Statistical Analysis Software Portable ^NEW^

IBM® SPSS® Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets your organization quickly extract actionable insights from your data. Advanced statistical procedures help ensure high accuracy and quality decision making. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.

StatPlus enables you to perform analytical and statistical calculations such as basic statistics, ANOVA, non-parametric and regression analysis, time series analysis and forecasting, survival analysis, power analysis and variety of other methods.Statistical charts, data transformations and data sampling are also supported.

Gwyddion is Free and Open Source software, covered byGNU General Public License.It aims to provide a modular program for 2D data processing andanalysis that can be easily extended by third-party modules and scripts.Moreover, thanks to being free software, it provides the source code todevelopers and users, which makes easier both verification of its dataprocessing algorithms and further program improvements.

MaxStat Lite combines powerful tools for statistical data analysis which was designed for people with little background in statistic, but also for experts looking for free and easy-to-use statistical and charting software.

ADaMSoft stands for: Data Analysis and Statistical Modeling software (in italian: Analisi Dati e Modelli Statistici) which performs Principal component analysis, Text mining, Web Mining, Analysis of three ways time arrays, Linear regression with fuzzy dependent variable, Utility, Synthesis table, Import a data table (file) in ADaMSoft (create a dictionary), Charts and Neural network (MLP).

Salstat is an open source and free application whose goal is to remove the challenges faced by data analysts when analyzing data and allows numeric data and statistical analysis to be done in an easy way.

Statistical software are programs which are used for the statistical analysis of the collection, organization, analysis, interpretation and presentation of data.Statistical Analysis is the science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends and these are applied every day in research, industry and government to become more scientific about decisions that need to be made. Statistical Software helps in analysis of data.

SAS University Edition, GNU PSPP, Statistical Lab, Develve, Shogun, DataMelt, GNU Octave, SOFA Statistics, Dataplot, SciPy, Zelig, Scilab, Gretl, OpenStat, Past, MacAnova, MaxStat Lite version, SageMath, Epi Info, NIMBLE, Arc, ADaMSoft, CumFreq, OpenMx, Salstat, Statcato, Stan, IDAMS, OpenEpi, BV4.1, pbdR, GNU Data Language, Dap, Simfit, First Bayes, MicrOsiris, Ploticus, NCAR Command Language, Perl Data Language, Yorick, EasyReg, IVEware, ViSta, StatCVS, WinBUGS, JAGS, WINPEPI, ADMB are some of the top free statistical analysis software.

The features of Statistical Software includes analysis of variance, bayesian analysis, regression analysis, reporting/analytics, statistical process control, survey sampling and analysis and visualization.

Effective processing of character strings is required at various stages of data analysis pipelines: from data cleansing and preparation, through information extraction, to report generation. Pattern searching, string collation and sorting, normalization, transliteration, and formatting are ubiquitous in text mining, natural language processing, and bioinformatics. This paper discusses and demonstrates how and why stringi, a mature R package for fast and portable handling of string data based on ICU (International Components for Unicode), should be included in each statistician's or data scientist's repertoire to complement their numerical computing and data wrangling skills.

Cloud-based computing has created new avenues for innovative research. In recent years, numerous cloud-based, data analysis projects within the biomedical domain have been implemented. As this field is likely to grow, there is a need for a unified platform for the developing and testing of advanced analytic and modeling tools that enables those tools to be easily reused for biomedical data analysis by a broad set of users with diverse technical skills. A cloud-based platform of this nature could greatly assist future research endeavors. In this paper, we take the first step towards building such a platform. We define an approach by which containerized analytic pipelines can be distributed for use on cloud-based or on-premise computing platforms. We demonstrate our approach by implementing a portable biomarker identification pipeline using a logistic regression model with elastic net regularization (LR-ENR) and running it on Google Cloud. We used this pipeline for the diagnosis of Parkinson's disease based on a combination of clinical, demographic, and MRI-based features and for the identification of the most predictive biomarkers.

A list of all the software required and currently implemented in Sarek. All analysis and quality metrics software are installed automatically when Sarek is launched. P, Preprocessing; G, Germline; S, Somatic; snv, Single-nucleotide variants and small indels; sv, Structural variants; pp, Ploidy and sample purity; a, Annotation.

This manuscript describes Sarek, a workflow for analyzing next-generation sequencing (NGS) data. Sarek is based on Nextflow, a popular tool for defining computational workflows. In order to process NGS data, i.e., generating annotated variant calls ready for downstream analyses, multiple complex software tools need to be executed. This is not only computationally demanding, but also labor-intensive due to operators having to install and maintain a complicated collection of software as well as diagnose failed analysis runs, often resulting in high management overhead compared to the total computation time (Yakneen and Waszak, 20201). Sarek aims to minimize the installation and management time overhead by building a NGS workflow on top of Nextflow, automatically installing the required software components. These software consist of some of the state-of-the-art tools in read mapping, variant calling and annotation and quality control. Sarek is a welcome addition to the toolkit of bioinformaticians looking for an NGS analysis workflow, which can be easily installed on a HPC cluster or cloud environment. The article is well-written and clear to understand. While I'm happy to recommend indexing of the manuscript also in the present form, I have a few suggestions how to improve it:

R is a free software environment for statistical computing andgraphics. It compiles and runs on a wide variety of UNIX platforms,Windows and MacOS. To download R,please choose your preferred CRAN mirror.

Please note: This website is just to present information about statistical software which is free to use. We aren't making recommendations or endorsing anything, just presenting information. We haven't tested most of these, so can't say how well they work. If you find any problems with any of the websites or packages, please let us know.

GeneralPackages: No package doeseverything, but these programssupport a wide variety of statistical analyses. CompletelyFree... can be freely downloaded andused in their fully-functional mode (no strings attached) Free,but... "demonstration" or "studentversions" of commercial packages; can be freely downloaded, but areusually restricted or limited in some way. Gnumeric-- a high-powered spreadsheet with better statistical features thanExcel. Has 60 extra functions, basic support for financial derivatives(Black Scholes) and telecommunication engineering, advanced statisticalanalysis, extensive random number generation, linear and non-linearsolvers, implicit intersection, implicit iteration, goal seek, andMonte Carlo simulation tools. It is not yet available for Windows

InVivoStat is a free to use, statistical Windows program which uses R as its statistics engine. It is designed specifically for scientists conducting animal experiment. The user interface is both easy to use and intuitive to the non-statistician. The main modules is Summary statistics, Single and Repeated Measures Parametric analysis, P-value analysis and Power analysis. Additional modules includes Dose/Response, Paired T-test, Chi-square and Fisher's test, Correction, Survival and regression analysis.

jamovi -- a new "3rd generation" statistical spreadsheet based on R It has a very nice user interface making is easy to create or load and edit data including computed variables and apply statistical analysis. For now there is only a few functions available compared to R's great many packages, but the setup makes it relatively easy for skilled users to add new functions. Thus it's expected that more functions will be available from the online library in the near future. New modules on meta-analysis, mixed linear effects models, general linear models, robust statistics been added recently. It's contributed to the scientific community by the people behind JASP.It's free and opensource. Jamovi is available for download for Windows (Vista and above), macOS (Mavericks and above) and Ubuntu (Xenial and Yakkety). 2b1af7f3a8