Hello,
I am trying plot stcurves condensing the code for generating underlying numbers to be displayed on the graph as two include files. The graph combine seems to stop working since my saving option is not a memory graph. How do I fix the issue?
I have included my main code and the two underlying include files (for generating median and overall survival). It has something to do with my graph save options. I have played with all possible options in the help sections but am hitting a wall now. I am able to combine easily without the include do files.
Initial stpm2graph.do for the overall survival numbers
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// Include coxgraph file condensed for binary variables for p53 paper
I am trying plot stcurves condensing the code for generating underlying numbers to be displayed on the graph as two include files. The graph combine seems to stop working since my saving option is not a memory graph. How do I fix the issue?
I have included my main code and the two underlying include files (for generating median and overall survival). It has something to do with my graph save options. I have played with all possible options in the help sections but am hitting a wall now. I am able to combine easily without the include do files.
Code:
**# Fig_2AB anymds_monosomy local x anymds // assign the local to the variable to be modeled. local title "OS24 by prior MDS" local 0val "No prior MDS" local 1val "Prior MDS" include ".\stpm2graph.do" /*plot survival curve from model*/ include ".\coxgraph.do" graph save test, replace # Graph stcurve by monosomies local x mono2 // assign the local to the variable to be modeled. local title "OS24 by sutosomal monosomies" local 0val "0-1 Monosomies" local 1val "2+ Monosomies" include ".\stpm2graph.do" /*plot survival curve from model*/ include ".\coxgraph.do" graph save test2, replace **# Fig 2 combine graph combine test test2, cols(2) ycommon xcommon altshrink graph export ".\A_UOC academic\Project Amandeep TP53\Manuscript TP53\Assets\Fig 02_stc_anymds_mono.png", /// width(4800) height(2000) replace as(png)
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Code:
qui stpm2 i.`x' i.age70, df(4) eform scale(h) range tt 1 24 24 predict ms0, meansurv ci timevar(tt) at(`x' 0) predict ms1, meansurv ci timevar(tt) at(`x' 1) // List the values list tt ms0 ms1 in 24 // Save ms00 and ms10 to local macros as percentages local ms0_val = string(round(ms0[24] * 100, 0.1), "%9.1f") + "%" local ms0_v = ms0[24] local ms1_val = string(round(ms1[24] * 100, 0.1), "%9.1f") + "%" local ms1_v = ms1[24] stcox ib0.anymds ib0.age70 stcox ib0.`x' ib0.age70 matrix list r(table) scalar b = round(r(table)[1,2], 0.01) local b = scalar(b) scalar l = round(r(table)[5,2], 0.01) local l = scalar(l) scalar u = round(r(table)[6,2], 0.01) local u = scalar(u) local p = round(r(table)[4,2], 0.0001) drop ms0* ms1* tt _rc* _d_*
// Include coxgraph file condensed for binary variables for p53 paper
Code:
stcurve, surv at1(`x'= 0) at2(`x' = 1) scheme(s2color) /// lcolor(dkorange cranberry) lpat(solid solid) /// graphregion(margin(vsmall) icolor(white) color(white) ) /// title("`title'", size(medium)) bcolor(black) /// subtitle("After adjusted P-H regression* ({it:n}= `e(N)')", size(small)) /// note("*Adjusted for age", span size(small)) /// caption("OS24 derived from flexible parametric model with 4 degrees of freedom with underlying age as the time scale", span size(small)) /// xtitle("Time since Diagnosis (months)", size(small)) /// xlabel(0(2)26, labs(small)) ylabel(0(0.25)1, angle(0) labs(small)) /// ylabel(0 .5 1) /// ytitle("Proportion surviving", size(small) margin(medium)) /// legend(order(1 "`0val'" 2 "`1val'") /// col(1) size(small) symxsize(*0.5) margin(small) rowg(*0.1) ring(0) pos(1) region(lcolor(white))) /// text(.75 15 "Model {it:p} = `p'" "HR `b' [95% CI: `l'-`u']" ,place(c) nobox just(left) margin(l+1 t+1 b+1) width(65) size(medium)) /// text(`ms0_v' 25.1 "`ms0_val'" ,place(c) nobox just(center) margin(l+1 t+1 b+1) width(65) size(small)) /// text(`ms1_v' 25.1 "`ms1_val'" ,place(c) nobox just(center) margin(l+1 t+1 b+1) width(65) size(small))
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