#Or in stata how to#
#Or in stata code#
#Or in stata free#

Graph twoway (line Pop year) (line Jobs year), ylabel(, angle(horizontal))Д«y 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. 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.

Five time periods by 67 counties give me a total of 335 observations. The time frame is in decades, from 1960 to 2000. IвЂ™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 StataвЂ™s collapse commandвЂ“itвЂ™s your new friend.

#Or in stata how to#

Read more about Jeff here.Have you ever worked with a data set that had so many observations and/or variables that you couldnвЂ™t see the forest for the trees? You would like to extract some simple information but you canвЂ™t quite figure out how to do it. Jeff Meyer is a statistical consultant with The Analysis Factor, a stats mentor for Statistically Speaking membership, and a workshop instructor.

#Or in stata free#

This is one of the five tips and tricks IвЂ™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.Д¬ollapse (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 donвЂ™t want to sum the values because they are in percent.Д¬alculating the mean would give equal weighting to all counties regardless of size.ДЇortunately Stata gives you a very simple way to weight your data based on frequency.

Have you ever worked with a data set that had so many observations and/or variables that you couldnвЂ™t see the forest for the trees? You would like to extract some simple information but you canвЂ™t quite figure out how to do it.