#Xline options stata code#
#Xline options stata plus#

See also this Tip.Īlthough the example dataset is well behaved, extra options sort connect(L) will help in some case to remove spurious connections between individuals or panels. To get distinct colours, distinct variables suffice, which is where separate has a role. When frustrated by its wired-in choices, people often just reach for line. Quick Stata tip: Two helpful options I only recently () discovered when using the mighty margins/marginsplot commands for interactions: 1) 'plotopts' to have complete control over each individual line and marker 2) using 'xlab' to specify each label on the x-axis. There is nothing very special about xtline. Line alcuse? age, legend(off) sort connect(L)

#Xline options stata code#

There is considerable ingenuity in the question code in working through all the identifiers, but a broad-brush approach seems to work as well. Even with this modest dataset there are 82 distinct identifiers, so any attempt to show them distinctly fails to be useful, if only because the resulting legend takes up most of the real estate. It is difficult (for me) to separate the programming issue here from statistical or graphical views on what kind of graph works well, or at all. Xtline alcuse, legend(off) scheme(s1mono) overlay `m_plot_opt' `f_plot_opt' BMW M ('M' for 'motorsport') was initially created to facilitate BMWs racing program, which was very successful in the 1960s and 1970s.

#Xline options stata plus#

(3)The geometrical symbols (i.e., all with the exception of the plus sign and the letter X/x) may be either solid(i.e., filled with colour) or hollow. (2)With the exception of the plus sign, for each symbol there is a largeand a smallversion. Loc f_plot_opt '`f_plot_opt' plot`i'opts(recast(connected) mcolor(black) msize(medsmall) msymbol(triangle) lcolor(black) lwidth(medthin) lpattern(solid))'ĭi 'xtline alcuse, legend(off) scheme(s1mono) overlay `m_plot_opt' `f_plot_opt'' BMW M GmbH, formerly known as BMW Motorsport GmbH, is a subsidiary of BMW AG that manufactures high-performance cars. (1)There are sixsymbols: Circles, diamands, triangles, squares, plusses (i.e., +), and x. The code below, using publicly available data from UCLA's excellent Stata guide shows my basic code and reproduces the error: use, clear I am aware of this solution which employs combined graphs but that is also not practical given the large number of unique individuals in my data.ĭoes a more simple solution to this problem exist? Does Stata have the capacity to overlay multiple -xtline- plots like it can -twoway- plots? When I try this solution Stata produces the 'too many options' error, which is perhaps predictable given the large number of unique persons. Taking cues from this question on Statalist, I produced code similar to what is below.

I chose to recast the xtline plot as 'connected' and show males using circle markers and females as triangle markers. I am attempting to produce an overlayed -xtline- plot that distinguishes between males and females (or any number of multiple groups) by displaying different plot styles for each group.