![line graph stata line graph stata](http://fintechprofessor.com/wp-content/uploads/2018/04/Plotting-caars-in-Stata.png)
I hope you found your answer but I have another solution that is less elegant, but more intuitive (if you ask me). over time, which is essentially your kind of problem. After all the graph does show black males, white males. I am sure that Marcos Almeida intended you to click on the links at that page and to read some documentation.
#Line graph stata manual
Pos(3) col(1)) ytitle(mean test score) yla(, ang(h)) xla(1/7)In addition to help and manual entries, cond() is documented at and separate is documented at , legend(order(1 "white male" 2 "white female" 3 "black male" 4 "black female") /// Twoway connected mean month if group = 1 /// Label def group 0 "white male" 1 "white female" 2 "black male" 3 "black female" Replace group = 4 if black = 1 & female = 1 Replace group = 3 if black = 1 & female = 0 Replace group = 2 if black = 0 & female = 1 © W.Input studentid testscore month black femaleĮgen mean = mean(testscore), by(month black female)
![line graph stata line graph stata](https://miro.medium.com/max/1400/1*TndeGe0GfRj3_PIznt6odQ.png)
, by(geschl, note("") r1title("Prozent")) To obtain "Prozent" (i.e., per cent) on the right, I had to use an (sub-)option to the by option which I found in a short Stata Journal article by Marteen Buis and Johannes Weiß, which I barely understand (the sub-option, that is it has something to do with text fields), and it goes like this: )īut when I tried to apply this to a combined graph, showing the same figures for men and women separately, that "axis(1)" and "axis(2)" stuff didn't work anymore. Ytitle("absolut (in Millionen)", axis(1)) ytitle("Prozent", axis(2)) /// It employs the feature of distinguishing between two axes, referring to "axis(1)" and "axis(2)" (what follows is only an excerpt). The following graph shows such a case (labels in German), with absolute numbers on the left and percentages on the right. You may indicate this by displaying one scale on the left hand side of the graph and the other one on the right hand side. Let's start with the complex enough example of an overlaid graph, where you might wish to show several lines, with some of them on different scales (typically two). Labeling the axes may be difficult in more complicated cases. So, with some luck you may get a fine graph without too much work. All in all, while it's certainly not a real beauty, I think this is not a plot to be ashamed of. The graph is labelled more or less satisfactorily because I had defined variable and value labels for the variables used. Normally, this is something you will wish to make clear in the title of the graph the note can be suppressed by adding a sub-option to the by option, as in by(EA1990, note("")). Note also the note on the bottom left about the graph being repeated "by EA1990". Note that the scale of the axes is the same in all three displays.
![line graph stata line graph stata](https://i.stack.imgur.com/UcBQA.jpg)
The graph is repeated for three groups, to wit, welfare state regimes according to Esping-Andersen's seminal "Three worlds of welfare capitalism" (Oxford University Press, 1990) (sorry for the German labels). This shows aggregate data for female labour force participation by public expenditure for child care (OECD data). So, let's start with a very simple example. As pointed out in the introduction, I will address these issues by and by. But of course, the challenge to produce a meaningful and appealing graph may rise with the complexity of your graph. As a result, you will have two or more displays side by side, or on top of each eather. As everywhere when by is used, it just means that a command you have written is executed not for all cases, but rather separately for two or more groups. Using by as an option to a graph is very simple, in principle. The latter is meaningful if, for some reason of other, you have to bring together heterogeneous information in a single visual display. You may, second, combine whatever graphs you have produced using indeed the combine command. That is, you will build some graph and tell Stata to do the same thing not once for all cases, but repeatedly for subsets of the data. You may, first, combine graphs for two or more groups in a single display using the by option. The cases I wish to describe here are somewhat more complex. For the time being, the entry collects only some stuff I found more or less incidentally.Ĭombining graphs can mean several things, and it's perhaps not always easy (or straightforward) to distinguish combined graphs from those graphs that show several diagrams in a single graph, i.e., overlaid graphs. Multiple Imputation: Analysis and Pooling StepsĬombining graphs is a complex issue, and I will try to address it more fully in due course.Confidence Intervals with ci and centile.Changing the Look of Lines, Symbols etc.