if you are ok with perl and sql you should have no problem learning java and coding your own routines. if not you could do worse thatn have a look at R.
if you are ok with perl and sql you should have no problem learning java and coding your own routines.if not you could do worse thatn have a look at R.
yes, but he already mentioned SAS. if you want to use stats properly, but don't want to learn stats properly, then what's the point? (not to mention the danger element)
yes, but he already mentioned SAS. if you want to use stats properly, but don't want to learn stats properly, then what's the point?(not to mention the danger element)
SPSS is great for stuff like Multiple Regression, Factor Analysis and basic tests of significant difference like ANOVAs and t tests. There is a syntax editor (which I don't use) as well.
SPSS is great for stuff like Multiple Regression, Factor Analysis and basic tests of significant difference like ANOVAs and t tests. There is a syntax editor (which I don't use) as well.
It can be used perfectly well as a stats package without having to write any of your own code. There's plenty of books and resources on the internet to help you use it.
SPSS was also extortionately expensive last time I looked at it. You seem to have to pay extra for every different thing you want to do and even then you're only licencsed to do it for a period of time before you have to pay up again.
I'd go for R as well.It can be used perfectly well as a stats package without having to write any of your own code. There's plenty of books and resources on the internet to help you use it. SPSS was also extortionately expensive last time I looked a