Difference between revisions of "Measuring Tools"

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= [[Prior_Art#Danielson.2C_2005.2C_Testing_loads|2-Shot Method]] =
 
= [[Prior_Art#Danielson.2C_2005.2C_Testing_loads|2-Shot Method]] =
[[Prior_Art#Danielson.2C_2005.2C_Testing_loads|Brent Danielson]] described a no-frills method for accumulating arbitrarily large shot sample sets for statistical analysisSince our statistics all depend on the sample radius:
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If you're willing to sacrifice statistical efficiency, [[Prior_Art#Danielson.2C_2005.2C_Testing_loads|Brent Danielson]] noted that you can get away with a single measurement for successive 2-shot groups, instead of the coordinate (''x'', ''y'') measurements of each shot required for the [[Closed_Form_Precision#Rayleigh_Estimates|maximally efficient estimator]]I.e.,
 
# Fire two shots at a single point of aim.
 
# Fire two shots at a single point of aim.
# Measure their center-to-center distance. This produces two radius sample points, both equal to half the measured distance.
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# Measure their center-to-center distance.
# Repeat this process until satisfied with the quantity of data points.
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 +
This produces two sample radii, both equal to half the measured distance.
 +
 
 +
The benefit of this approach is that it only requires one measurement in one dimension for every two shots.  The drawback is that, to get the same statistical confidence, this requires almost double the number of shots as if measuring the coordinates of all the shots in a single group.  (With ''n'' shots split over ''g'' groups, [[Closed_Form_Precision#Confidence_Intervals|the statistical formulas]] show that confidence is an increasing function of (''n-g''), so going from 1 group to ''n''/2 groups requires 2''n''-1 shots.)
 +
 
 
Calculation of sigma from Danielson's sample data, as well as confidence intervals and hypothesis testing, are shown in [[Media:DanielsonExample.xlsx]].
 
Calculation of sigma from Danielson's sample data, as well as confidence intervals and hypothesis testing, are shown in [[Media:DanielsonExample.xlsx]].
  
 
= [http://ontargetshooting.com/ OnTarget] =
 
= [http://ontargetshooting.com/ OnTarget] =
Jeffrey Block's [http://ontargetshooting.com/ OnTarget Precision Calculator] is the most convenient package for converting a target image into data points for analysis. It accounts for scale and distance and automatically calculates [[Describing_Precision#Mean_Radius|Mean Radius]] (called "Average to Center" in the software) and [[Describing_Precision#Extreme_Spread|Extreme Spread]] (called "Max Spread").
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Jeffrey Block's [http://ontargetshooting.com/ OnTarget Precision Calculator] is the most convenient package for converting a target image into data points for analysis. It accounts for scale and distance and automatically calculates [[Describing_Precision#Mean_Radius|Mean Radius]] (called "Average to Center" in the software) and [[Describing_Precision#Extreme_Spread|Extreme Spread]] (called "Max Spread").
  
 
The more expensive [http://ontargetshooting.com/tds/ Target Data System] can automatically identify and aggregate shots on scans of its specially-coded targets.
 
The more expensive [http://ontargetshooting.com/tds/ Target Data System] can automatically identify and aggregate shots on scans of its specially-coded targets.
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 +
= [http://taran.ptosis.ch/taran.html Taran] =
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[http://taran.ptosis.ch/taran.html Taran] (target analysis and shooting precision calculator) is a free online application to upload a target image, mark the points of impact, and download the coordinates of the points. Among others, it also calculates the Rayleigh CEP.
  
 
= [https://github.com/dwoll/shotGroups shotGroups Analysis Package] =
 
= [https://github.com/dwoll/shotGroups shotGroups Analysis Package] =
The free [http://cran.fhcrc.org/web/packages/shotGroups/index.html shotGroups] package for the open-source [http://www.r-project.org/ statistical environment R] provides functions to analyze target groups with respect to their shape, location (accuracy) and spread (precision). Among others, it provides implementions for many [[Circular_Error_Probable|CEP estimators]] and descriptive [[Describing_Precision|precision measures]]. The package works with point data exported from [[#OnTarget|OnTarget]] and also includes functions to plot the group with precision indicators like the bounding box, maximum spread or minimum covering circle.
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The free [http://cran.fhcrc.org/web/packages/shotGroups/index.html shotGroups] package for the open-source [http://www.r-project.org/ statistical environment R] provides functions to analyze target groups with respect to their shape, location (accuracy) and spread (precision). Among others, it provides implementions for many [[Circular_Error_Probable|CEP estimators]] and descriptive [[Describing_Precision|precision measures]]. The package works with point data exported from [[#OnTarget|OnTarget]] or [http://taran.ptosis.ch/taran.html Taran] and includes functions to plot the group with precision indicators like the bounding box, maximum spread or minimum covering circle.
  
The package is also available as a [http://dwoll.shinyapps.io/shotGroupsApp web application] that does not require installing R or using R syntax.
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'''The main functionality of the package is also available as a set of web applications that do not require installing R or using R syntax.:'''
 +
* [http://dwoll.shinyapps.io/shotGroupsApp Comprehensive shot group analysis]
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* [http://dwoll.shinyapps.io/shotGroupsAngular Absolute <-> angular size conversion]
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* [http://dwoll.shinyapps.io/shotGroupsHitProb Region <-> hit probability calculations]
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* [http://dwoll.shinyapps.io/shotGroupsRangeStat Estimate Rayleigh ''σ'' parameter from range statistics]
  
For more information, see the [http://cran.fhcrc.org/web/packages/shotGroups/vignettes/shotGroups.pdf package description] including a walk-through with sample diagrams and the [http://cran.fhcrc.org/web/packages/shotGroups/shotGroups.pdf complete manual for all functions]. After having installed [http://cran.fhcrc.org/bin/windows/base/ R] and [http://www.rstudio.com/ide/download/desktop RStudio], open RStudio and install shotGroups by running: <code>install.packages("shotGroups")</code> . For a first introduction to R, see http://tryr.codeschool.com/ or http://www.statmethods.net/ .
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For more information, see the [http://cran.fhcrc.org/web/packages/shotGroups/vignettes/shotGroups.pdf package description] including a walk-through with sample diagrams and the [http://cran.fhcrc.org/web/packages/shotGroups/shotGroups.pdf complete manual for all functions]. After having installed [http://cran.fhcrc.org/bin/windows/base/ R] and [http://www.rstudio.com/ide/download/desktop RStudio], open RStudio and install shotGroups by running: <code>install.packages("shotGroups")</code> . For a first introduction to R, see:
 +
* http://tryr.codeschool.com/
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* http://www.statmethods.net/
  
 
= Apps =
 
= Apps =

Latest revision as of 12:31, 10 May 2023

Tools and practical methods for measuring and analyzing precision.

2-Shot Method

If you're willing to sacrifice statistical efficiency, Brent Danielson noted that you can get away with a single measurement for successive 2-shot groups, instead of the coordinate (x, y) measurements of each shot required for the maximally efficient estimator. I.e.,

  1. Fire two shots at a single point of aim.
  2. Measure their center-to-center distance.

This produces two sample radii, both equal to half the measured distance.

The benefit of this approach is that it only requires one measurement in one dimension for every two shots. The drawback is that, to get the same statistical confidence, this requires almost double the number of shots as if measuring the coordinates of all the shots in a single group. (With n shots split over g groups, the statistical formulas show that confidence is an increasing function of (n-g), so going from 1 group to n/2 groups requires 2n-1 shots.)

Calculation of sigma from Danielson's sample data, as well as confidence intervals and hypothesis testing, are shown in Media:DanielsonExample.xlsx.

OnTarget

Jeffrey Block's OnTarget Precision Calculator is the most convenient package for converting a target image into data points for analysis. It accounts for scale and distance and automatically calculates Mean Radius (called "Average to Center" in the software) and Extreme Spread (called "Max Spread").

The more expensive Target Data System can automatically identify and aggregate shots on scans of its specially-coded targets.

Taran

Taran (target analysis and shooting precision calculator) is a free online application to upload a target image, mark the points of impact, and download the coordinates of the points. Among others, it also calculates the Rayleigh CEP.

shotGroups Analysis Package

The free shotGroups package for the open-source statistical environment R provides functions to analyze target groups with respect to their shape, location (accuracy) and spread (precision). Among others, it provides implementions for many CEP estimators and descriptive precision measures. The package works with point data exported from OnTarget or Taran and includes functions to plot the group with precision indicators like the bounding box, maximum spread or minimum covering circle.

The main functionality of the package is also available as a set of web applications that do not require installing R or using R syntax.:

For more information, see the package description including a walk-through with sample diagrams and the complete manual for all functions. After having installed R and RStudio, open RStudio and install shotGroups by running: install.packages("shotGroups") . For a first introduction to R, see:

Apps

  • TargetScan (iOS) computes the unbiased estimate of Mean Radius for supported targets.

Spreadsheet Analysis

Given a target data set, whether compiled using the #2-Shot Method or #OnTarget, Closed Form Precision analysis can be performed using standard spreadsheet functions. See, for example Media:CCI 40gr HV 100yd.xlsx or any of the other workbooks linked in the Examples.

Media:RangeStatisticEstimation.xls is spreadsheet for calculating the statistical significance of Range Statistics estimates.