Agricultural Statistical Software Free Download

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SPAR 3.0














SPAR 3.0 (Statistical Package for Agricultural Research Ver. 3.0)had been primarily developed for the statistical analysis of experimentalresearch data in Plant Breeding and Genetics. SPAR 2.0 was a Windows basedversion of SPAR 1.0 which was on DOS platform. Most of the software packagesare now web enabled and as such there was a need to develop the web basedversion of SPAR 2.0. SPAR 3.0 is a web based system and has been developedusing Microsoft .NET (ASP.NET with C#) technology. It consists of all the modules of dataanalysis which are available in SPAR 2.0. It is user friendly and menu-drivenpackage.

SPAR 3.0 has the following features:

  • Descriptive Statistics Module (Measures ofCentral Tendency,
  • Measures and Coefficients of Dispersion,Generation of Moments,
  • Measures & Coefficients of SkewnessandMeasures of Kurtosis),
  • Estimation of Breeding Values Module(GeneralMean and Scaling Tests),
  • Correlation and Regression Analysis Module(Correlation Analysis, Regression Analysis and Path Analysis),
  • Variance and Covariance Components EstimationModule,
  • Stability Analysis Module,
  • Multivariate Analysis Module viz.,
  • Cluster Analysis,
  • Discriminant Analysis and Principal ComponentAnalysis.
  • Mating Design Analysis Module viz.,
  • Complete Diallel, Partial DiallelLine x Tester (with parents),Line x Tester (without parents),
  • Three way cross,
  • North Carolina Designs I, II, III, DoubleCross Analysis and Complete Online Help with Contents,
  • Index, Search and Favorites facilities.


System Requirements:

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  • Processor- Intel 32/64-bit, Pentium/Dual core
  • Operating System- Microsoft Windows (98, 2000, XP, Vista, Windows 7)/Linux and Macintosh.
  • Minimum RAM- 256 MB
  • Minimum Hard Disk Space- 200 MB, plus document storage




GDM creates, markets, and supports ARM software for managing and summarizing agriculture research experiments. ARM saves time creating trials, analyzing data, and producing the many.

Statistics

Statistical software are specialized computer programs for analysis in statistics and econometrics.

Open-source[edit]

gretl is an example of an open-source statistical package
R statistical software download free
  • ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management
  • ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation
  • Chronux – for neurobiological time series data
  • DAP – free replacement for SAS
  • Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java
  • Fityk – nonlinear regression software (GUI and command line)
  • GNU Octave – programming language very similar to MATLAB with statistical features
  • gnuplot - plotting package with basic linear regression using the stats command
  • gretl – gnu regression, econometrics and time-series library
  • intrinsic Noise Analyzer (iNA) – For analyzing intrinsic fluctuations in biochemical systems
  • JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods
  • Just another Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS
  • JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis
  • KNIME - An open source analytics platform built with Java and Eclipse using modular data pipeline workflows
  • LIBSVM – C++ support vector machine libraries
  • mlpack – open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API)
  • Mondrian – data analysis tool using interactive statistical graphics with a link to R
  • Neurophysiological Biomarker Toolbox – Matlab toolbox for. European Journal of Cardio-Thoracic Surgery. 54: 4–9. doi:10.1093/ejcts/ezy169. PMC6005113.
  • ^Wolfram Language Guide: Statistical Data Analysis

External links[edit]

  • Statistics software at Curlie
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