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What are the key differences between R and SPSS?

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Hector Cox

Lvl 3
∙ 2y ago
Updated: 6/26/2023

Very generally speaking, SPSS and R are the two industry-leading technologies for SPSS data analysis. The SPSS program is menu-driven and designed for quick and easy statistics. R is more programming-oriented and designed to handle fancier custom statistics. That said, there are many SPSS users who are highly skilled and do things that are just as complicated as any other statistics package. Now, here we learn more key differences between SPSS and R in steps.

  1. SPSS has more interactive and displays data in a spreadsheet whereas R has a less interactive analytical tool but for this editors are available for providing GUI support for programming.

  2. For the decision-making tree, SPSS is better than R because R does not offer tree algorithms. SPSS interface is very understandable and user-friendly whereas R does not offer decision-making tree algorithms but most of the packages of R can only implement CART(Classification and Regression Tree) and their interface is not user-friendly.

  3. In terms of data management, SPSS provides data management functions such as sorting, aggregation, and merging of the table whereas the main drawback of R is that most of its functions have to load all the data into memory before execution.

  4. SPSS platform is the graphical user interface (GUI) written in Java and it uses for interactive and statistical analysis whereas R is written in C and Fortran. Most statistical computing languages have stronger object-oriented programming capabilities than R.

  5. SPSS is not free if someone wants to learn SPSS then he/she has to use the trial version first whereas R is open-source free software.

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Ruben Juden

Lvl 6
∙ 2y ago

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