首先不建议用Small Stata，能处理的数据太小。Stata/MP估计你也用不上，又不是服务器。 Stata/SE或者Stata/IC就看你的数据大不大了。下面是详细介绍： Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers) Stata/SE: Stata for large datasets Stata/IC: The standard version of Stata Small Stata: A smaller, student version of Stata (for educational purchases only) Stata/MP is the fastest and largest version of Stata. Most computers purchased since mid 2006 can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel CoreTM Duo and the AMD X2 dual-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Stata/SE, Stata/IC, and Small Stata differ in the dataset size that each can analyze. Stata/SE and Stata/MP allow datasets with up to 32,767 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/SE and Stata/MP allow matrices up to 11,000 x 11,000 on computers with sufficient memory. An implication of this is that Stata/SE and Stata/MP can fit models with more independent variables (up to 10,998).
Stata/IC allows datasets with as many as 2,047 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/IC can have at most 798 right-hand-side variables in a model.
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata can have at most 38 right-hand-side variables in a model.
以下是引用concord在2007-8-20 13:33:00的发言： 首先不建议用Small Stata，能处理的数据太小。Stata/MP估计你也用不上，又不是服务器。 Stata/SE或者Stata/IC就看你的数据大不大了。下面是详细介绍： Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers) Stata/SE: Stata for large datasets Stata/IC: The standard version of Stata Small Stata: A smaller, student version of Stata (for educational purchases only) Stata/MP is the fastest and largest version of Stata. Most computers purchased since mid 2006 can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel CoreTM Duo and the AMD X2 dual-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Stata/SE, Stata/IC, and Small Stata differ in the dataset size that each can analyze. Stata/SE and Stata/MP allow datasets with up to 32,767 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/SE and Stata/MP allow matrices up to 11,000 x 11,000 on computers with sufficient memory. An implication of this is that Stata/SE and Stata/MP can fit models with more independent variables (up to 10,998).
Stata/IC allows datasets with as many as 2,047 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/IC can have at most 798 right-hand-side variables in a model.
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata can have at most 38 right-hand-side variables in a model. NIU REN!!!
以下是引用concord在2007-8-20 13:33:00的发言： 首先不建议用Small Stata，能处理的数据太小。Stata/MP估计你也用不上，又不是服务器。 Stata/SE或者Stata/IC就看你的数据大不大了。下面是详细介绍： Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers) Stata/SE: Stata for large datasets Stata/IC: The standard version of Stata Small Stata: A smaller, student version of Stata (for educational purchases only) Stata/MP is the fastest and largest version of Stata. Most computers purchased since mid 2006 can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel CoreTM Duo and the AMD X2 dual-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Stata/SE, Stata/IC, and Small Stata differ in the dataset size that each can analyze. Stata/SE and Stata/MP allow datasets with up to 32,767 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/SE and Stata/MP allow matrices up to 11,000 x 11,000 on computers with sufficient memory. An implication of this is that Stata/SE and Stata/MP can fit models with more independent variables (up to 10,998).
Stata/IC allows datasets with as many as 2,047 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/IC can have at most 798 right-hand-side variables in a model.
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata can have at most 38 right-hand-side variables in a model. 看到这个才明白STATA/IC =intercool. 我用intercool用了很久，一直以为那也是简版；今年才蹭上了SE
- STATA/IC
- STATA/MP
- Small STATA 最后祝大家开学愉快!
Stata/IC allows datasets with as many as 2,047 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/IC can have at most 798 right-hand-side variables in a model.
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata can have at most 38 right-hand-side variables in a model.
首先不建议用Small Stata，能处理的数据太小。Stata/MP估计你也用不上，又不是服务器。 Stata/SE或者Stata/IC就看你的数据大不大了。下面是详细介绍： Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers) Stata/SE: Stata for large datasets Stata/IC: The standard version of Stata Small Stata: A smaller, student version of Stata (for educational purchases only) Stata/MP is the fastest and largest version of Stata. Most computers purchased since mid 2006 can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel CoreTM Duo and the AMD X2 dual-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Stata/SE, Stata/IC, and Small Stata differ in the dataset size that each can analyze. Stata/SE and Stata/MP allow datasets with up to 32,767 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/SE and Stata/MP allow matrices up to 11,000 x 11,000 on computers with sufficient memory. An implication of this is that Stata/SE and Stata/MP can fit models with more independent variables (up to 10,998).
Stata/IC allows datasets with as many as 2,047 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/IC can have at most 798 right-hand-side variables in a model.
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata can have at most 38 right-hand-side variables in a model. NIU REN!!!
首先不建议用Small Stata，能处理的数据太小。Stata/MP估计你也用不上，又不是服务器。 Stata/SE或者Stata/IC就看你的数据大不大了。下面是详细介绍： Stata/MP: The fastest version of Stata (for dual-core and multicore/multiprocessor computers) Stata/SE: Stata for large datasets Stata/IC: The standard version of Stata Small Stata: A smaller, student version of Stata (for educational purchases only) Stata/MP is the fastest and largest version of Stata. Most computers purchased since mid 2006 can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel CoreTM Duo and the AMD X2 dual-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Stata/SE, Stata/IC, and Small Stata differ in the dataset size that each can analyze. Stata/SE and Stata/MP allow datasets with up to 32,767 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/SE and Stata/MP allow matrices up to 11,000 x 11,000 on computers with sufficient memory. An implication of this is that Stata/SE and Stata/MP can fit models with more independent variables (up to 10,998).
Stata/IC allows datasets with as many as 2,047 variables. The number of observations is limited only by the amount of RAM in your computer. Stata/IC can have at most 798 right-hand-side variables in a model.
Small Stata is limited to analyzing datasets with a maximum of 99 variables on approximately 1,000 observations. Small Stata can have at most 38 right-hand-side variables in a model. 看到这个才明白STATA/IC =intercool. 我用intercool用了很久，一直以为那也是简版；今年才蹭上了SE