Marginsplot stata full#
Marginsplot stata code#

So, we get 2 tables with values for our two regression lines. Then we enter the command again, but with predictor2 =1: This gives a table with the predicted DV values, for each predictor1 value, given predictor2 = 0 and the other variables are set to their means (=neutralized). vsquish just makes sure that the table looks nice 5 sets the increment and can be adjusted of course predictor1 = my main predictor, continuous Then we check the range of predictor1, e.g.

Marginsplot stata full#

And the other one visualizes the effect, given predictor2=1.įor this, we run the regression of the full model, including predictor1, predictor2, the interaction, and the controls.

One visualizes the effect of predictor1 on our DV, given predictor2=0. In essence, we want two regression lines. This means in essence that we want to visualize the effect of predictor1 on the DV under two conditions: first, for predictor2 = 0 and second for predictor2 = 1, holding all other variables constant. We want to visualize the interaction effect. Today I received tremendous help on this and want to share the solution with you - just in case you are a Stata rookie like me.ĭV = alpha + ß1 predictor1(cont.) + ß2 predictor2(dummy) + ß3 predictor1*predictor2+ controls.

Marginsplot stata code#

If you can get access to Stata 12 or 13 (perhaps in a university computer lab), all of this can be done just as buharin showed in his code - which is far easier and quicker. To obtain different CIs and lines for different combinations, you would just add an -if- selection in the several -rcap- and -connected- graph segments.

For the lines, you would use -connected- as the graph type. For the CI bars, you would use -rcap- as the graph type. Then you have the data in Stata that you need to do the graphing.įor the graphing itself, you would use a series plots within a single -twoway- command. (It is possible to get the data directly into a Stata matrix without screen scraping, but unless you have a lot of repeated tasks, screen scraping is easier and quicker.) Then copy/paste the margins table back into an empty Stata data sheet. Clean it up as you wish and change the column headings to variable names acceptable in Stata. Then screen scrape (i.e., copy and paste using copy/Table from right-clicking in Stata) the margins output into an Excel sheet. The easiest way would be to use the margins code bukharin provided (less the marginsplot line) to get the margins output in a table (actually a matrix) on the screen.