Dear Dr Kamal,

both are very well-known statistical packages. Maybe it would help you to get a trial version of each of them. Then you could test them on your own dataset and decide which one you feel more comfortable with.

Yours sincerely,

Rainer

My experience in the pharmaceutical industry suggests that SAS is the predominant statistical package used in that industry. While R may be somewhat more flexible, I've never seen it used in the pharmaceutical industry.

Best of luck in your career.

If Stephen Hurt is correct, and there is no reason to suspect otherwise, then it might be wise to learn both (or even more). Obviously, I am not trying to suggest becoming a power user of each. Many of us have a preference and still maintain the ability to use different software. It helps, especially when communicating with scholars and practitioners who may only be familiar with one.

Since R is open source and essentially free it continues to gain in popularity (along with Python). The market for statistical software is dynamic and trying to gauge the future is challenging; however, if the past is a good indicator, then look forward to change.

Thank you Dr. Spiegel, Dr. Hurt and Dr. Catlett.

I really appreciate your thoughtful suggestions.

As a learner of R, I found it good and easy. You can try.

Thank you.

Dear Kamal

SAS is wonderful for you. However, it is too costly. On the other hand, R is totally free. So, make decision which one is more appropriate for you.

Regards,

MMH

Dear Dr. Nasrullah and Dr. Hossain,

Thank you for your suggestions!