Statistics For Rendering Engineers
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Some Statistical Analysis Tools
- G*Power often used to determine the sample size (aka. number of participants) based on the statistical method/s will be used
- Two tools I find very handy, i.e., jamovi and jasp for do the analysis without writing any additional line of code
- Many researchers rely on the statistical software like IBM SPSS or R-Language
- Other than those, the Python is the most powerful for data analysis.
Pythonthere are numerous libraries, e.g., NumPy, SciPy, Pandas are frequently used. Additionally, someone could check Python pingouin for statistical analysis. Someone can usepandasfor data manipulation,SciPyorstatsmodelsfor tests, andmatplotliborseabornfor plotting results. Moreover, If someone wants to work on eye-tracking data analysis, the package, pymovements is very handy.
