For making data analysis like logistics regression, linear regression etc which softwares is easily available and free to analyse.
https://www.jamovi.org/
https://jasp-stats.org/
https://www.blueskystatistics.com/Default.asp
http://www.sofastatistics.com/home.php
R is another option.
https://lgatto.github.io/2017_11_09_Rcourse_Jena/before-we-start.html
Tanjil Ahmed I think Manoj Kumar Srivastav asked for a "free" software, which SPSS is clearly not....
JASP https://jasp-stats.org/
RStudio https://posit.co/products/open-source/rstudio/
@ Rainer Duesing, may be but the free version of SPSS is available like SPSS 20 or latest version...
or PSPP as the free SPSS replacement: https://www.gnu.org/software/pspp/
Saeeda Abdullah and Nimananda Rijal maybe I am not up to date, where do I get a free version of SPSS (which is not a trial version or v.X or something)? Would be interested. Please send a link.
This one is not free, but you can try it for free during 25 days. Many real examples are included & 100p. manual!
www.lerenisplezant.be/fitting.htm
i have been learning r since the past few months, its a powerhouse of data visualization, nothing out there is as powerful as r. You can also get the required packages( basically the script) for your analysis such as logistic regression, ANOVA, general linear models etc, related to the field of your study on GitHub or CRAN .
I agree with Mayur Wabhitkar. Invest some time to learn a bit of R data visualization functions/packages. You will almost never regret the effort.
Some resources:
- R Graphics Cookbook: https://r-graphics.org/
- https://ggplot2-book.org/getting-started.html
- Data Analysis and Prediction Algorithms with R: http://rafalab.dfci.harvard.edu/dsbook/
- https://www.cedricscherer.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/
DataTab is an alternate wherein you can perfoem logistics regression readily. Its free onlime
Wow, why do you use regression when fewer publications accept it!
Use structural equations instead.
Amos. Smart Pls 4 & Mplus
Much chemical process modelling and/or simulation work can be done with the widely-used Microsoft’s Excel. It is not open source but there are some free-of-charge alternative spreadsheet programs that can fulfill most of 'classic' Excel’s capabilities, common or similar to those of Excel 5.0, even if not present at latest Excel version(s).
Application example ― Simulations carried in Excel 5.0 with Visual Basic for Applications (VBA) macros ― The recursive least squares algorithm (RLS) allows for (real-time) dynamical application of least squares regression to time series. Years ago, while investigating adaptive control and energetic optimization of aerobic fermenters, I have applied the RLS algorithm with forgetting factor (RLS-FF) to estimate the parameters from the KLa correlation, used to predict the O2 gas-liquid mass-transfer, while giving increased weight to most recent data. Estimates were improved by imposing sinusoidal disturbance to air flow and agitation speed (manipulated variables). The power dissipated by agitation was accessed by a torque meter. The proposed (adaptive) control algorithm compared favourably with PID. Simulations assessed the effect of numerically generated white Gaussian noise (2-sigma truncated) and of first order delay. This investigation was reported at (MSc Thesis):
Thesis Controlo do Oxigénio Dissolvido em Fermentadores para Minimi...
Here are some free and easily available software options for regression analysis:
1. R: A widely-used programming language and environment for statistical computing and graphics.
2. Python: A versatile programming language with libraries like NumPy, pandas, and scikit-learn for regression analysis.
3. GNU Octave: A high-level programming language compatible with MATLAB, offering numerical computation capabilities.
4. PSPP: A software package similar to IBM SPSS, providing regression analysis and a user-friendly interface.
5. JASP: A user-friendly software supporting various analyses, including regression models, with both Bayesian and frequentist approaches.
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