Simple and powerful progress time estimation (ETA) for JavaScript
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Updated
Aug 6, 2024 - TypeScript
Simple and powerful progress time estimation (ETA) for JavaScript
Calculate the standard error of the mean for a double-precision floating-point strided array.
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
데이터 분석에 필요한 기초 수학 with Python
📖 + ⏱️ More accurate reading time estimates like Medium
Converts numbers into a more human-friendly format. E.g. 123456 becomes 123k. Similar to `ls -lh` or Stack Overflow's reputation numbers.
📈 Estimate effects, contrasts and means based on statistical models
QDOB - Quasi-periodic Disturbance Observer
Examples of agents for neodroid environments 💡
An Implementation of the Rapid Assessment Method for Older People (RAM-OP)
Estimates the size of minified and gzipped/brotlied JavaScript, CSS and HTML files.
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