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470 packages found
Sparse, adaptive, scalable histogram in TypeScript
The bunchmark statistical routines.
- statistics
- stats
- median
- MAD
- median absolute deviation
- quickselect
- percentile
- quantile
- Mann
- Whitney
- U
- Wilcoxon
- rank-sum
- sf
- View more
A Quick and Precise Library for Calculating the Median Value of an Array of Numbers (Typed or Untyped)
An agnostic pagination package for JavaScript.
[Deprecated] Performs mathematical aggregations on an array of numbers
- Itential
- IAP
- artifacts
- jst
- transformation
- GroupBy
- group
- sql
- mathematics
- maths
- sum
- product
- maximum
- minimum
- View more
Fast implementation of median search using quickselect algorithm
Utility functions for working with statistics.
A JavaScript client for Keen.IO
Computes the median of an array.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- central tendency
- median
- array
- avg
- average
- numeric array
Node project to have data manipulation and analysis, parallel to pandas
Linear time selection algorithm for ndarrays
Computes quantiles for an array ignoring non-numeric values.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- quantile
- quantiles
- percentile
- percentiles
- median
- array
- min
- View more
A collection of statistical methods including mean, mode, median, range, variance, standard deviation, sum and product
Engineering statistics and data analysis
Common typescript ready prototypes available in both CommonJS and ECMAScript
- server-side
- client-side
- common
- typescript
- prototype
- array
- all
- any
- append
- average
- chunk
- clone
- compact
- contains
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Get the median of an array of numbers.
Computes the truncated mean of an array.
- compute.io
- compute
- computation
- mathematics
- math
- statistics
- stats
- mean
- median
- average
- avg
- arithmetic
- trimmed
- truncated
- View more
Computes the median of an array ignoring non-numeric values.
An Angular Library, that gives you a hussle free experience on data operation using pipes
- ngx
- ng
- angular
- pipes
- filters
- library
- ngx pipes
- angular filters
- angular pipes
- pipe
- operation
- string
- array
- object
- View more
Now, you can calculate the sum, average, mode, median, range, variance, and standard deviation for the given array of numbers.