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# Data Stream Statistical Library | ||
# Statistical | ||
> version 1.3.0 | ||
Descriptive statistics for Arduino float arrays | ||
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We developed this library to help quickly accomplish median and mode filtering when collecting sensor data. Functions in this library operate on an array of float variables, of dimension "m", and return the corresponding statistic. This library was originally created for a data smoothing strategy for float variables. Using a median or mode filtering strategy (opposed to mean filtering) is better at removing spikes from aberrant readings. | ||
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A bubble sort algorithm is also contained in this library which was necessary to calculate median and mode. | ||
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### Array Statistics | ||
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Array_Sum | ||
Array_Max | ||
Array_Min | ||
Array_Sq_Sum | ||
Array_Aritmetic_Average | ||
Array_Geometric_Average | ||
Array_RMS_Average | ||
Array_Ext_RMS_Average | ||
Array_Bubble_Sort | ||
Array_Median | ||
Array_Standart_Deviation | ||
Array_Standart_Deviation_Error | ||
Array_Coefficient_Factor | ||
Array_Average | ||
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### Stream Statistics | ||
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Stream_Statistic | ||
Data_Clear | ||
LinearRegression | ||
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Stream_Average | ||
Stream_Minimum | ||
Stream_Maximum | ||
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Linear_Regression_MeanX | ||
Linear_Regression_MeanX2 | ||
Linear_Regression_VarianceX | ||
Linear_Regression_MeanY | ||
Linear_Regression_MeanY2 | ||
Linear_Regression_MeanXY | ||
Linear_Regression_VarianceY | ||
Linear_Regression_CovarianceXY | ||
Linear_Regression_a | ||
Linear_Regression_b | ||
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name=Statistical | ||
version=1.2.0 | ||
version=1.3.0 | ||
author=Gunce Akkoyun <akkoyun@me.com> | ||
maintainer=Gunce Akkoyun <akkoyun@me.com> | ||
sentence=Statistic, Max, Min, Average, Stream, Regression, Slope, Data, Analyse | ||
sentence=Statistic, Sum, Max, Min, Sq_Sum, Aritmetic Average, Geometric Average, RMS Average, Ext RMS Average, Bubble Sort, Median, Standart Deviation, Standart Deviation Error, Coefficient Factor, Average, Stream, Regression, Slope, Data, Analyse | ||
paragraph=Function calculates statistical parameters of data stream and array. | ||
category=Other | ||
category=Data Processing | ||
url=https://github.com/akkoyun/Statistical | ||
architectures=* | ||
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architectures=* |
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