WebFeb 7, 2024 · Step 1. Load the following dataset into Stata using the sysuse command. The sysuse command loads into memory an example dataset from Stata's default directory in your computer's hard drive. It is very useful for experimenting with commands. To see a list of all available example datasets, type sysuse dir. WebJul 13, 2016 · All of these tasks can be carried out using just two Stata commands: tabulate (or tab) and summarize (or sum). Getting them to do all these things is simply a matter of …
Customizable tables in Stata 17, part 3: The classic table 1
WebJun 4, 2024 · Click the Analyze tab, then Descriptive Statistics, then Crosstabs: In the new window that pops up, drag the variable Gender into the box labelled Rows and the variable Party into the box labelled … WebSep 5, 2012 · When wanting the tabulated output to anything, whether tabulate or regress or clogit, I always close the current log file and begin a new one, not in the .smcl format but with a .log suffix, handy because usually I want to keep a lot of the values from clogit returns. something along the lines of... *close logs even if there isn't any capture log close … dvi healthcare
stata - How to export tabulations - Stack Overflow
WebFor the independent variable, create a dummy variable that has the value of 1 for South, and 0 otherwise. (You may have created this dummy variable in an earlier assignment and saved it. If not, use the tabulate command with the gen option to ask Stata to create a dummy variable for each category of region). WebJun 24, 2024 · . collect label list result, all Collection: Table Dimension: result Label: Result Level labels: fvfrequency Factor variable frequency fvpercent Factor variable percent mean Mean sd Standard deviation The output tells us that result has four dimensions: fvfrequency, fvpercent, mean, and sd. By default, these levels are stacked on top of each ... WebOct 8, 2024 · Example 1: Plot Multiple Columns on the Same Graph. The following code shows how to generate a data frame, then “melt” the data frame into a long format, then use ggplot2 to create a line plot for each column in the data frame: #load necessary libraries library (ggplot2) library (reshape2) #create data frame df <- data.frame (index=c (1, 2 ... dvi hotels and resorts