Stata/SE, Intercooled Stata, Small Stata
Stata/SE, Intercooled Stata, and Small Stata differ in the size of the dataset that each one can analyze and the maximum length of string variables. Here is a general guideline:
- Stata/SE — Stata for large datasets
- Intercooled Stata — the “standard” version of Stata
- Small Stata — a smaller, “student” version of Stata
Stata/SE
Stata/SE allows datasets with up to 32,766 variables. The limit of observations is based on the amount of RAM in your computer. Stata/SE allows datasets to contain longer string variables — variables up to 244 characters long. Stata/SE also allows matrices up to 11,000 x 11,000 on computers with sufficient memory. An implication of this is that Stata/SE can estimate models with more independent variables (up to 10,998) and can estimate certain panel-data models with larger time-series within panel.
Intercooled Stata
Intercooled Stata allows datasets with as many as 2,047 variables. The limit of observations is based on the amount of RAM in your computer. Intercooled Stata allows string variables to contain a maximum of 80 characters. In addition, Intercooled Stata can have at most 798 right-hand-side variables in a model.
Small Stata
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata allows string variables to contain a maximum of 80 characters. Small Stata can have at most 38 right-hand-side variables in a model.
Requirements
Stata/SE Intercooled Stata Small Stata
Memory 128 MB 128 MB 128 MB
Disk space 60 MB 60 MB 60 MB
以上是Stata的三个版本（7.0似乎只有两个版本？）；之所以看Stata，一是因为很久以前周伟斌大哥拜托的ROC分析至今还未仔细看完，Stata软件也没怎么用；二是因为Brunel University这位Yuwei Hu同学找我帮忙改Stata程序，说实在的，我还真是不太会，不过已经打算明天抽2小时自学Stata然后解决问题，不知道能否拿下。今日去听易丹辉老师的统计预测课，仍觉得讲得有些慢，推导计算时，显得有些繁琐。不过大师级人物到底还是大师，口中是会有一针见血的话语的，这就要看听众的注意力了。这节课上，我也算花了半小时看她用EViews，觉得有些“开窍”，看来突破EViews大关也是指日可待。
时间紧迫，不搞“爆炸式学习”根本不行。要不然整天淹没在一堆杂事中，我这学期就废了。另：今天数了数，一天之中一共35封邮件——又一天平常的日子过去了。庆军师兄，小虎师兄，咱都加油吧！
再另：今天得知“R for Beginners”已经初步翻译整理完了，王学枫把初稿发给我看了看，感觉还不错。这个翻译小组中还有李军焘大人、丁国徽大人，不胜荣幸啊；另外还有传说中的华东师范大学汤银才博士作了最后的整理和排版。