![]() Jeff Meyer is a statistical consultant with The Analysis Factor, a stats mentor for Statistically Speaking membership, and a workshop instructor. This is one of the five tips and tricks I’ll be discussing during the free Stata webinar on Wednesday, July 29th. Graph twoway (line lfp year) (line College year) (line Mobil year), ylabel(, angle(horizontal)) In this situation I will use the population variable.Ĭollapse (mean) lfp College Mobil, by(year) You have to determine which variable to use. What if I want to look at variables that are in percentages, such as percent of college graduates, mobility and labor force participation rate (lfp)? In this case I don’t want to sum the values because they are in percent.Ĭalculating the mean would give equal weighting to all counties regardless of size.įortunately Stata gives you a very simple way to weight your data based on frequency. Graph twoway (line Pop year) (line Jobs year), ylabel(, angle(horizontal))īy starting my code with the preserve command it brings my data set back to its original state after providing me with the results I want. I want results that I can copy and paste into a Word document. b) Look for categorical variables and convert (some of) them also to numeric. (SAVE TRANSLATE command) Data can be written in Stata 514 format and in both Intercooled and SE format (version 7 or later). In the Meta-Analysis Control Panel, the columns can be specified on the Forest plot tab of the Forest. Stata Files (SAVE TRANSLATE command) Stata Files. What if I wanted to see some trend information, such as the total population and jobs per decade for all of Alabama? I just want a simple table to see my results as well as a graph. accompanying Stata commands crib sheet.xls, SCCS, acts as a quick reference. column list is a list of column names given by col. Five time periods by 67 counties give me a total of 335 observations. The time frame is in decades, from 1960 to 2000. ![]() I’m currently looking at a longitudinal data set filled with economic data on all 67 counties in Alabama. Collapse allows you to convert your current data set to a much smaller data set of means, medians, maximums, minimums, count or percentiles (your choice of which percentile). Get to know Stata’s collapse command–it’s your new friend. Have you ever worked with a data set that had so many observations and/or variables that you couldn’t see the forest for the trees? You would like to extract some simple information but you can’t quite figure out how to do it. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |