Enter data
Upload file:
Paste data:
Distance to target
Information from imported file(s)
For details on how to read in data, see the documentation for readDataOT1() , readDataOT2() , readDataSMT() , readDataShotMarker() , readDataMisc() and the shotGroups vignette section 2.1
Settings for group shape
Group shape
For details, see the documentation for groupShape() and the shotGroups vignette section 2.3
Settings for group precision
Group precision
For details, see the documentation for groupSpread() and the shotGroups vignette section 2.4
Settings for group accuracy
Group accuracy
For details, see the documentation for groupLocation() and the shotGroups vignette section 2.5
Settings for group comparisons
Compare groups
For details, see the documentation for compareGroups() and the shotGroups vignette section 2.6
Save results as text file Save diagrams as pdfSettings for target plot
Target plot
For details, see the documentation for drawGroup() and the shotGroups vignette section 3.3
Save diagram as pdfSimulated ring count (requires a selected target)
For details, see the documentation for simRingCount() and the shotGroups vignette section 3.4
About
The shotGroups package for R provides functions to read in, plot, statistically describe, analyze, and compare shooting data with respect to group shape, precision, and accuracy. This includes graphical methods, descriptive statistics, and inference tests using standard, but also non-parametric and robust statistical methods. The data can be imported from files produced by OnTarget PC and OnTarget TDS , TARAN , ShotMarker e-target , Silver Mountain e-target , SIUS e-target , or from custom data files in text format with a similar structure. For further explanations and an example walkthrough, see the package vignette . Many statistical methods are described on Ballistipedia .
shotGroups and this web application are written by:
Daniel
Wollschläger
<dwoll@kuci.org>
Source code shotGroups
Source code shiny app
More shotGroups web applications
Absolute
angular size conversions:
http://shiny.imbei.uni-mainz.de:3838/shotGroups_AngularSize/
Region
hit probability calculations:
http://shiny.imbei.uni-mainz.de:3838/shotGroups_HitProb/
Estimate Rayleigh sigma from range statistics:
http://shiny.imbei.uni-mainz.de:3838/shotGroups_RangeStat/
References
This web application is built with R, shiny, and bs4Dash. The shotGroups package uses functionality provided by the R packages boot, coin, CompQuadForm, energy, mvoutlier, and robustbase:
Canty, A., & Ripley, B. D. (2023). boot: Bootstrap R (S-Plus) Functions.
https://CRAN.R-project.org/package=boot
Duchesne, P., & Lafaye de Micheaux, P. (2010). Computing the distribution
of quadratic forms: Further comparisons between the Liu-Tang-Zhang
approximation and exact methods. Computational Statistics and Data
Analysis, 54 (4), 858-862.
https://CRAN.R-project.org/package=CompQuadForm
Filzmoser, P., & Gschwandtner, M. (2023). mvoutlier: Multivariate
outlier detection based on robust methods.
https://CRAN.R-project.org/package=mvoutlier
Granjon, D. (2022). bs4Dash: A 'Bootstrap 4' Version of 'shinydashboard'.
https://CRAN.R-project.org/package=bs4Dash
Hothorn, T., Hornik, K., van de Wiel, M. A., & Zeileis, A. (2008).
Implementing a Class of Permutation Tests: The coin Package. Journal of
Statistical Software, 28 (8), 1-23.
https://www.jstatsoft.org/v28/i08/
https://CRAN.R-project.org/package=coin
R Core Team (2023). R: A language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria.
https://www.R-project.org/
Rizzo, M. L., & Szekely, G. J. (2023). energy: E-statistics
(energy statistics).
https://CRAN.R-project.org/package=energy
Rousseeuw, P. J., Croux, C., Todorov, V., Ruckstuhl, A., Salibian-Barrera, M.,
Verbeke, T., & Maechler, M. (2023). robustbase: Basic Robust Statistics.
https://CRAN.R-project.org/package=robustbase
RStudio Inc. (2023). shiny: Web Application Framework for R.
https://CRAN.R-project.org/package=shiny
https://shiny.rstudio.com/
Wollschlaeger, D. (2023). shotGroups: Analyze shot group data.
https://CRAN.R-project.org/package=shotGroups
https://github.com/dwoll/shotGroups/
- development version