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...
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 ...
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 ...
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...
Advanced users may not see the value in using the interface, and the more people learn about Stata, the less they will rely on the interface. Also, even when you are using the interface, it is still important to save a record of the sequence of commands you run. Although I rely on ...
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) ...
* 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…」→...
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,...
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 ...