Hello everybody.
I just wanted to ask your opinion about an issue. If a researcher doing really well using SPSS, Smart PLS, Lisrel and AMOS, do s/he really need to learn also how to use R, considering the time and effort that s/he need to put in? Will it worth it?
What would you think about it?
Best
Because R is a free software-here lies one of the justification of learning R.
Like Ajit said. R is a free and open source software. Yes. But considering that the cracked versions of popular statistical softwares can be easily downloaded from the internet, I think the next thing I'm going to talk about is more discriminating.
R performs a wide variety of functions, such as data manipulation, statistical modeling, and graphics. One really big advantage of R, however, is its extensibility. Developers can easily write their own software and distribute it in the form of add-on packages.
Because of the relative ease of creating these packages, literally thousands of them exist. In fact, many new statistical methods are published with an R package attached.
No, I don't think so. If SPSS suits your purposes, there is probably no need to learn another package. For 99% of users, it doesn't matter which software package they use. I mean, a linear regression in SPSS is the same as a linear regression in R, is the same as a linear regression in SAS. An important factor for many people is being able to share code for analyses with colleagues. For example, if you are in a field or a business that tends to use SAS, it's helpful to be able to use SAS.
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