I am using -twoway rspike- to plot 2 variables (with its own range) for the same values in the x-axis. I would like to see if they overlap at any point in their range
See code below. I would like to have a small gap between the spikes of each one of the variables (for the same value in the x-axis) - just like coefplot does by default. Is this possible?
See code below. I would like to have a small gap between the spikes of each one of the variables (for the same value in the x-axis) - just like coefplot does by default. Is this possible?
Code:
clear input str20 estimation ee_fem yhat se ci_lower ci_upper Linear 0 6.401265 0.0060304 6.389445 6.413084 Linear 0.05 6.396944 0.005009 6.387127 6.406762 Linear 0.1 6.392624 0.0039876 6.384808 6.400439 Linear 0.15 6.388303 0.0029662 6.382489 6.394117 Linear 0.2 6.383983 0.0019449 6.380171 6.387794 Linear 0.25 6.379662 0.0009235 6.377852 6.381472 Linear 0.3 6.375342 0.0000979 6.37515 6.375533 Linear 0.35 6.371021 0.0011193 6.368827 6.373215 Linear 0.4 6.3667 0.0021407 6.362505 6.370896 Linear 0.45 6.36238 0.0031621 6.356182 6.368578 Linear 0.5 6.358059 0.0041835 6.34986 6.366259 Linear 0.55 6.353739 0.0052049 6.343537 6.36394 Linear 0.6 6.349418 0.0062263 6.337215 6.361622 Linear 0.65 6.345098 0.0072477 6.330893 6.359303 Linear 0.7 6.340777 0.0082691 6.32457 6.356984 Linear 0.75 6.336457 0.0092905 6.318248 6.354666 Linear 0.8 6.332136 0.0103119 6.311925 6.352347 Linear 0.85 6.327816 0.0113333 6.305603 6.350029 Linear 0.9 6.323495 0.0123547 6.299281 6.34771 Linear 0.95 6.319175 0.013376 6.292958 6.345391 Linear 1 6.314854 0.0143974 6.286636 6.343073 Squared 0 6.381992 0.0075843 6.367127 6.396857 Squared 0.05 6.384694 0.0056836 6.373554 6.395833 Squared 0.1 6.386485 0.0040888 6.378471 6.394499 Squared 0.15 6.387365 0.0028755 6.38173 6.393001 Squared 0.2 6.387336 0.0022028 6.383018 6.391653 Squared 0.25 6.386395 0.0021825 6.382117 6.390673 Squared 0.3 6.384544 0.0025867 6.379474 6.389614 Squared 0.35 6.381783 0.0031176 6.375673 6.387893 Squared 0.4 6.378111 0.0036508 6.370956 6.385266 Squared 0.45 6.373529 0.0041705 6.365355 6.381703 Squared 0.5 6.368036 0.00471 6.358805 6.377267 Squared 0.55 6.361633 0.0053261 6.351194 6.372072 Squared 0.6 6.354319 0.0060831 6.342396 6.366242 Squared 0.65 6.346095 0.0070393 6.332298 6.359891 Squared 0.7 6.33696 0.0082379 6.320814 6.353106 Squared 0.75 6.326915 0.0097048 6.307894 6.345936 Squared 0.8 6.315959 0.0114524 6.293513 6.338405 Squared 0.85 6.304093 0.0134843 6.277664 6.330521 Squared 0.9 6.291316 0.0157993 6.26035 6.322282 Squared 0.95 6.277629 0.0183947 6.241576 6.313682 Squared 1 6.263031 0.0212671 6.221348 6.304714 end twoway (rspike ci_upper ci_lower ee_fem if estimation=="Linear") (rspike ci_upper ci_lower ee_fem if estimation=="Squared"), legend(order(1 "Linear" 2 "Squared"))
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