Taking a class that uses Stata but not sure where to start? If you are asking yourself questions such as How do I get data into Stata? What tools are available for manipulating and cleaning data? How can I create and customize scatterplots, histograms, and other graphs? How do I...
This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods,...
in Stata 17, and how to create PDF, Microsoft Word, and Excel documents using Stata. Juul and Frydenberg provide a thorough introduction to Stata's graphics features and show you how to customize your graphs and export them for publication. Finally, the authors introduce Stata's programming ...
Comment from the Stata technical group Introduction to Time Series Analysis is a concise book that provides an intuitive, but deep, discussion of many methods currently used for estimation and inference in time-series modeling. A nice mix of intuition, formulas, graphs, causal diagrams, and ...
graphs as well as central quantitative methods, like linear (OLS) and binary logistic regressions and matching. Additional information about diagnostical tests ensures that these methods yield valid and correct results that live up to academic standards. Furthermore, users are instructed how to export...
* String (alphanumeric) variables are set to nominal。SPSS 的繪圖:1.直方圖(HISTOGRAM) (Method 1) i) 圖形 Graphs →直方圖 Histogram 進入『Histogram』,點選變數“身高”,按?,將“身高”移到 右方「Variable」(點選左下方的「顯示常態曲線 Display normal curve」)。 ii) 點選右下方「Titles…」→...
The open-source ideology of R programming reflects a huge contrast compared to most traditional programming environments (e.g. SAS, SPSS, Stata etc.), where the software development is in the hands of a paid development team. Why You Should Learn the R Programming Language (Pros & Cons) ...
This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods,...
Lastly, we created a network combining the two networks to show the actual use of drugs with severe DDIs. We used these networks to elucidate how to apply and interpret different network measures in medication networks. Results: Interactive network graphs are made available online, Stata and R ...
in Stata 17, and how to create PDF, Microsoft Word, and Excel documents using Stata. Juul and Frydenberg provide a thorough introduction to Stata's graphics features and show you how to customize your graphs and export them for publication. Finally, the authors introduce Stata's programming ...