When using options, you have to bear in mind that there are several variables. By default, the two y variables will be distinguished by different colours, and a legend will be added to the plot. Here, variables "unempl" and "atypjobs" will be plotted against "gdp". You may plot more than one y variable against the x variable, as in This, and many other things, may again be influenced by various options. Note that Stata uses combinations of colours and petals to signal the density in a given are. Therefore you will have to extend the axes with the help of the xsc and ysc options.Īnother way to deal with data points that would overlap in a simple scatterplot is a sunflower plot. Note that scatter does not automatically adapt the plot axes to the data range that is actually expanded by jittering it will use the original range of the variables. Scatter trustcourt trustpolit, jitter(10)
Line graph stata trial#
1, which will result in no regression line at all).Ī jittered plot adds some random noise around each data point, with the value in parentheses referring to the size of the noise as percentage of the graphical area (some trial and error may be required here): 8 (with the exception of number larger than 0 and smaller than. Actually, you can use other numbers as well, but these will default to. The former will yield a graph that zigzags from one data point to the next. The default value (.8) can be changed with the bwidth(#) option, where # is any number between. How close the lowess plot follows the data is defined by the bandwidth. To display a smoothed regression line, use the lowess command instead: Graph twoway (lfit income tenure) scatter income tenure To add a (linear) regression line to the graph, you have to use the extended version of the command which starts with graph twoway. For more detail, see the entry on changing elements of graphs. this may either be a string variable or a numeric variable with labels. A prerequisite if of course that there is a variable with the pertinant labels. Note finally that you may add labels the data points, which is helpful, e.g., if your data refer to a small number of cases (such as countries, types of car, etc). Scatter trustcourt trustpolit, mstyle (p4) ms(d) If you want to use all the settings of style p4, but with diamonds instead of circles, you may write For instance, marker style "p4" displays symbols in a colour that looks beige to me, and it uses circles for symbols. You can combine global marker styles with more specific styles. There are also fifteen predefined marker styles that define combinations of colour, symbols and so on, see help markerstyle.
![line graph stata line graph stata](https://i.stack.imgur.com/QUvRK.png)
A list of symbols available can be found via help symbolstyle. (with ms as an abbreviation for msymbol) will use small "diamonds" instead of circles to display the data. There are many options specific to scatterplots. When overlaying twoway graphs, you will always have to start the command line either with graph twoway or at least with twoway.
Line graph stata full#
Note that this version is a shortcut for the full command graph twoway scatter income tenure. This will plot income (y axis) against tenure (x axis). Note that the graph need not sorted by any of the variables that appear in the graph it may as well be sorted by some other variable. Will show the category with the lowest income on top of the graph and will proceed to the higher categories. Graph dot income, over(status, sort(income)) Note("Source: XY data, own calculations")Įven more than in the case of box plots, the real use of dot plots lies in comparing the values several groups, as in:Īgain, many options are available, among which one stands out in particular: It is, sort, which is a suboption to, over. Title("Income by social groups in 2002") ytitle("Income") /// Outergap(*3) medtype(cline) medline(lwidth(medium) lcolor(gs0) ) /// Graph box income, over(status) scheme(s1mono) intensity(0) aspectratio(2) /// Here is a more elaborate version that uses a number of options to create a look that I like.
![line graph stata line graph stata](https://www.stata.com/support/faqs/graphics/gph/graphdocs/twoway-time-series-line-plot-with-connected-points/tsline3.png)
The final two entries are devoted to more complex graphs, where several elements are overlaid or where several graphs are combined in a singple plot.īox plots were already described in the "univariate charts" entry, but actually they are mainly used to compare distributions of two or more groups, as in: Note the other entries in this section which contain important information about options for graphs. Many graph commands that fall into this category start with twoway, but some referring to graphs that also can be used for univariate display (such as box plots) don't, and in the case of some others (such as scatter plots), twoway may be omitted.
![line graph stata line graph stata](http://www.econ.uiuc.edu/~econ536/eTA/Stata/eta1-stata2.jpg)
This section introduces some elementary possibilities for displaying bivariate relationships.