Dear Stata users,
I do have a rather basic question regarding coefplot (from SSC using Stata 18.0). I have five different dependent variables and I run three different estimations for each dependent variable. Eventually, I would like to graph the results from all 15 model in one graph using coefplot. I do use an inelegant option of doing that using the graph combine command (which results in a graph attached below. Clearly, there are to many y axis legends and other noise that makes my graph unusable. I would prefer to make the final graphs using coefplot command and its options, but so far I failed to figure out how do do that exactly. I would be glad for any guidance for my basic question.
Here is the graph:
Thank you.
I do have a rather basic question regarding coefplot (from SSC using Stata 18.0). I have five different dependent variables and I run three different estimations for each dependent variable. Eventually, I would like to graph the results from all 15 model in one graph using coefplot. I do use an inelegant option of doing that using the graph combine command (which results in a graph attached below. Clearly, there are to many y axis legends and other noise that makes my graph unusable. I would prefer to make the final graphs using coefplot command and its options, but so far I failed to figure out how do do that exactly. I would be glad for any guidance for my basic question.
Code:
logistic Sec i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Speaker_ID) estimates store Model1 logistic Sec i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Party_ID) estimates store Model2 firthlogit Sec i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, or estimates store Model3 coefplot (Model1, label(Model1)) (Model2, label(Model2)) (Model3, label(Model3)), drop(_cons) xline(0) levels(95 90) name(Graph1, replace) margins, dydx(*) post marginsplot, horizontal xline(0) yscale(reverse) recast(scatter) logistic Eco i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Speaker_ID) estimates store Model4 logistic Eco i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Party_ID) estimates store Model5 firthlogit Eco i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, or estimates store Model6 coefplot (Model4, label(Model4)) (Model5, label(Model5)) (Model6, label(Model6)), drop(_cons) xline(0) levels(95 90) name(Graph2, replace) logistic Cul i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Speaker_ID) estimates store Model7 logistic Cul i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Party_ID) estimates store Model8 firthlogit Cul i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, or estimates store Model9 coefplot (Model7, label(Model7)) (Model8, label(Model8)) (Model9, label(Model9)), drop(_cons) xline(0) levels(95 90) name(Graph3, replace) logistic Hum i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Speaker_ID) estimates store Model10 logistic Hum i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Party_ID) estimates store Model11 firthlogit Hum i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, or estimates store Model12 coefplot (Model10, label(Model10)) (Model11, label(Model11)) (Model12, label(Model12)), drop(_cons) xline(0) levels(95 90) name(Graph4, replace) logistic Adm i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Speaker_ID) estimates store Model13 logistic Adm i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, vce(cluster Party_ID) estimates store Model14 firthlogit Adm i.Country_ID i.Opposition Left_Right GAL_TAN European_Integration i.Radical_right Party_size i.Period, or estimates store Model15 coefplot (Model13, label(Model13)) (Model14, label(Model14)) (Model15, label(Model15)), drop(_cons) xline(0) levels(95 90) name(Graph5, replace) graph combine Graph1 Graph2 Graph3 Graph4 Graph5
Thank you.
