topic Re: REPEATED AND RANDOM FACTORS IN PROC MIXED in Statistical Procedures https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/866995#M42845 <P>I would suggest the use of the EFFECT statement which is available in GLIMMIX but not MIXED, perhaps like this:</P> <P>&nbsp;</P> <PRE><CODE class=" language-sas">proc glimmix data=have; class type subject_id; effect quad =polynomial(intervals/degree=2); model intensity = type|quad; random _residual_;/subject=subject_id; /*adding the subject option may make the model unstable, so you may have to remove it */ run;</CODE></PRE> <P>&nbsp;</P> Wed, 29 Mar 2023 14:01:30 GMT SteveDenham 2023-03-29T14:01:30Z REPEATED AND RANDOM FACTORS IN PROC MIXED https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/866926#M42840 <P>Design:</P><P>&nbsp;</P><P>I am interested in assessing how the emotional intensity recorded in videos, changes over time (during the video), depending on the type of video (A vs. B).</P><P>&nbsp;</P><P>I have a total of 203 videos.</P><P>&nbsp;</P><P>The dependent variable is emotional intensity, for which I have 5 measurements, taken at regular intervals.&nbsp;</P><P>&nbsp;</P><P>My specific hypothesis is that the emotion intensity will increase from the beginning of the video until about the middle of it, and then decrease. In other words, a quadratic trend. However, I expect this trend to be more pronounced in one type of video than in the other. Thus, the basic syntax is using PROC GLM would be:</P><P>&nbsp;</P><P>proc glm data=wide;<BR />class type;<BR />model&nbsp;intensity1-intensity5= genre;<BR />repeated intervals 5 (1 2 3 4 5) polynomial/summary printm;<BR />means type;</P><P>&nbsp;</P><P>However, I am asked to test the hypothesis treating the variable INTERVALS as a continuous predictor.&nbsp;I have re-organized the data in the long format.&nbsp;</P><P>&nbsp;</P><P>DATA and syntax are attached.</P><P>&nbsp;</P><P>The basic proc mixed model would thus be:</P><P>&nbsp;</P><P>MODEL 1</P><P>proc mixed data=datalong;</P><P>class id type ;<BR />model intensity= type | intervals | intervals&nbsp;;</P><P>&nbsp;</P><P>I have received two types of suggestions to add a REPEATED or a RANDOM factor.</P><P>&nbsp;</P><P>MODEL 2</P><P>proc mixed data=datalong;</P><P>class id type ;<BR />model intensity= type | intervals | intervals&nbsp;;</P><P>REPEATED / TYPE = vc SUB = id;&nbsp;&nbsp;</P><P>&nbsp;</P><P>MODEL 3</P><P>proc mixed data=datalong;</P><P>class id type ;<BR />model intensity= type | intervals | intervals&nbsp;;</P><P>RANDOM / TYPE = vc SUB = id;&nbsp;&nbsp;</P><P>&nbsp;</P><P>MODEL 1, 2 and 3, however, produce virtually identical results.</P><P>&nbsp;</P><P>Thoughts?</P><P>&nbsp;</P><PRE><CODE class="">DATA DATALONG; INPUT ID$ TYPE$ INTERVALS INTENSITY; CARDS; 1 A -1.413516734 -0.649020828 1 A -0.706758367 -1.22358075 1 A 0 1.352921145 1 A 0.706758367 0.500871969 1 A 1.413516734 0.018808464 2 A -1.413516734 -1.266169712 2 A -0.706758367 0.971700973 2 A 0 -0.112375142 2 A 0.706758367 1.027200532 2 A 1.413516734 -0.620356651 3 A -1.413516734 -1.560937174 3 A -0.706758367 1.031723315 3 A 0 0.663046994 3 A 0.706758367 0.091883888 3 A 1.413516734 -0.225717022 4 B -1.413516734 -1.319423504 4 B -0.706758367 1.140810514 4 B 0 0.059537663 4 B 0.706758367 -0.628589792 4 B 1.413516734 0.747665118 5 B -1.413516734 1.137849518 5 B -0.706758367 -0.669917033 5 B 0 0.050520402 5 B 0.706758367 0.770229877 5 B 1.413516734 -1.288682765 6 A -1.413516734 0.461239549 6 A -0.706758367 0.634366686 6 A 0 0.962105976 6 A 0.706758367 -0.61527461 6 A 1.413516734 -1.442437601 7 B -1.413516734 -1.572540346 7 B -0.706758367 0.774956933 7 B 0 0.216181258 7 B 0.706758367 -0.305457477 7 B 1.413516734 0.886859632 8 A -1.413516734 0.740387309 8 A -0.706758367 -0.896557429 8 A 0 -0.546936403 8 A 0.706758367 -0.673554681 8 A 1.413516734 1.376661204 9 B -1.413516734 -0.145695931 9 B -0.706758367 0.975464197 9 B 0 -1.519329145 9 B 0.706758367 0.835256811 9 B 1.413516734 -0.145695931 10 A -1.413516734 -1.021781313 10 A -0.706758367 -0.905008882 10 A 0 -0.086925578 10 A 0.706758367 0.781203054 10 A 1.413516734 1.232512719 11 B -1.413516734 1.242033793 11 B -0.706758367 -0.875904541 11 B 0 -1.160073879 11 B 0.706758367 0.51779833 11 B 1.413516734 0.276146298 12 A -1.413516734 -0.768500659 12 A -0.706758367 -0.884066505 12 A 0 0.356861469 12 A 0.706758367 1.559186052 12 A 1.413516734 -0.263480356 13 B -1.413516734 -0.89982493 13 B -0.706758367 -0.923825546 13 B 0 0.799374645 13 B 0.706758367 1.278065831 13 B 1.413516734 -0.25379 14 B -1.413516734 -1.776132654 14 B -0.706758367 0.408899645 14 B 0 0.501799066 14 B 0.706758367 0.593750534 14 B 1.413516734 0.271683409 15 A -1.413516734 1.539220225 15 A -0.706758367 -0.458170414 15 A 0 -0.964716892 15 A 0.706758367 -0.549814512 15 A 1.413516734 0.433481594 16 B -1.413516734 0.321052768 16 B -0.706758367 -0.642683252 16 B 0 1.43604545 16 B 0.706758367 0.075523291 16 B 1.413516734 -1.189938257 17 A -1.413516734 -1.134751647 17 A -0.706758367 -0.485262609 17 A 0 -0.246074762 17 A 0.706758367 1.514061721 17 A 1.413516734 0.352027297 18 B -1.413516734 -1.409270477 18 B -0.706758367 -0.680288709 18 B 0 0.947605593 18 B 0.706758367 0.546700973 18 B 1.413516734 0.59525262 19 B -1.413516734 -0.091435218 19 B -0.706758367 0.166472909 19 B 0 1.54723158 19 B 0.706758367 -0.454678455 19 B 1.413516734 -1.167590816 20 B -1.413516734 0.266057064 20 B -0.706758367 0.836500601 20 B 0 -0.113988761 20 B 0.706758367 0.673588124 20 B 1.413516734 -1.662157028 21 B -1.413516734 -1.337532168 21 B -0.706758367 -0.385549218 21 B 0 1.247270846 21 B 0.706758367 -0.205646928 21 B 1.413516734 0.681457467 22 B -1.413516734 -0.822686691 22 B -0.706758367 -1.292686346 22 B 0 0.381949087 22 B 0.706758367 0.822642622 22 B 1.413516734 0.910781329 23 A -1.413516734 -1.657960629 23 A -0.706758367 0.024777839 23 A 0 0.298950016 23 A 0.706758367 1.035282758 23 A 1.413516734 0.298950016 24 B -1.413516734 -0.247658323 24 B -0.706758367 -1.614057502 24 B 0 0.752020732 24 B 0.706758367 0.278951774 24 B 1.413516734 0.830743319 25 A -1.413516734 -0.241190546 25 A -0.706758367 -0.102269521 25 A 0 -1.445799746 25 A 0.706758367 1.241260705 25 A 1.413516734 0.547999108 26 A -1.413516734 -1.122265459 26 A -0.706758367 -0.675375759 26 A 0 -0.228242522 26 A 0.706758367 0.712782984 26 A 1.413516734 1.313100756 27 B -1.413516734 -0.8079403 27 B -0.706758367 1.490871229 27 B 0 0.57571436 27 B 0.706758367 -0.607024172 27 B 1.413516734 -0.651621116 28 A -1.413516734 -0.674973988 28 A -0.706758367 -0.085728935 28 A 0 0.977400336 28 A 0.706758367 1.02263988 28 A 1.413516734 -1.239337293 29 B -1.413516734 -1.191021761 29 B -0.706758367 0.51427148 29 B 0 1.340589345 29 B 0.706758367 -0.71887629 29 B 1.413516734 0.055037226 30 B -1.413516734 0.347520833 30 B -0.706758367 0.60946281 30 B 0 0.347520833 30 B 0.706758367 0.473835606 30 B 1.413516734 -1.778340081 31 A -1.413516734 -1.044811468 31 A -0.706758367 -0.487717758 31 A 0 -0.119174727 31 A 0.706758367 1.629666257 31 A 1.413516734 0.022037697 32 B -1.413516734 0.377497667 32 B -0.706758367 1.199257881 32 B 0 0.444011551 32 B 0.706758367 -1.310700011 32 B 1.413516734 -0.710067088 33 B -1.413516734 -1.651339211 33 B -0.706758367 0.597787457 33 B 0 -0.127175749 33 B 0.706758367 0.27216839 33 B 1.413516734 0.908559113 34 B -1.413516734 0.061473535 34 B -0.706758367 1.67256508 34 B 0 -0.236801918 34 B 0.706758367 -0.644184056 34 B 1.413516734 -0.853052642 35 B -1.413516734 -1.354204425 35 B -0.706758367 -0.017152506 35 B 0 0.093354624 35 B 0.706758367 1.45768184 35 B 1.413516734 -0.179679532 36 B -1.413516734 -0.99842569 36 B -0.706758367 -1.180087379 36 B 0 0.693005702 36 B 0.706758367 0.626743021 36 B 1.413516734 0.858764347 37 B -1.413516734 0.048336135 37 B -0.706758367 1.497872157 37 B 0 0.134924676 37 B 0.706758367 -0.438861416 37 B 1.413516734 -1.242271552 38 B -1.413516734 0.035400547 38 B -0.706758367 0.974537095 38 B 0 0.935280584 38 B 0.706758367 -0.596884807 38 B 1.413516734 -1.348333419 39 B -1.413516734 0.087620348 39 B -0.706758367 -0.483005168 39 B 0 1.30593249 39 B 0.706758367 0.449994216 39 B 1.413516734 -1.360541885 40 A -1.413516734 -0.784073 40 A -0.706758367 -1.223691138 40 A 0 0.730061411 40 A 0.706758367 0.119930495 40 A 1.413516734 1.157772232 41 B -1.413516734 -0.350360014 41 B -0.706758367 -1.027540304 41 B 0 1.331151055 41 B 0.706758367 0.747374944 41 B 1.413516734 -0.700625681 42 B -1.413516734 -0.951051299 42 B -0.706758367 1.390401503 42 B 0 -0.786447167 42 B 0.706758367 0.66525357 42 B 1.413516734 -0.318156607 43 B -1.413516734 0.557778933 43 B -0.706758367 -0.619332194 43 B 0 1.413445252 43 B 0.706758367 -0.232281236 43 B 1.413516734 -1.119610755 44 B -1.413516734 -1.644533236 44 B -0.706758367 -0.119318781 44 B 0 0.409288717 44 B 0.706758367 0.990598856 44 B 1.413516734 0.363964445 45 A -1.413516734 1.047673592 45 A -0.706758367 0.822666805 45 A 0 0.181876683 45 A 0.706758367 -1.234342509 45 A 1.413516734 -0.817874571 46 B -1.413516734 -0.11204195 46 B -0.706758367 -0.238523675 46 B 0 -1.449058065 46 B 0.706758367 1.224974164 46 B 1.413516734 0.574649526 47 B -1.413516734 0.767099888 47 B -0.706758367 1.036673856 47 B 0 -0.186993031 47 B 0.706758367 -0.103085902 47 B 1.413516734 -1.513694811 48 A -1.413516734 1.344705303 48 A -0.706758367 -0.423005157 48 A 0 -0.717508256 48 A 0.706758367 -0.961505342 48 A 1.413516734 0.757313452 49 A -1.413516734 -1.704177562 49 A -0.706758367 0.792346949 49 A 0 0.311266676 49 A 0.706758367 0.60910205 49 A 1.413516734 -0.008538114 50 A -1.413516734 -0.434706336 50 A -0.706758367 0.987221013 50 A 0 0.763697404 50 A 0.706758367 0.174655698 50 A 1.413516734 -1.490867779 51 A -1.413516734 -0.764773019 51 A -0.706758367 0.353237072 51 A 0 1.180736729 51 A 0.706758367 -1.279131457 51 A 1.413516734 0.509930675 52 A -1.413516734 -0.390557847 52 A -0.706758367 -0.983770116 52 A 0 -0.347732362 52 A 0.706758367 0.062282001 52 A 1.413516734 1.659778324 53 A -1.413516734 -1.086147455 53 A -0.706758367 1.241344627 53 A 0 -0.848976012 53 A 0.706758367 -0.051809974 53 A 1.413516734 0.745588814 54 B -1.413516734 -0.407976115 54 B -0.706758367 0.540762297 54 B 0 1.252515365 54 B 0.706758367 0.018969455 54 B 1.413516734 -1.404271002 55 B -1.413516734 -0.295718846 55 B -0.706758367 1.737756778 55 B 0 -0.147884565 55 B 0.706758367 -0.517721687 55 B 1.413516734 -0.77643168 56 A -1.413516734 -0.601017706 56 A -0.706758367 0.797676563 56 A 0 -0.601017706 56 A 0.706758367 -0.929084139 56 A 1.413516734 1.333442987 57 B -1.413516734 0.495833311 57 B -0.706758367 0.711015579 57 B 0 0.272004223 57 B 0.706758367 0.280651042 57 B 1.413516734 -1.759504154 58 A -1.413516734 -1.636577989 58 A -0.706758367 0.547101144 58 A 0 0.988667422 58 A 0.706758367 0.19138039 58 A 1.413516734 -0.090570967 59 B -1.413516734 -0.516802394 59 B -0.706758367 -1.327088346 59 B 0 1.322636808 59 B 0.706758367 0.052623542 59 B 1.413516734 0.468630391 60 A -1.413516734 -0.910062825 60 A -0.706758367 -0.673758758 60 A 0 0.656415769 60 A 0.706758367 1.427267217 60 A 1.413516734 -0.499861403 61 B -1.413516734 -1.027894298 61 B -0.706758367 -0.961514298 61 B 0 1.342819983 61 B 0.706758367 0.381258271 61 B 1.413516734 0.265330342 62 B -1.413516734 0.107103769 62 B -0.706758367 1.475482651 62 B 0 -1.063724775 62 B 0.706758367 -0.78161883 62 B 1.413516734 0.262757184 63 A -1.413516734 -0.515915497 63 A -0.706758367 -0.213734385 63 A 0 0.923064784 63 A 0.706758367 -1.283593198 63 A 1.413516734 1.090178297 64 B -1.413516734 -1.329655805 64 B -0.706758367 -0.742270609 64 B 0 0.803819364 64 B 0.706758367 0.97381555 64 B 1.413516734 0.2942915 65 A -1.413516734 1.295806273 65 A -0.706758367 -0.809967287 65 A 0 -0.913356085 65 A 0.706758367 -0.394202931 65 A 1.413516734 0.821720031 66 B -1.413516734 -1.170440296 66 B -0.706758367 -0.305096136 66 B 0 1.027195569 66 B 0.706758367 -0.606898266 66 B 1.413516734 1.055239129 67 B -1.413516734 -1.323346074 67 B -0.706758367 0.485373944 67 B 0 -0.210246217 67 B 0.706758367 1.366600414 67 B 1.413516734 -0.318382066 68 B -1.413516734 -0.748945997 68 B -0.706758367 -0.698681165 68 B 0 0.871584014 68 B 0.706758367 1.294339857 68 B 1.413516734 -0.718296709 69 B -1.413516734 -0.704016665 69 B -0.706758367 -1.330556878 69 B 0 0.266267401 69 B 0.706758367 1.107342785 69 B 1.413516734 0.660963357 70 A -1.413516734 -1.28102959 70 A -0.706758367 -0.403708608 70 A 0 1.329267888 70 A 0.706758367 -0.249962086 70 A 1.413516734 0.605432397 71 B -1.413516734 0.678357874 71 B -0.706758367 0.25848688 71 B 0 0.224206735 71 B 0.706758367 0.591806586 71 B 1.413516734 -1.752858075 72 A -1.413516734 -1.258277415 72 A -0.706758367 0.513227048 72 A 0 1.326728368 72 A 0.706758367 -0.625467999 72 A 1.413516734 0.043789998 73 B -1.413516734 -0.987053622 73 B -0.706758367 1.023156944 73 B 0 -1.128411681 73 B 0.706758367 0.312708984 73 B 1.413516734 0.779599375 74 B -1.413516734 0.215585249 74 B -0.706758367 0.850073553 74 B 0 -0.077777607 74 B 0.706758367 0.67586579 74 B 1.413516734 -1.663746985 75 B -1.413516734 -1.348105226 75 B -0.706758367 -0.194776828 75 B 0 0.90244501 75 B 0.706758367 1.070281015 75 B 1.413516734 -0.429843971 76 B -1.413516734 -0.550179642 76 B -0.706758367 0.674123938 76 B 0 -0.365777137 76 B 0.706758367 1.36184849 76 B 1.413516734 -1.120015649 77 B -1.413516734 0.443103875 77 B -0.706758367 0.63596529 77 B 0 -1.388602188 77 B 0.706758367 -0.688763489 77 B 1.413516734 0.998296512 78 A -1.413516734 -0.86076395 78 A -0.706758367 0.958138475 78 A 0 1.167906948 78 A 0.706758367 -0.929777778 78 A 1.413516734 -0.335503695 79 B -1.413516734 -1.406755519 79 B -0.706758367 -0.553891567 79 B 0 0.204971891 79 B 0.706758367 1.133798406 79 B 1.413516734 0.62187679 80 B -1.413516734 -0.090091966 80 B -0.706758367 1.230988733 80 B 0 -0.248557298 80 B 0.706758367 0.557980299 80 B 1.413516734 -1.450319769 81 B -1.413516734 1.379448423 81 B -0.706758367 -1.029479391 81 B 0 -0.75052555 81 B 0.706758367 0.644002762 81 B 1.413516734 -0.243446245 82 B -1.413516734 -0.560544241 82 B -0.706758367 -0.129863047 82 B 0 -1.260527852 82 B 0.706758367 0.678044204 82 B 1.413516734 1.272890936 83 A -1.413516734 1.080286927 83 A -0.706758367 -1.640838833 83 A 0 0.3137458 83 A 0.706758367 0.046803363 83 A 1.413516734 0.200002743 84 B -1.413516734 -1.212655624 84 B -0.706758367 1.156182523 84 B 0 0.513753617 84 B 0.706758367 0.41331488 84 B 1.413516734 -0.870595396 85 A -1.413516734 -0.638935123 85 A -0.706758367 -1.436867091 85 A 0 0.446515382 85 A 0.706758367 0.830629265 85 A 1.413516734 0.798657567 86 A -1.413516734 -0.636744316 86 A -0.706758367 0.726426614 86 A 0 -0.847946128 86 A 0.706758367 1.394111323 86 A 1.413516734 -0.635847493 87 B -1.413516734 -0.493203747 87 B -0.706758367 0.244787922 87 B 0 0.825729618 87 B 0.706758367 0.90473196 87 B 1.413516734 -1.482045754 88 B -1.413516734 -1.516677871 88 B -0.706758367 -0.535490729 88 B 0 0.757747585 88 B 0.706758367 0.624921138 88 B 1.413516734 0.669499877 89 A -1.413516734 -0.958674158 89 A -0.706758367 0.453207714 89 A 0 -1.050881576 89 A 0.706758367 1.30736441 89 A 1.413516734 0.248983611 90 B -1.413516734 -1.133484495 90 B -0.706758367 0.413278144 90 B 0 1.153610934 90 B 0.706758367 -0.964925561 90 B 1.413516734 0.531520978 91 B -1.413516734 -1.191967603 91 B -0.706758367 1.367660474 91 B 0 0.584414283 91 B 0.706758367 -0.577912827 91 B 1.413516734 -0.182194327 92 B -1.413516734 -0.440378229 92 B -0.706758367 -0.376889886 92 B 0 1.586788799 92 B 0.706758367 0.267175735 92 B 1.413516734 -1.036696418 93 A -1.413516734 -0.549930303 93 A -0.706758367 0.597367599 93 A 0 0.965128905 93 A 0.706758367 0.467526341 93 A 1.413516734 -1.480092541 94 A -1.413516734 1.112948445 94 A -0.706758367 0.066000305 94 A 0 -1.598649949 94 A 0.706758367 0.447793359 94 A 1.413516734 -0.028092159 95 A -1.413516734 0.404534353 95 A -0.706758367 1.180764574 95 A 0 -0.47300049 95 A 0.706758367 0.338225873 95 A 1.413516734 -1.45052431 96 A -1.413516734 -0.713855147 96 A -0.706758367 -0.377876811 96 A 0 -0.18913604 96 A 0.706758367 1.756573795 96 A 1.413516734 -0.475705797 97 A -1.413516734 -0.846463825 97 A -0.706758367 -0.773664276 97 A 0 -0.556657971 97 A 0.706758367 1.142594886 97 A 1.413516734 1.034191186 98 B -1.413516734 0.526122568 98 B -0.706758367 1.304819893 98 B 0 -1.336622864 98 B 0.706758367 -0.0106186 98 B 1.413516734 -0.483700998 99 A -1.413516734 -0.196889714 99 A -0.706758367 1.431960964 99 A 0 0.053789168 99 A 0.706758367 0.089479996 99 A 1.413516734 -1.378340413 100 B -1.413516734 0.621378184 100 B -0.706758367 0.054566404 100 B 0 -1.439090988 100 B 0.706758367 -0.408595319 100 B 1.413516734 1.171741719 101 B -1.413516734 -1.551472906 101 B -0.706758367 1.109624323 101 B 0 -0.163178482 101 B 0.706758367 0.02682386 101 B 1.413516734 0.578203206 102 B -1.413516734 -1.160215278 102 B -0.706758367 -0.082986892 102 B 0 1.600493041 102 B 0.706758367 -0.282586104 102 B 1.413516734 -0.074704767 103 B -1.413516734 -0.464371569 103 B -0.706758367 0.856140684 103 B 0 -1.3618594 103 B 0.706758367 -0.117525836 103 B 1.413516734 1.087616121 104 B -1.413516734 -1.060445275 104 B -0.706758367 0.541098291 104 B 0 0.77578344 104 B 0.706758367 0.858683156 104 B 1.413516734 -1.115119612 105 A -1.413516734 -1.131330538 105 A -0.706758367 -0.66411366 105 A 0 0.673679894 105 A 0.706758367 1.334193888 105 A 1.413516734 -0.212429585 106 A -1.413516734 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-0.706758367 0.680528728 182 A 0 -1.483269312 182 A 0.706758367 -0.216196852 182 A 1.413516734 1.130328997 183 A -1.413516734 0.944051259 183 A -0.706758367 -0.024956162 183 A 0 1.066361163 183 A 0.706758367 -0.99272813 183 A 1.413516734 -0.99272813 184 B -1.413516734 0.477380517 184 B -0.706758367 -1.007011638 184 B 0 1.466975288 184 B 0.706758367 -0.757386358 184 B 1.413516734 -0.179957809 185 A -1.413516734 -0.12281912 185 A -0.706758367 0.540231976 185 A 0 -0.246552793 185 A 0.706758367 1.259501196 185 A 1.413516734 -1.43036126 186 A -1.413516734 0.830011679 186 A -0.706758367 -1.356832048 186 A 0 -0.207875635 186 A 0.706758367 -0.393239277 186 A 1.413516734 1.127935281 187 A -1.413516734 0.935355642 187 A -0.706758367 0.999491505 187 A 0 0.071867922 187 A 0.706758367 -1.235207563 187 A 1.413516734 -0.771507506 188 A -1.413516734 1.431221271 188 A -0.706758367 0.661778928 188 A 0 -0.511851321 188 A 0.706758367 -0.761880699 188 A 1.413516734 -0.81926818 189 A -1.413516734 0.646923725 189 A -0.706758367 0.058745639 189 A 0 0.673626288 189 A 0.706758367 0.3527144 189 A 1.413516734 -1.732010052 190 A -1.413516734 -0.753753137 190 A -0.706758367 -0.351776986 190 A 0 0.528024386 190 A 0.706758367 1.485110459 190 A 1.413516734 -0.907604723 191 B -1.413516734 -0.893985087 191 B -0.706758367 -1.080775641 191 B 0 1.208324289 191 B 0.706758367 0.756684873 191 B 1.413516734 0.009751566 192 A -1.413516734 -1.444881211 192 A -0.706758367 0.599860809 192 A 0 0.083046372 192 A 0.706758367 -0.411252339 192 A 1.413516734 1.173226368 193 B -1.413516734 1.266645776 193 B -0.706758367 -0.196466949 193 B 0 0.766522033 193 B 0.706758367 -0.714981105 193 B 1.413516734 -1.121719755 194 B -1.413516734 0.312967621 194 B -0.706758367 1.500970465 194 B 0 -0.41613842 194 B 0.706758367 -0.199377165 194 B 1.413516734 -1.198422502 195 A -1.413516734 -1.594113418 195 A -0.706758367 -0.346177672 195 A 0 0.871188333 195 A 0.706758367 0.59975861 195 A 1.413516734 0.469344147 196 A -1.413516734 -0.593607517 196 A -0.706758367 -1.355998566 196 A 0 0.395391053 196 A 0.706758367 0.30552945 196 A 1.413516734 1.248685579 197 B -1.413516734 -0.579883566 197 B -0.706758367 0.186117663 197 B 0 1.659196951 197 B 0.706758367 -0.43841823 197 B 1.413516734 -0.827012817 198 A -1.413516734 -1.377697005 198 A -0.706758367 0.770389881 198 A 0 0.676948101 198 A 0.706758367 -0.758618364 198 A 1.413516734 0.688977388 199 B -1.413516734 -1.296625302 199 B -0.706758367 1.387899133 199 B 0 0.405631642 199 B 0.706758367 -0.019865481 199 B 1.413516734 -0.477039992 200 A -1.413516734 0.807173334 200 A -0.706758367 0.308765242 200 A 0 -0.372138355 200 A 0.706758367 0.819323818 200 A 1.413516734 -1.563124039 201 A -1.413516734 -0.179785369 201 A -0.706758367 0.948723514 201 A 0 -1.538622494 201 A 0.706758367 -0.064621249 201 A 1.413516734 0.834305598 202 B -1.413516734 1.59213763 202 B -0.706758367 -0.285683879 202 B 0 -1.02066536 202 B 0.706758367 0.244976408 202 B 1.413516734 -0.530764799 203 A -1.413516734 1.59213763 203 A -0.706758367 -0.285683879 203 A 0 -1.02066536 203 A 0.706758367 0.244976408 203 A 1.413516734 -0.530764799 ; proc mixed data=datalong; TITLE 'MODEL 1'; class id type ; model intensity= type | intervals | intervals ; proc mixed data=datalong; TITLE 'MODEL 2'; class id type ; model intensity= type | intervals | intervals ; REPEATED / TYPE = vc SUB = id; proc mixed data=datalong; TITLE 'MODEL 3'; class id type ; model intensity= type | intervals | intervals ; Random intercept /SUB=id;</CODE></PRE> Wed, 29 Mar 2023 08:13:18 GMT https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/866926#M42840 emaneman 2023-03-29T08:13:18Z Re: REPEATED AND RANDOM FACTORS IN PROC MIXED https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/866995#M42845 <P>I would suggest the use of the EFFECT statement which is available in GLIMMIX but not MIXED, perhaps like this:</P> <P>&nbsp;</P> <PRE><CODE class=" language-sas">proc glimmix data=have; class type subject_id; effect quad =polynomial(intervals/degree=2); model intensity = type|quad; random _residual_;/subject=subject_id; /*adding the subject option may make the model unstable, so you may have to remove it */ run;</CODE></PRE> <P>&nbsp;</P> Wed, 29 Mar 2023 14:01:30 GMT https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/866995#M42845 SteveDenham 2023-03-29T14:01:30Z Re: REPEATED AND RANDOM FACTORS IN PROC MIXED https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/867141#M42874 <P>Your REPEATED statement does not really add anything more to the model than the one without the REPEATED statement.</P> <P>&nbsp;</P> <P>If you wanted to model the correlations in the data, you might want to use something like --</P> <P>repeated / subject=id type=cs;</P> <P>&nbsp;</P> <P>This can also be accomplished by using a RANDOM statement --</P> <P>random int / subject=id;</P> <P>&nbsp;</P> <P>You just need one of the two, but not both, in your PROC MIXED program.</P> <P>&nbsp;</P> <P>I hope this helps,</P> <P>Jill</P> Wed, 29 Mar 2023 22:14:14 GMT https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/867141#M42874 jiltao 2023-03-29T22:14:14Z Re: REPEATED AND RANDOM FACTORS IN PROC MIXED https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/867143#M42875 <P>Hello Jil,</P><P>thanks for your response. Yes, they all work and give essentially the same results.</P><P>Eman</P> Wed, 29 Mar 2023 22:36:14 GMT https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/867143#M42875 emaneman 2023-03-29T22:36:14Z Re: REPEATED AND RANDOM FACTORS IN PROC MIXED https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/867144#M42876 hello Steve,<BR />This works as well, and it gives the exact same results.<BR />Thank you very much.<BR />E Wed, 29 Mar 2023 22:38:28 GMT https://communities.sas.com/t5/Statistical-Procedures/REPEATED-AND-RANDOM-FACTORS-IN-PROC-MIXED/m-p/867144#M42876 emaneman 2023-03-29T22:38:28Z