Today’s article is specifically designed for those who work or study in the statistics field. This field is quite tough, and to preserve the data and calculation, some software may be of great help to you.
To ease your burden and take care of all your information, Linux has come up with some prodigious software that will work as your helping hand and lead you to the right track.
As you know, econometric software and statistical software almost belong to the same category. In this article, you will find an amalgamation and combination of these two Linux software. By doing this, it will also be easier for you to search the software easily.
Best Econometric and Statistical Software for Linux
The software we will discuss will hopefully come to your help and fulfill all your demands. Please remember that this software does not follow any particular order, and all the features are not included here.
1. R Project for Statistical Computing
R project is a software environment where statistical computing and graphics are done. To make R easier to use, you can download RStudio. R is an open source and free econometrics tool and statistical analysis software.
It is ductile software, and you can do a wide range of work through this software. R is a mobile software that provides the facilities for data manipulation, mathematical calculation, and graphical display.
R is not ordinary software; rather, it has an abundance of intermediate tools for data analysis and statistical programming. One of the R’s idiosyncratic qualities is producing perfectly designed plots, which include mathematical symbols, conditional loops, and many other notable facilities.
2. Gretl
Gretl is a cross-platform, free, and open-source statistical software and econometric software for Linux. C programming language is used to write it. This software can interact through various languages, making it easier for us to use.
Gretl’s data is exchangeable with GNU R, GNU Octave, Python, etc. It supports various data formats like XML data files, Comma Separated Values, Excel, Gnumeric, etc. Gretl is comparatively easier to use than other related software.
This software supports multiple estimates, including least squares maximum likelihood, single equations, etc. Gretl also has numerous function packages, which are written in hansL.
3. Grocer: An Econometric Toolbox for Scilab
Like Gauss and Matlab, Grocer is a matrix-based statistics program. Grocer mostly does the jobs which are done by commercial software. It is free, open source econometric software that has been specially designed for scilab.
It performs various tests like ADF, KPSS, CADF, Johansen, etc. Besides these jobs, it also has the feature of handling various business cycle tools. The grocer can sort out the perfect linear model from a huge set of data, too.
4. GeoDa
GeoDa is a free, cross-platform data analysis software package and a spatial data analysis tool that operates spatial spontaneity and modeling. This is a powerful tool to get these jobs perfectly done.
Besides these, you can also make it perform basic linear regression. It transforms various file formats into one file and further transforms data in various formats. For example- .csv to .dbf.
5. Stata
Stata is a data analysis software package that you will be able to use without paying any annual license fees. It can work fast and gives an accurate output. Stata masters your data and can contribute to data manipulation, visualization, statistics, etc. It is a cross-platform software that provides highly efficient technical support.
6. PSPP
PSPP is a free, open-source Linux econometric software that is slightly different from other software. You can use this software in multiple ways, which is quite reliable. Its graphical interface is highly commendable. This software supports billions of variables and cases. It has the capability to import information from spreadsheets, text files, etc.
7. Deducer Data Analysis Software
Deducer software has been made for using propriety data analysis software like SPSS, IMP, Minitab, etc. This software has a menu system that operates analytical jobs, information manipulation, etc. Deducer data analysis software is designed in such a way that it allows itself to be used with Java-based R console JR. This is free software.
8. JASP – Statistical Analysis Software
JASP is a dynamic Linux statistical analysis tool for statistical analysis and other statistics-oriented jobs. This software supports a spreadsheet layout facility. You can easily get the results and perpetuate your data. This feature will help you with your further calculations. JASP has a user-friendly interface.
9. SOFA Statistics
This statistics program comes with a wonderful output system. This software enables the users to take various tests like histograms, scatterplots, pie charts, etc. It simultaneously reports Python script export.
You can import data from Excel, Google Docs, spreadsheets, and so on and export information in Excel format. SOFA is a free statistical analysis tool for Linux.
10. Root
Root is one of the greatest statistical analysis software for Linux. The root is an object-based program that has the ability to solve high-energy physics data and equations. This software is a bit highly qualitative and not for beginners.
Root was chiefly designed for analyzing particle physics data, but currently, it has also been used in other fields like astronomy and data mining. This software works as a standard mathematical function. The root is used for both C++ and Python.
11. Dap Project for Statistics and Graphics
Dap is a small Linux statistical analysis tool that is based on the C programming language. It has the capability to read SBS programs. Someone acquainted with the basic syntax of C programming can easily learn the features of dap and use it in a relaxed way. Instead of reading all the files in the memory, DAP reads one line at a time.
Concluding Thoughts
Given the above discussion, it can be said that this software is really helpful for doing statistical and econometric-related jobs. This Linux econometric and statistical software will do your jobs nicely, and you will definitely like the software. Here, we have sorted out the best software for your convenience.
Do you like this set of statistical analysis software? Did we miss any important data analysis software on our list? If so, please let us know in the comment section to include that in the next revision. And don’t forget to share this content with your friends and family on your social network.
