Thanks Rick! It's been resolved. I have marked your reply as the solution. Tien ... View more

Thank you Rick for posting more information on proc univariate and proc sgplot! Tien ... View more

Thank you very very much Rick! You are the best! Sincerely, Tien ... View more

Thank you so much Rick!!! Sorry I just quickly browsed through and missed it. It worked now!  Your help and time is much appreciated! Tien ... View more

Thank you Rick for your help! ods html style=journal;  seems to be doing the trick.   But when I do ods graphics / attrpriority=none; I don't get colors. Why is this? Thanks! ... View more

Thank you for your help. But please see my SAS code for what I want to accomplish. I just want to have three curves with different line patterns instead of 3 solid lines. It would be great if you could help me with this request. Thank you! data curvecox_t; input COGNITIVE_STATUS $ FLUPYEARS CIF; datalines; DEMENTIA 0 0 DEMENTIA 0.63527 0.0041 DEMENTIA 0.69551 0.00825 DEMENTIA 0.94469 0.0125 DEMENTIA 1.00219 0.01682 DEMENTIA 1.1391 0.02119 DEMENTIA 1.3253 0.02562 DEMENTIA 1.35816 0.03006 DEMENTIA 1.40745 0.03453 DEMENTIA 1.454 0.039 DEMENTIA 1.63472 0.04358 DEMENTIA 1.82092 0.0482 DEMENTIA 1.85378 0.05282 DEMENTIA 2.0701 0.05765 DEMENTIA 2.38773 0.06261 DEMENTIA 3.23658 0.06847 DEMENTIA 3.63089 0.0749 DEMENTIA 3.85268 0.08175 DEMENTIA 4.33461 0.0898 DEMENTIA 4.592 0.09831 DEMENTIA 4.67415 0.10724 DEMENTIA 4.95893 0.11684 DEMENTIA 7.57941 0.13838 DEMENTIA 8.63636 0.18625 MILDCOGNITIVEIMPAIRMENT 0 0 MILDCOGNITIVEIMPAIRMENT 0.04381 0.00286 MILDCOGNITIVEIMPAIRMENT 0.07941 0.00572 MILDCOGNITIVEIMPAIRMENT 0.20263 0.0086 MILDCOGNITIVEIMPAIRMENT 0.48467 0.01148 MILDCOGNITIVEIMPAIRMENT 0.66265 0.01439 MILDCOGNITIVEIMPAIRMENT 0.69825 0.01732 MILDCOGNITIVEIMPAIRMENT 0.85433 0.0203 MILDCOGNITIVEIMPAIRMENT 0.94195 0.02328 MILDCOGNITIVEIMPAIRMENT 1.00493 0.02628 MILDCOGNITIVEIMPAIRMENT 1.26232 0.02929 MILDCOGNITIVEIMPAIRMENT 1.41566 0.03238 MILDCOGNITIVEIMPAIRMENT 1.44031 0.03547 MILDCOGNITIVEIMPAIRMENT 1.83461 0.03876 MILDCOGNITIVEIMPAIRMENT 2.02629 0.04213 MILDCOGNITIVEIMPAIRMENT 2.08653 0.04553 MILDCOGNITIVEIMPAIRMENT 2.10022 0.04893 MILDCOGNITIVEIMPAIRMENT 2.30832 0.05237 MILDCOGNITIVEIMPAIRMENT 2.42059 0.05587 MILDCOGNITIVEIMPAIRMENT 2.85871 0.05964 MILDCOGNITIVEIMPAIRMENT 2.97371 0.06345 MILDCOGNITIVEIMPAIRMENT 3.21468 0.06732 MILDCOGNITIVEIMPAIRMENT 3.36254 0.07126 MILDCOGNITIVEIMPAIRMENT 3.42278 0.07523 MILDCOGNITIVEIMPAIRMENT 4.06079 0.07959 MILDCOGNITIVEIMPAIRMENT 4.17579 0.08399 MILDCOGNITIVEIMPAIRMENT 4.20865 0.08842 MILDCOGNITIVEIMPAIRMENT 4.51533 0.09302 MILDCOGNITIVEIMPAIRMENT 4.68784 0.09777 MILDCOGNITIVEIMPAIRMENT 4.76451 0.10262 MILDCOGNITIVEIMPAIRMENT 4.86309 0.10758 MILDCOGNITIVEIMPAIRMENT 5.0931 0.11292 MILDCOGNITIVEIMPAIRMENT 5.09858 0.11827 MILDCOGNITIVEIMPAIRMENT 5.4874 0.12403 MILDCOGNITIVEIMPAIRMENT 6.19113 0.13057 MILDCOGNITIVEIMPAIRMENT 6.27875 0.13715 MILDCOGNITIVEIMPAIRMENT 7.96002 0.14768 NORMAL 0 0 NORMAL 0.17251 0.00115 NORMAL 0.19989 0.0023 NORMAL 0.26835 0.00346 NORMAL 0.36692 0.00462 NORMAL 0.51205 0.00578 NORMAL 0.56955 0.00694 NORMAL 0.59967 0.0081 NORMAL 0.78587 0.00927 NORMAL 0.79135 0.01045 NORMAL 0.86254 0.01162 NORMAL 0.90909 0.0128 NORMAL 1.21303 0.014 NORMAL 1.26506 0.0152 NORMAL 1.31161 0.01641 NORMAL 1.34995 0.01762 NORMAL 1.61008 0.01885 NORMAL 1.64567 0.02008 NORMAL 1.67853 0.02131 NORMAL 1.70865 0.02254 NORMAL 2.03998 0.0238 NORMAL 2.30559 0.02508 NORMAL 2.36583 0.02637 NORMAL 2.51369 0.02767 NORMAL 2.54655 0.02897 NORMAL 2.5575 0.03028 NORMAL 2.59858 0.03159 NORMAL 2.65882 0.0329 NORMAL 2.73823 0.03422 NORMAL 2.75465 0.03554 NORMAL 2.7793 0.03687 NORMAL 2.93264 0.0382 NORMAL 2.96824 0.03954 NORMAL 3.1736 0.0409 NORMAL 3.2092 0.04226 NORMAL 3.39814 0.04364 NORMAL 3.41731 0.04503 NORMAL 3.67196 0.04643 NORMAL 3.75958 0.04785 NORMAL 3.78149 0.04927 NORMAL 3.83899 0.0507 NORMAL 4.03341 0.05216 NORMAL 4.04984 0.05363 NORMAL 4.1402 0.05511 NORMAL 4.23604 0.05661 NORMAL 4.3264 0.05812 NORMAL 4.37568 0.05964 NORMAL 4.53998 0.06119 NORMAL 4.55641 0.06274 NORMAL 4.57831 0.06429 NORMAL 4.58653 0.06585 NORMAL 4.61939 0.06741 NORMAL 4.68237 0.06897 NORMAL 4.96714 0.07058 NORMAL 5.09584 0.07221 NORMAL 5.13417 0.07386 NORMAL 5.19168 0.0755 NORMAL 5.53943 0.0772 NORMAL 5.82147 0.07896 NORMAL 5.87349 0.08073 NORMAL 6.01862 0.08252 NORMAL 6.03505 0.08431 NORMAL 6.14732 0.08615 NORMAL 6.72508 0.08812 NORMAL 6.7552 0.09009 NORMAL 6.78806 0.09208 NORMAL 6.83461 0.09408 NORMAL 7.00986 0.09613 NORMAL 7.04545 0.09819 NORMAL 7.12486 0.10026 NORMAL 7.15772 0.10233 NORMAL 7.17963 0.10442 NORMAL 7.22618 0.10652 NORMAL 7.38499 0.10866 NORMAL 7.51643 0.11086 NORMAL 7.54655 0.11307 NORMAL 7.7793 0.1154 NORMAL 8.17634 0.11807 NORMAL 8.81161 0.12276 NORMAL 8.81982 0.12753 NORMAL 9.06627 0.1348 ; run; *This produces 3 curves with solid lines of different colors. But i would like three curves of different line patterns like dash , solid, long dash*; proc sgplot data=curvecox_t; yaxis max=.25; xaxis max=10; step x=FLUPYEARS y=CIF / group = COGNITIVE_STATUS ; run; *This code didn't even work*; proc sgplot data=curvecox_t; yaxis max=.25; xaxis max=10; step x=FLUPYEARS y=CIF / group = COGNITIVE_STATUS grouplp=COGNITIVE_STATUS markers lineattrs = (thickness = 1) markerattrs=(symbol=circlefilled size = 4) name="series"; keylegend "step"/type=linepattern ; run; ... View more

Here is my data. I'm trying to produce CIF curves for different cognitive category (dementia, mild, normal) by follow up time. I would like to get the curves as DASH, SOLID, LONGDASH for these 3 curves. However, as of now, I can only produce 3 curves with 3 different colors, which is not what I want. I have pasted my code below. If you could help me with the request, that would be great.  Thank you so much for your help!   data curvecox_t; input COGNITIVE_STATUS $ FLUPYEARS CIF; datalines; DEMENTIA 0 0 DEMENTIA 0.63527 0.0041 DEMENTIA 0.69551 0.00825 DEMENTIA 0.94469 0.0125 DEMENTIA 1.00219 0.01682 DEMENTIA 1.1391 0.02119 DEMENTIA 1.3253 0.02562 DEMENTIA 1.35816 0.03006 DEMENTIA 1.40745 0.03453 DEMENTIA 1.454 0.039 DEMENTIA 1.63472 0.04358 DEMENTIA 1.82092 0.0482 DEMENTIA 1.85378 0.05282 DEMENTIA 2.0701 0.05765 DEMENTIA 2.38773 0.06261 DEMENTIA 3.23658 0.06847 DEMENTIA 3.63089 0.0749 DEMENTIA 3.85268 0.08175 DEMENTIA 4.33461 0.0898 DEMENTIA 4.592 0.09831 DEMENTIA 4.67415 0.10724 DEMENTIA 4.95893 0.11684 DEMENTIA 7.57941 0.13838 DEMENTIA 8.63636 0.18625 MILDCOGNITIVEIMPAIRMENT 0 0 MILDCOGNITIVEIMPAIRMENT 0.04381 0.00286 MILDCOGNITIVEIMPAIRMENT 0.07941 0.00572 MILDCOGNITIVEIMPAIRMENT 0.20263 0.0086 MILDCOGNITIVEIMPAIRMENT 0.48467 0.01148 MILDCOGNITIVEIMPAIRMENT 0.66265 0.01439 MILDCOGNITIVEIMPAIRMENT 0.69825 0.01732 MILDCOGNITIVEIMPAIRMENT 0.85433 0.0203 MILDCOGNITIVEIMPAIRMENT 0.94195 0.02328 MILDCOGNITIVEIMPAIRMENT 1.00493 0.02628 MILDCOGNITIVEIMPAIRMENT 1.26232 0.02929 MILDCOGNITIVEIMPAIRMENT 1.41566 0.03238 MILDCOGNITIVEIMPAIRMENT 1.44031 0.03547 MILDCOGNITIVEIMPAIRMENT 1.83461 0.03876 MILDCOGNITIVEIMPAIRMENT 2.02629 0.04213 MILDCOGNITIVEIMPAIRMENT 2.08653 0.04553 MILDCOGNITIVEIMPAIRMENT 2.10022 0.04893 MILDCOGNITIVEIMPAIRMENT 2.30832 0.05237 MILDCOGNITIVEIMPAIRMENT 2.42059 0.05587 MILDCOGNITIVEIMPAIRMENT 2.85871 0.05964 MILDCOGNITIVEIMPAIRMENT 2.97371 0.06345 MILDCOGNITIVEIMPAIRMENT 3.21468 0.06732 MILDCOGNITIVEIMPAIRMENT 3.36254 0.07126 MILDCOGNITIVEIMPAIRMENT 3.42278 0.07523 MILDCOGNITIVEIMPAIRMENT 4.06079 0.07959 MILDCOGNITIVEIMPAIRMENT 4.17579 0.08399 MILDCOGNITIVEIMPAIRMENT 4.20865 0.08842 MILDCOGNITIVEIMPAIRMENT 4.51533 0.09302 MILDCOGNITIVEIMPAIRMENT 4.68784 0.09777 MILDCOGNITIVEIMPAIRMENT 4.76451 0.10262 MILDCOGNITIVEIMPAIRMENT 4.86309 0.10758 MILDCOGNITIVEIMPAIRMENT 5.0931 0.11292 MILDCOGNITIVEIMPAIRMENT 5.09858 0.11827 MILDCOGNITIVEIMPAIRMENT 5.4874 0.12403 MILDCOGNITIVEIMPAIRMENT 6.19113 0.13057 MILDCOGNITIVEIMPAIRMENT 6.27875 0.13715 MILDCOGNITIVEIMPAIRMENT 7.96002 0.14768 NORMAL 0 0 NORMAL 0.17251 0.00115 NORMAL 0.19989 0.0023 NORMAL 0.26835 0.00346 NORMAL 0.36692 0.00462 NORMAL 0.51205 0.00578 NORMAL 0.56955 0.00694 NORMAL 0.59967 0.0081 NORMAL 0.78587 0.00927 NORMAL 0.79135 0.01045 NORMAL 0.86254 0.01162 NORMAL 0.90909 0.0128 NORMAL 1.21303 0.014 NORMAL 1.26506 0.0152 NORMAL 1.31161 0.01641 NORMAL 1.34995 0.01762 NORMAL 1.61008 0.01885 NORMAL 1.64567 0.02008 NORMAL 1.67853 0.02131 NORMAL 1.70865 0.02254 NORMAL 2.03998 0.0238 NORMAL 2.30559 0.02508 NORMAL 2.36583 0.02637 NORMAL 2.51369 0.02767 NORMAL 2.54655 0.02897 NORMAL 2.5575 0.03028 NORMAL 2.59858 0.03159 NORMAL 2.65882 0.0329 NORMAL 2.73823 0.03422 NORMAL 2.75465 0.03554 NORMAL 2.7793 0.03687 NORMAL 2.93264 0.0382 NORMAL 2.96824 0.03954 NORMAL 3.1736 0.0409 NORMAL 3.2092 0.04226 NORMAL 3.39814 0.04364 NORMAL 3.41731 0.04503 NORMAL 3.67196 0.04643 NORMAL 3.75958 0.04785 NORMAL 3.78149 0.04927 NORMAL 3.83899 0.0507 NORMAL 4.03341 0.05216 NORMAL 4.04984 0.05363 NORMAL 4.1402 0.05511 NORMAL 4.23604 0.05661 NORMAL 4.3264 0.05812 NORMAL 4.37568 0.05964 NORMAL 4.53998 0.06119 NORMAL 4.55641 0.06274 NORMAL 4.57831 0.06429 NORMAL 4.58653 0.06585 NORMAL 4.61939 0.06741 NORMAL 4.68237 0.06897 NORMAL 4.96714 0.07058 NORMAL 5.09584 0.07221 NORMAL 5.13417 0.07386 NORMAL 5.19168 0.0755 NORMAL 5.53943 0.0772 NORMAL 5.82147 0.07896 NORMAL 5.87349 0.08073 NORMAL 6.01862 0.08252 NORMAL 6.03505 0.08431 NORMAL 6.14732 0.08615 NORMAL 6.72508 0.08812 NORMAL 6.7552 0.09009 NORMAL 6.78806 0.09208 NORMAL 6.83461 0.09408 NORMAL 7.00986 0.09613 NORMAL 7.04545 0.09819 NORMAL 7.12486 0.10026 NORMAL 7.15772 0.10233 NORMAL 7.17963 0.10442 NORMAL 7.22618 0.10652 NORMAL 7.38499 0.10866 NORMAL 7.51643 0.11086 NORMAL 7.54655 0.11307 NORMAL 7.7793 0.1154 NORMAL 8.17634 0.11807 NORMAL 8.81161 0.12276 NORMAL 8.81982 0.12753 NORMAL 9.06627 0.1348 ; run;   *This code produces the plot but with solid line patter, different colors. Not what I want. I would like 3 curves with different line patterns like dash, long dash and solid*;   proc sgplot data=curvecox_t; yaxis max=.25; xaxis max=10; step x=FLUPYEARS y=CIF / group = COGNITIVE_STATUS ; run;   *This code specifying grouplp didn't even run*; proc sgplot data=curvecox_t; yaxis max=.25; xaxis max=10; step x=FLUPYEARS y=CIF / group = COGNITIVE_STATUS grouplp=COGNITIVE_STATUS markers lineattrs = (thickness = 1) markerattrs=(symbol=circlefilled size = 4) name="series"; keylegend "step"/type=linepattern ; run;   ... View more

Thank you for getting back to me Rick, I tried running the code but it wouldn't run.   ... View more

Hi Rick,   I was wondering if you could please help me with this request. I'm trying to get the cumulative incidence function (CIF) by cognitive status. I would like to have different line patterns for the 3 cognitive categories. However, I can't make them as DASH, SOLID or LONGDASH. I just get different colors but the journal would like to see different line patterns when printed out in black and white. I do have SAS 9.4 M3, so I thought the grouplp would help but it is not even recognized (grouplp doesn't become green in SAS). Ultimately, I would also like the legend to show different line patterns for each CIF curve. As of now, it is only showing different colors.   With grouplp and keylegend  "step"/type=linepattern  added to the code, SAS gives me an error message. (see code below).   proc sgplot data=curvecox_t; yaxis max=.25; xaxis max=10; step x=FLUPYEARS y=CIF / group = COGNITIVE_STATUS grouplp=COGNITIVE_STATUS markers lineattrs = (thickness = 1) markerattrs=(symbol=circlefilled size = 4) name="series"; keylegend "step"/type=linepattern ; run;   Without grouplp and keylegend "step"/type=linepattern ; in the code, SAS runs fine albeit not giving me the line patterns I want.    Thanks very much for your time and help Rick!  Tien   ... View more