Search Results for "sample"
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Showing 30 open source projects for "sample"
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
...It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation. -
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qmcalc2
Programmable graphical scientific calculator
Full featured graphical scientific calculator modeled after actual commercial hand held scientific calculators. Fully tested and error free (as far as I know). Comes with HTML documentation, test files and sample calculator scripts. Win Xp / Linux. Works also for Windows 7 Professional and Ultimate edition. -
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Bridge.jl
A statistical toolbox for diffusion processes
Statistics and stochastic calculus for Markov processes in continuous time, include univariate and multivariate stochastic processes such as stochastic differential equations or diffusions (SDE's) or Levy processes. -
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Power Analytics for Excel
Data Science made available for Excel
This plugin for Excel comes with statistical methods such as Muliple Regression, Analysis of Variance (ANOVA) and Distribution Tests. -
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DEBay
Deconvolutes qPCR data to estimate cell-type-specific gene expression
DEBay: Deconvolution of Ensemble through Bayes-approach DEBay estimates cell type-specific gene expression by deconvolution of quantitative PCR data of a mixed population. It will be useful in experiments where the segregation of different cell types in a sample is arduous, but the proportion of different cell types in the sample can be measured. DEBay uses the population distribution data and the qPCR data to calculate the relative expression of the target gene in different cell types in the sample. The user manual of DEBay: https://sourceforge.net/projects/debay/files/UserManual.pdf Sample data: https://sourceforge.net/projects/debay/files/Test_data/ Citation Information: Vimalathithan Devaraj, Biplab Bose. ... -
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High speed math parser
Expression evaluator for Delphi developers
...Please note that the samples do not require components installation (however installation is possible and in case when installed you find the components on "Samples" page of the pallete). You may open the Delphi project file (*.dpr) in the sample folder and simply run it. Fully functional TGraph component -
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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...Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice. The code is open source but you are requested to give credits if used. Additionally, it also has some useful functions for exporting and generating publication quality figures for different kind of figures in MATLAB
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JStats
JStats is a Java application/applet for statistical testing.
JStats is a small but powerful Java application/applet for conducting statistical tests. The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient,... -
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LDT
Automatic Time Series Analysis with Stationary VAR Models
LDT is designed for automatic time-series analysis. Current version focuses on stationary vector autoregressive models (VAR) and the related analyses such as forecasting and Granger causality. See the following paper for an application: See http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2818213 -
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runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior. -
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Template Code Set for JModelica
This is a template Python code set to use JModelica easily.
This is a template Python code set which makes it easy to use JModelica to solve optimal control problem. The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details. -
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Mumps Solver for Visual Studio
Visual studio C and C++ projects to build and use mumps sparse solver
Project consist of a WinForm to modify Mumps source files in order to compile and use them under the 64-bit or 32-bit windows environment and to create necessary VS 2010 projects/solution to compile the source code. On the code tab you can find the sample Mumps solver solution with 6 projects. Two projects are a mumps wrapper library - dynamic and static. And other four projects are testing projects - two are C++ (linking static or dynamic wrapper library) and two are C (again linking static or dynamic library). Please check the blog posts about the use and the additional explanation of the projects or send me a mail if any difficulties arise. ... -
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MattsMathTools
MathTools is an aid in preparing printed math tests.
Matt's MathTools is a Java application designed as an aid in preparing printed math tests. It is easily embedded in other Java applications or it can be used alone as a single-user desktop app. It includes a scripting environment, numerous demonstration classes and several general utilities. A scripting tutorial is also available. -
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pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
...also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
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...It includes functions for plotting (gplots), data manupulation (gdata), modeling (gmodels), and programming tools (gtools), creation and management of sub-processes (fork), determing sample sizes for -omics experiments (ssize), and a variety of other packages.
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Diagonal
A command line toolki to solve a problem your favorite program defines
Diagonal can be used for: - getting descriptive statistics such as mean/median/mode with your program producing a sample - finding a root of an equation your program defines - calculating a fixed point of a function your program defines - detecting a cycle of a fuction your program defines as well as - decoding a VCDIFF file -
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BiomeNet
BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES
...The basic idea is that the mixture components of the model (metabolic reactions, subnetworks, and networks) are shared across all groups (microbiome samples), but the mixture proportions vary from group to group. Through this framework, the model can capture nested structures within the data. BiomeNet is unique in modeling each metagenome sample as a mixture of complex metabolic systems (metabosystems). -
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EMsieve
A simple sieve/prefactor program for Eisenstein-Mersenne Primes
...See http://oeis.org/A125743, A125744. After sieving, the Berrizbeitia-Iskra or a Proth test can be run; this is best implemented with FFT mod (3^3p+1) using GWNUM library. A sample implementation (a patch to the LLR program) is available from Batalov. [1] P.Berrizbeitia B.Iskra, 2010; http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.189.311 [2] OEIS: http://oeis.org/ -
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x2x (xbit2xbyte\xbyte2xbit)
Converts xbits to xbytes, and back again if needed.
xbit2xbyte and xbyte2xbit are designed as sample programs for programmers new to C# as well as a learning tool for the author. These two programs also fulfilled a genuine need to convert to xbits (megabit usually) to xbytes (megabytes, again usually) when dealing with things such as cartridge sizes ,which are generally expressed in megabits, and something the author frequently encountered. -
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Ruby computational geometry library. Shape/Line/Point classes, methods to test shape intersection (using ray-casting algorithm); includes XML parsing script (& sample xml file) to test intersection of shapes documented as ordinal point set in xml.
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A population-based method for DNA copy number analysis: recurrent copy number aberration indentification in multiple samples (with no need of single-sample calling). Developed for a quick analysis of high resolution and large population data.
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Sample implementation of multi-shift BiCGstab(ell) inverters, single-pass, double-pass and pseudo-double-pass as published in PoS of Lattice 2010.
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SimulME is a Java ME (J2ME) application with Queueing calculator, Stopwatch, Monte Carlo simulation, Random Number Generator (RNG), Probability distributions, Kolmogorov-Smirnov and Chi-square tests. It works with MIDP 2.0 and CLDC 1.1 profiles.
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Develop a basic understanding of the behavior of polar spherical coordinates through selected examples. Provide sample files for diverse mathematics engines
