麻烦
发表于 2025-3-21 17:45:42
书目名称R for Stata Users影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0820018<br><br> <br><br>书目名称R for Stata Users读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0820018<br><br> <br><br>
BINGE
发表于 2025-3-21 23:31:23
http://reply.papertrans.cn/83/8201/820018/820018_2.png
Minutes
发表于 2025-3-22 01:02:07
Installing and Updating R,Stata and R are somewhat similar in that both are modular. Each comes with a single “binary” executable file and a large number of individual functions or commands. These are text files that users can modify in a text editor. Both applications come with their own built-in text editors, and both allow the use of outside text editors as well.
degradation
发表于 2025-3-22 05:03:23
http://reply.papertrans.cn/83/8201/820018/820018_4.png
令人心醉
发表于 2025-3-22 09:58:57
Programming Language Basics,R is an object-oriented language. Everything that exists in it — variables, data sets, functions (commands) — are all objects.
CEDE
发表于 2025-3-22 16:14:40
Data Acquisition,R can read or import data from a wide range of sources. It includes a data editor for manual input, and it can access files in text as well as Stata format. For other topics, such as reading importing data from relational databases, see the R Data Import/Export manual .
激怒某人
发表于 2025-3-22 19:39:13
Selecting Variables,In Stata, selecting variables for an analysis is simple, while selecting observations is often a bit more complicated. In R, these two processes can be almost identical. As a result, variable selection in R can at times be somewhat more complex. However, since you need to learn that complexity to select observations, it is not much added effort.
Derogate
发表于 2025-3-23 00:18:55
http://reply.papertrans.cn/83/8201/820018/820018_8.png
Inclement
发表于 2025-3-23 02:37:07
Data Management,There is an old rule of thumb that says 80% of your data analysis time is spent transforming, reshaping, merging, and otherwise managing your data. Stata has a reputation of being more flexible than R for data management. However, as you will see in this chapter, R can do everything that Stata can do on these important tasks.
Maximize
发表于 2025-3-23 05:59:56
Enhancing Your Output,As we have seen, R output is quite sparse and not nicely formatted for word processing. As in Stata, you can improve R’s output by adding value and variable labels. You can also format the output to make beautiful tables to use with word processors, web pages, and document preparation systems.