percentile Formula and Mathematical Explanation

Calculating the exact percentile for a baby's weight involves complex statistical models based on extensive growth data, often using the World Health Organization (WHO) or Centers for Disease Control and Prevention (CDC) growth charts. These charts are typically based on Z-scores or LMS (Lambda-Mu-Sigma) methods.

A simplified explanation involves comparing the baby's weight to the mean (average) and standard deviation for their age and gender. The Z-score is calculated as:

Z = (Baby's Weight - Mean Weight) / Standard Deviation

The Z-score is then used to find the corresponding percentile using a standard normal distribution table (or a computational equivalent). The LMS method is more sophisticated, accounting for the changing shape of the distribution over time.

For practical purposes, calculators like this one use pre-computed tables or algorithms derived from these statistical models.

Variables Table:

Variables Used in Percentile Calculation
Variable Meaning Unit Typical Range (Infants)
Baby's Weight The measured weight of the infant. Pounds (lbs) 2.5 – 10+ lbs
Baby's Age The infant's age since birth. Months 0 – 24 months
Baby's Gender Biological sex of the infant. Categorical (Boy/Girl) N/A
Mean Weight The average weight for infants of the same age and gender. Pounds (lbs) Varies significantly by age
Standard Deviation (SD) A measure of the spread or dispersion of weights around the mean. Pounds (lbs) Varies significantly by age
Percentile The percentage of infants of the same age and gender whose weight is at or below the baby's weight. % 0 – 100%

Practical Examples (Real-World Use Cases)

Let's look at two scenarios to understand how the average baby weight percentile calculator works:

Example 1: A Healthy Full-Term Baby

Inputs:

  • Baby's Weight: 8.2 lbs
  • Baby's Age: 3 months
  • Baby's Gender: Girl

Calculation: Using the calculator, we input these values. The tool references growth chart data for 3-month-old girls. Let's assume the data indicates a mean weight of 13.5 lbs and a standard deviation of 1.5 lbs for this group.

Z = (8.2 - 13.5) / 1.5 = -5.3 / 1.5 = -3.53

A Z-score of -3.53 typically corresponds to a very low percentile, perhaps around the 0.2nd percentile. This might indicate the baby is underweight compared to peers and warrants a discussion with a pediatrician.

Interpretation: This baby weighs less than 99.8% of 3-month-old girls. While not necessarily a problem if the baby is otherwise healthy and gaining weight consistently, it's a significant deviation from the average and should be monitored closely by a healthcare professional.

Example 2: A Larger Baby

Inputs:

  • Baby's Weight: 17.0 lbs
  • Baby's Age: 6 months
  • Baby's Gender: Boy

Calculation: For a 6-month-old boy, let's assume the growth chart data shows a mean weight of 16.8 lbs and a standard deviation of 2.0 lbs.

Z = (17.0 - 16.8) / 2.0 = 0.2 / 2.0 = 0.1

A Z-score of 0.1 is very close to the mean and corresponds to a percentile slightly above the 50th, perhaps around the 54th percentile.

Interpretation: This baby is slightly heavier than average for their age and gender, weighing more than 54% of 6-month-old boys. This is well within the normal range and indicates healthy growth.

How to Use This Average Baby Weight Percentile Calculator

Using our average baby weight percentile calculator is straightforward. Follow these steps:

  1. Enter Baby's Weight: Accurately measure your baby's weight in pounds (lbs) and enter it into the "Baby's Weight" field. Ensure you use a reliable scale.
  2. Enter Baby's Age: Input your baby's age in months into the "Baby's Age" field. Be precise with the age.
  3. Select Baby's Gender: Choose "Boy" or "Girl" from the dropdown menu. Growth charts differ between genders.
  4. Calculate: Click the "Calculate Percentile" button.

How to Read Results:

  • Primary Result (Percentile): This is the main output, showing the percentile your baby falls into (e.g., 75th). This means your baby weighs more than 75% of babies of the same age and gender.
  • Mean Weight: The average weight for babies of the same age and gender.
  • Median Weight: The middle value; 50% of babies weigh less, and 50% weigh more.
  • Standard Deviation: Indicates the typical spread of weights around the mean.
  • Key Assumptions: Confirms the gender and age used in the calculation.

Decision-Making Guidance:

Remember, percentiles are just one part of the picture. Always consult your pediatrician. If your baby is consistently above the 95th percentile or below the 5th percentile, or if their percentile changes dramatically over time, discuss it with your doctor. They will consider other factors like length, head circumference, feeding habits, and overall health.

Key Factors That Affect Average Baby Weight Percentile Results

Several factors influence a baby's weight and, consequently, their percentile. Understanding these can provide context to the calculator's results:

  1. Genetics: Just like adults, babies inherit predispositions for body size and growth rate from their parents.
  2. Nutrition & Feeding: Adequate intake of breast milk or formula is crucial. Factors like feeding frequency, volume, and the baby's ability to latch or take a bottle significantly impact weight gain.
  3. Gestational Age at Birth: Premature babies may start with a lower weight and catch up over time, affecting their percentile trajectory. Full-term babies have a more predictable starting point.
  4. Health Conditions: Underlying medical issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, or infections, can affect weight gain.
  5. Activity Level: While less impactful in early infancy, a baby's energy expenditure can play a role.
  6. Birth Weight: A baby born significantly larger or smaller than average (e.g., due to maternal diabetes or placental issues) will start at a different percentile point and may follow a unique growth curve.
  7. Infant Feeding Method: While both breastfeeding and formula feeding can lead to healthy growth, the specific dynamics and caloric intake can differ.
  8. Maternal Health During Pregnancy: Factors like maternal weight gain, diet, and overall health can influence fetal growth and birth weight.

Frequently Asked Questions (FAQ)

Q1: Is a low baby weight percentile always a problem?
A1: Not necessarily. A low percentile (e.g., below the 10th) isn't automatically a concern if the baby is healthy, active, meeting developmental milestones, and gaining weight steadily along their growth curve. However, it warrants discussion with a pediatrician to rule out any underlying issues.
Q2: What is considered a "normal" baby weight percentile?
A2: Generally, percentiles between the 5th and 95th are considered within the normal range for healthy growth. The 50th percentile represents the average.
Q3: Should my baby's weight percentile stay the same?
A3: It's common for a baby's percentile to fluctuate slightly, especially in the first few months as they establish feeding patterns. Significant or rapid shifts up or down across percentiles might require medical attention. Consistency along a growth curve is often more important than hitting a specific percentile.
Q4: How accurate are online baby weight percentile calculators?
A4: These calculators are generally accurate when using data from reputable sources like the WHO or CDC. However, they provide estimates based on statistical averages. Always rely on your pediatrician's assessment, which considers your baby's individual health context.
Q5: My baby was born premature. How does that affect their percentile?
A5: Premature babies are often assessed using corrected age and specific growth charts for preemies initially. Their growth trajectory might differ, and they may "catch up" in weight and length over time. This calculator is best used for full-term babies or after consulting with a healthcare provider about corrected age.
Q6: What's the difference between weight percentile and BMI percentile for babies?
A6: For infants and young children, weight-for-age percentiles are commonly used. BMI-for-age percentiles become more relevant as children get older, as they account for both weight and height relative to age. This calculator focuses on weight-for-age.
Q7: My baby is in the 90th percentile. Should I be worried about them being overweight?
A7: Being in the 90th percentile simply means your baby weighs more than 90% of babies their age and gender. It doesn't automatically mean they are overweight. Pediatricians assess this using BMI-for-age percentiles and consider the baby's overall health and growth pattern.
Q8: How often should I check my baby's weight percentile?
A8: Regular check-ups with your pediatrician (typically monthly for the first few months, then less frequently) are the best way to monitor growth. You can use this calculator between visits for informational purposes, but don't obsess over daily or weekly changes.

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// Dummy data for growth charts – replace with actual data or a more robust lookup mechanism // Data structure: { gender: { age_in_months: { mean: value, sd: value, p5: value, p50: value, p95: value } } } var growthData = { 'boy': { 0: { mean: 7.6, sd: 1.1, p5: 5.5, p50: 7.6, p95: 9.7 }, 1: { mean: 9.0, sd: 1.2, p5: 6.7, p50: 9.0, p95: 11.3 }, 2: { mean: 10.2, sd: 1.3, p5: 7.8, p50: 10.2, p95: 12.6 }, 3: { mean: 11.3, sd: 1.4, p5: 8.7, p50: 11.3, p95: 13.9 }, 4: { mean: 12.2, sd: 1.4, p5: 9.5, p50: 12.2, p95: 14.9 }, 5: { mean: 13.0, sd: 1.5, p5: 10.2, p50: 13.0, p95: 15.8 }, 6: { mean: 13.7, sd: 1.5, p5: 10.8, p50: 13.7, p95: 16.6 }, 7: { mean: 14.3, sd: 1.6, p5: 11.3, p50: 14.3, p95: 17.3 }, 8: { mean: 14.8, sd: 1.6, p5: 11.8, p50: 14.8, p95: 17.8 }, 9: { mean: 15.3, sd: 1.7, p5: 12.2, p50: 15.3, p95: 18.3 }, 10: { mean: 15.7, sd: 1.7, p5: 12.6, p50: 15.7, p95: 18.7 }, 11: { mean: 16.0, sd: 1.7, p5: 12.9, p50: 16.0, p95: 19.1 }, 12: { mean: 16.3, sd: 1.8, p5: 13.2, p50: 16.3, p95: 19.4 } }, 'girl': { 0: { mean: 6.8, sd: 1.0, p5: 4.8, p50: 6.8, p95: 8.8 }, 1: { mean: 8.0, sd: 1.1, p5: 5.9, p50: 8.0, p95: 10.1 }, 2: { mean: 9.0, sd: 1.2, p5: 6.9, p50: 9.0, p95: 11.1 }, 3: { mean: 9.8, sd: 1.2, p5: 7.6, p50: 9.8, p95: 12.0 }, 4: { mean: 10.5, sd: 1.3, p5: 8.2, p50: 10.5, p95: 12.8 }, 5: { mean: 11.1, sd: 1.3, p5: 8.7, p50: 11.1, p95: 13.5 }, 6: { mean: 11.6, sd: 1.4, p5: 9.1, p50: 11.6, p95: 14.1 }, 7: { mean: 12.0, sd: 1.4, p5: 9.5, p50: 12.0, p95: 14.5 }, 8: { mean: 12.4, sd: 1.4, p5: 9.8, p50: 12.4, p95: 14.9 }, 9: { mean: 12.7, sd: 1.5, p5: 10.1, p50: 12.7, p95: 15.3 }, 10: { mean: 13.0, sd: 1.5, p5: 10.3, p50: 13.0, p95: 15.6 }, 11: { mean: 13.2, sd: 1.5, p5: 10.5, p50: 13.2, p95: 15.9 }, 12: { mean: 13.4, sd: 1.5, p5: 10.6, p50: 13.4, p95: 16.1 } } }; var chartInstance = null; function getGrowthData(gender, ageMonths) { var genderKey = gender === 0 ? 'boy' : 'girl'; if (growthData[genderKey] && growthData[genderKey][ageMonths]) { return growthData[genderKey][ageMonths]; } return null; // Data not available for this age/gender } function calculateZScore(weight, mean, sd) { if (sd === 0) return 0; // Avoid division by zero return (weight – mean) / sd; } // Approximation function for percentile from Z-score (using a simplified logistic function) // This is a rough approximation. Real charts use more complex methods. function getPercentileFromZScore(z) { // Clamp z-score to a reasonable range to avoid extreme values z = Math.max(-4, Math.min(4, z)); // Logistic function approximation: 1 / (1 + exp(-k * (x – x0))) // Adjust k and x0 for better fit if needed. This is a basic representation. var k = 1.5; // Steepness var x0 = 0; // Center point (corresponds to 50th percentile) var percentile = 100 / (1 + Math.exp(-k * z)); return Math.round(percentile * 10) / 10; // Round to one decimal place } function validateInput(id, errorId, min, max, isRequired = true) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = input.value.trim(); var isValid = true; if (isRequired && value === ") { errorElement.textContent = "This field is required."; isValid = false; } else if (value !== ") { var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.textContent = "Please enter a valid number."; isValid = false; } else if (min !== null && numValue max) { errorElement.textContent = "Value cannot be greater than " + max + "."; isValid = false; } else { errorElement.textContent = ""; // Clear error } } else { errorElement.textContent = ""; // Clear error if optional and empty } errorElement.classList.toggle('visible', !isValid); return isValid; } function calculatePercentile() { var babyWeight = parseFloat(document.getElementById('babyWeight').value); var babyAgeMonths = parseInt(document.getElementById('babyAgeMonths').value); var babyGender = parseInt(document.getElementById('babyGender').value); // 0 for Boy, 1 for Girl var weightError = document.getElementById('babyWeightError'); var ageError = document.getElementById('babyAgeMonthsError'); var isWeightValid = validateInput('babyWeight', 'babyWeightError', 0, 50); // Max weight reasonable for infants var isAgeValid = validateInput('babyAgeMonths', 'babyAgeMonthsError', 0, 24); // Age up to 24 months if (!isWeightValid || !isAgeValid) { document.getElementById('results-container').style.display = 'none'; return; } var genderText = babyGender === 0 ? 'Boy' : 'Girl'; var data = getGrowthData(babyGender, babyAgeMonths); if (!data) { weightError.textContent = "Data not available for this age."; weightError.classList.add('visible'); document.getElementById('results-container').style.display = 'none'; return; } var meanWeight = data.mean; var sd = data.sd; var p5 = data.p5; var p50 = data.p50; var p95 = data.p95; var zScore = calculateZScore(babyWeight, meanWeight, sd); var percentile = getPercentileFromZScore(zScore); document.getElementById('primary-result').textContent = percentile + 'th'; document.getElementById('mean-weight').querySelector('span').textContent = meanWeight.toFixed(1); document.getElementById('median-weight').querySelector('span').textContent = p50.toFixed(1); document.getElementById('std-dev').querySelector('span').textContent = sd.toFixed(1); document.getElementById('gender-assumption').querySelector('span').textContent = genderText; document.getElementById('age-assumption').querySelector('span').textContent = babyAgeMonths + ' months'; document.getElementById('results-container').style.display = 'block'; updateChart(babyGender, babyAgeMonths, p5, p50, p95, babyWeight, percentile); populateTable(babyGender, babyAgeMonths); } function populateTable(babyGender, babyAgeMonths) { var tableBody = document.getElementById('percentileTableBody'); tableBody.innerHTML = "; // Clear previous rows var genderKey = babyGender === 0 ? 'boy' : 'girl'; var data = growthData[genderKey]; // Add a row for the selected age if (data && data[babyAgeMonths]) { var row = tableBody.insertRow(); row.insertCell(0).textContent = babyAgeMonths; row.insertCell(1).textContent = genderKey.charAt(0).toUpperCase() + genderKey.slice(1); row.insertCell(2).textContent = data[babyAgeMonths].p5.toFixed(1); row.insertCell(3).textContent = data[babyAgeMonths].p50.toFixed(1); row.insertCell(4).textContent = data[babyAgeMonths].p95.toFixed(1); } // Add a few more rows for context if available var agesToShow = [3, 6, 9, 12]; agesToShow.forEach(function(age) { if (age !== babyAgeMonths && data && data[age]) { var row = tableBody.insertRow(); row.insertCell(0).textContent = age; row.insertCell(1).textContent = genderKey.charAt(0).toUpperCase() + genderKey.slice(1); row.insertCell(2).textContent = data[age].p5.toFixed(1); row.insertCell(3).textContent = data[age].p50.toFixed(1); row.insertCell(4).textContent = data[age].p95.toFixed(1); } }); } function updateChart(babyGender, babyAgeMonths, p5, p50, p95, babyWeight, percentile) { var ctx = document.getElementById('weightPercentileChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var genderKey = babyGender === 0 ? 'boy' : 'girl'; var labels = []; var p5Data = []; var p50Data = []; var p95Data = []; var babyWeightData = []; // Generate data points for the chart (e.g., for the selected age and a few surrounding ages) var startAge = Math.max(0, babyAgeMonths – 2); var endAge = Math.min(12, babyAgeMonths + 2); // Limit to max age in our dummy data for (var age = startAge; age <= endAge; age++) { labels.push(age + 'm'); var dataPoint = growthData[genderKey][age]; if (dataPoint) { p5Data.push(dataPoint.p5); p50Data.push(dataPoint.p50); p95Data.push(dataPoint.p95); // Add baby's weight only for the specific age if it matches if (age === babyAgeMonths) { babyWeightData.push(babyWeight); } else { babyWeightData.push(null); // No data point for baby's weight at other ages } } else { p5Data.push(null); p50Data.push(null); p95Data.push(null); babyWeightData.push(null); } } chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [{ label: '5th Percentile', data: p5Data, borderColor: 'rgba(255, 99, 132, 0.8)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: '50th Percentile (Median)', data: p50Data, borderColor: 'rgba(54, 162, 235, 0.8)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1 }, { label: '95th Percentile', data: p95Data, borderColor: 'rgba(75, 192, 192, 0.8)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1 }, { label: "Baby's Weight", data: babyWeightData, borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 0.5)', pointRadius: 6, pointHoverRadius: 8, type: 'scatter', // Use scatter for the single point showLine: false // Don't draw a line for this dataset }] }, options: { responsive: true, maintainAspectRatio: true, scales: { y: { beginAtZero: false, title: { display: true, text: 'Weight (lbs)' } }, x: { title: { display: true, text: 'Age (Months)' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Baby Weight Percentile Chart (' + (genderKey.charAt(0).toUpperCase() + genderKey.slice(1)) + ')' } } } }); } function resetCalculator() { document.getElementById('babyWeight').value = ''; document.getElementById('babyAgeMonths').value = ''; document.getElementById('babyGender').value = '0'; // Default to Boy document.getElementById('babyWeightError').textContent = ''; document.getElementById('babyWeightError').classList.remove('visible'); document.getElementById('babyAgeMonthsError').textContent = ''; document.getElementById('babyAgeMonthsError').classList.remove('visible'); document.getElementById('results-container').style.display = 'none'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Clear table document.getElementById('percentileTableBody').innerHTML = ''; } function copyResults() { var primaryResult = document.getElementById('primary-result').textContent; var meanWeight = document.getElementById('mean-weight').textContent; var medianWeight = document.getElementById('median-weight').textContent; var stdDev = document.getElementById('std-dev').textContent; var gender = document.getElementById('gender-assumption').textContent; var age = document.getElementById('age-assumption').textContent; var assumptions = gender + ", " + age; var textToCopy = "Baby Weight Percentile Results:\n\n" + "Primary Result: " + primaryResult + "\n" + meanWeight + "\n" + medianWeight + "\n" + stdDev + "\n\n" + "Key Assumptions:\n" + assumptions; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(textToCopy); }); } else { fallbackCopyTextToClipboard(textToCopy); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial setup for chart and table on load if default values are present document.addEventListener('DOMContentLoaded', function() { // Optionally trigger calculation if default values are set, or just prepare empty state // For now, we'll just ensure the canvas element is ready. // A user must interact to see data. var canvas = document.getElementById('weightPercentileChart'); if (canvas) { var ctx = canvas.getContext('2d'); // Initialize with empty chart or placeholder chartInstance = new Chart(ctx, { type: 'line', data: { labels: [], datasets: [] }, options: { responsive: true, maintainAspectRatio: true, plugins: { legend: { display: false }, title: { display: true, text: 'Baby Weight Percentile Chart' } }, scales: { y: { beginAtZero: false, title: { display: true, text: 'Weight (lbs)' } }, x: { title: { display: true, text: 'Age (Months)' } } } } }); } });

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