About confooseddesi89

confooseddesi89 · ‎02-19-2024

Yes, I meant the "treatment" and not covariates in this case.

confooseddesi89 · ‎02-19-2024

As I mentioned in my original message, PROC CAUSALMED does not allow for multi-categorical predictors. I have a multi-categorical predictor.

confooseddesi89 · ‎02-18-2024

Hello, I am interested in examining whether city Size (mediator; continuous) mediates the association between Race (predictor; 5 categories) and PA_days (outcome; count variable). Covariates are Sex and Depression (both dichotomous). Below are my data: Data Race_PA; Input ID Race Size PA_days Sex Depression; datalines; 8 4 169.425 5 1 0 20 2 172.3 1 0 0 21 2 164.3 0 1 1 22 4 163.8 4 0 0 28 2 174.7444 0 1 0 35 3 147.8 0 1 1 36 3 164.675 1 1 0 37 2 167.55 5 0 0 50 4 179.675 3 0 0 52 2 171.55 1 0 1 57 3 173.925 3 0 0 58 3 128.8 5 0 0 60 5 178.4111 1 1 0 71 2 164.05 2 1 0 77 2 160.9667 7 0 0 80 4 175.425 0 1 0 83 5 159.05 0 0 1 88 1 155.8 3 1 0 91 2 158.3 4 0 1 107 4 172.64 3 1 1 118 2 166.55 4 0 1 124 1 160.3 4 0 0 128 4 176.925 2 0 1 147 3 176.55 3 0 0 164 3 172.425 7 1 1 165 2 170.17 7 1 0 169 3 173.8 6 1 1 172 1 173.46 2 0 1 174 2 174.87 3 1 0 184 5 165.925 4 1 1 187 2 172.35 0 1 1 191 1 175.05 0 0 1 197 3 164.8 5 0 1 198 1 173.425 4 1 1 203 5 153.675 0 0 0 204 3 178.3 7 0 1 205 2 180.05 3 1 0 206 3 163.925 5 1 0 207 1 172.55 6 1 1 229 3 172.8 6 1 1 233 3 164.33 2 1 1 247 4 174.925 1 1 0 258 2 176.05 5 0 0 268 2 176.9 5 0 1 272 2 153.3 3 1 0 287 1 168.55 5 1 0 290 5 170.1 4 0 1 292 1 169.175 3 0 1 295 2 155.3 4 1 1 299 5 170.925 0 0 1 309 2 172.925 3 0 0 316 3 171.05 4 1 0 317 2 156.425 6 1 0 336 2 167.925 6 1 0 340 1 171.3 5 0 0 346 1 170.175 1 1 1 362 3 163.175 4 0 0 369 4 162.175 0 1 0 374 1 168.3 3 0 1 378 3 148.05 4 0 1 383 1 170.05 6 0 0 385 4 171.34 5 0 0 388 1 167.5 4 1 1 406 2 172.05 3 1 0 407 1 175.55 2 1 0 413 3 166.175 2 1 1 416 2 177.425 4 1 0 418 3 175.4111 4 0 0 419 2 179.8 2 0 0 424 3 168.82 4 0 1 433 2 164.07 7 0 1 435 4 156.42 2 0 1 436 2 174.8 0 0 0 439 3 175.8 3 1 1 451 4 164.64 4 1 1 456 4 145.425 5 0 1 459 4 163.675 4 1 1 466 5 159.55 0 1 0 ; run; I would like to use bootstrapped confidence intervals for the assessment of the indirect effect of mediation (i.e., the Andrew Hayes method). I know PROC CAUSALMED can handle count outcomes but not multi-categorical predictors, and Hayes' PROCESS macro can handle multi-categorical predictors but not count outcomes. Is there a way to assess mediation using bootstrapped CIs with a multi-categorical predictor and a count outcome in SAS? Thanks.

confooseddesi89 · ‎01-29-2024

The NEEDLE plot is not useful for my purposes. The pie chart I requested is what I need to effectively convey my study's messages. Of course, I do not want to plot 700+ programs on one pie chart. This is why the "other=5 otherlabel='Other'" statement is clearly indicated in the PROC GCHART code I posted. The programs that are ≥5% are the only ones that should be represented in separate slices (along with the "Other" slice), and each of these slices should be different colors. Each slice color should be specified, as I need to produce two pie charts by two different groups, and having (for example) Program1 be blue in both charts would help the reader identify the programs as the same. If this request cannot be accomplished, or you do not know the answer, please simply state so.

confooseddesi89 · ‎01-27-2024

Hello, Thanks, that worked great for my small dataset - however, I tried the "pattern" statements with a larger dataset, and it did not work. It looks like maybe one slice changed to dark blue? See below code for the larger dataset and PROC GCHART: Data DataforSAS2; Input Program :$10. Hours_Watching_Monthly_rec; datalines; Program1 59 Program2 90 Program3 55 Program4 53 Program5 66 Program6 87 Program7 60 Program8 75 Program9 75 Program10 2.93 Program11 2.26 Program12 0.95 Program13 0.95 Program14 0.95 Program15 0.95 Program16 0.95 Program17 0.95 Program18 0.95 Program19 0.95 Program20 0.95 Program21 0.94 Program22 0.94 Program23 0.94 Program24 0.94 Program25 0.94 Program26 0.94 Program27 0.94 Program28 0.94 Program29 0.94 Program30 0.93 Program31 0.93 Program32 0.93 Program33 0.93 Program34 0.93 Program35 0.93 Program36 0.93 Program37 0.93 Program38 0.93 Program39 0.92 Program40 0.92 Program41 0.92 Program42 0.92 Program43 0.92 Program44 0.92 Program45 0.92 Program46 0.92 Program47 0.92 Program48 0.91 Program49 0.91 Program50 0.91 Program51 0.91 Program52 0.91 Program53 0.91 Program54 0.91 Program55 0.91 Program56 0.91 Program57 0.9 Program58 0.9 Program59 0.9 Program60 0.9 Program61 0.9 Program62 0.9 Program63 0.9 Program64 0.9 Program65 0.9 Program66 0.89 Program67 0.89 Program68 0.89 Program69 0.89 Program70 0.89 Program71 0.89 Program72 0.89 Program73 0.89 Program74 0.89 Program75 0.88 Program76 0.88 Program77 0.88 Program78 0.88 Program79 0.88 Program80 0.88 Program81 0.88 Program82 0.88 Program83 0.88 Program84 0.87 Program85 0.87 Program86 0.87 Program87 0.87 Program88 0.87 Program89 0.87 Program90 0.87 Program91 0.87 Program92 0.87 Program93 0.86 Program94 0.86 Program95 0.86 Program96 0.86 Program97 0.86 Program98 0.86 Program99 0.86 Program100 0.86 Program101 0.86 Program102 0.85 Program103 0.85 Program104 0.85 Program105 0.85 Program106 0.85 Program107 0.85 Program108 0.85 Program109 0.85 Program110 0.85 Program111 0.84 Program112 0.84 Program113 0.84 Program114 0.84 Program115 0.84 Program116 0.84 Program117 0.84 Program118 0.84 Program119 0.84 Program120 0.83 Program121 0.83 Program122 0.83 Program123 0.83 Program124 0.83 Program125 0.83 Program126 0.83 Program127 0.83 Program128 0.83 Program129 0.82 Program130 0.82 Program131 0.82 Program132 0.82 Program133 0.82 Program134 0.82 Program135 0.82 Program136 0.82 Program137 0.82 Program138 0.81 Program139 0.81 Program140 0.81 Program141 0.81 Program142 0.81 Program143 0.81 Program144 0.81 Program145 0.81 Program146 0.81 Program147 0.8 Program148 0.8 Program149 0.8 Program150 0.8 Program151 0.8 Program152 0.8 Program153 0.8 Program154 0.8 Program155 0.8 Program156 0.79 Program157 0.79 Program158 0.79 Program159 0.79 Program160 0.79 Program161 0.79 Program162 0.79 Program163 0.79 Program164 0.79 Program165 0.78 Program166 0.78 Program167 0.78 Program168 0.78 Program169 0.78 Program170 0.78 Program171 0.78 Program172 0.78 Program173 0.78 Program174 0.77 Program175 0.77 Program176 0.77 Program177 0.77 Program178 0.77 Program179 0.77 Program180 0.77 Program181 0.77 Program182 0.77 Program183 0.76 Program184 0.76 Program185 0.76 Program186 0.76 Program187 0.76 Program188 0.76 Program189 0.76 Program190 0.76 Program191 0.76 Program192 0.75 Program193 0.75 Program194 0.75 Program195 0.75 Program196 0.75 Program197 0.75 Program198 0.75 Program199 0.75 Program200 0.75 Program201 0.74 Program202 0.74 Program203 0.74 Program204 0.74 Program205 0.74 Program206 0.74 Program207 0.74 Program208 0.74 Program209 0.74 Program210 0.73 Program211 0.73 Program212 0.73 Program213 0.73 Program214 0.73 Program215 0.73 Program216 0.73 Program217 0.73 Program218 0.73 Program219 0.72 Program220 0.72 Program221 0.72 Program222 0.72 Program223 0.72 Program224 0.72 Program225 0.72 Program226 0.72 Program227 0.72 Program228 0.71 Program229 0.71 Program230 0.71 Program231 0.71 Program232 0.71 Program233 0.71 Program234 0.71 Program235 0.71 Program236 0.71 Program237 0.7 Program238 0.7 Program239 0.7 Program240 0.7 Program241 0.7 Program242 0.7 Program243 0.7 Program244 0.7 Program245 0.7 Program246 0.69 Program247 0.69 Program248 0.69 Program249 0.69 Program250 0.69 Program251 0.69 Program252 0.69 Program253 0.69 Program254 0.69 Program255 0.68 Program256 0.68 Program257 0.68 Program258 0.68 Program259 0.68 Program260 0.68 Program261 0.68 Program262 0.68 Program263 0.68 Program264 0.67 Program265 0.67 Program266 0.67 Program267 0.67 Program268 0.67 Program269 0.67 Program270 0.67 Program271 0.67 Program272 0.67 Program273 0.66 Program274 0.66 Program275 0.66 Program276 0.66 Program277 0.66 Program278 0.66 Program279 0.66 Program280 0.66 Program281 0.65 Program282 0.65 Program283 0.65 Program284 0.65 Program285 0.65 Program286 0.65 Program287 0.65 Program288 0.65 Program289 0.64 Program290 0.64 Program291 0.64 Program292 0.64 Program293 0.64 Program294 0.64 Program295 0.64 Program296 0.64 Program297 0.63 Program298 0.63 Program299 0.63 Program300 0.63 Program301 0.63 Program302 0.63 Program303 0.63 Program304 0.63 Program305 0.62 Program306 0.62 Program307 0.62 Program308 0.62 Program309 0.62 Program310 0.62 Program311 0.62 Program312 0.62 Program313 0.61 Program314 0.61 Program315 0.61 Program316 0.61 Program317 0.61 Program318 0.61 Program319 0.61 Program320 0.61 Program321 0.6 Program322 0.6 Program323 0.6 Program324 0.6 Program325 0.6 Program326 0.6 Program327 0.6 Program328 0.6 Program329 0.59 Program330 0.59 Program331 0.59 Program332 0.59 Program333 0.59 Program334 0.59 Program335 0.59 Program336 0.59 Program337 0.58 Program338 0.58 Program339 0.58 Program340 0.58 Program341 0.58 Program342 0.58 Program343 0.58 Program344 0.58 Program345 0.57 Program346 0.57 Program347 0.57 Program348 0.57 Program349 0.57 Program350 0.57 Program351 0.57 Program352 0.57 Program353 0.56 Program354 0.56 Program355 0.56 Program356 0.56 Program357 0.56 Program358 0.56 Program359 0.56 Program360 0.56 Program361 0.55 Program362 0.55 Program363 0.55 Program364 0.55 Program365 0.55 Program366 0.55 Program367 0.55 Program368 0.55 Program369 0.54 Program370 0.54 Program371 0.54 Program372 0.54 Program373 0.54 Program374 0.54 Program375 0.54 Program376 0.54 Program377 0.53 Program378 0.53 Program379 0.53 Program380 0.53 Program381 0.53 Program382 0.53 Program383 0.53 Program384 0.53 Program385 0.52 Program386 0.52 Program387 0.52 Program388 0.52 Program389 0.52 Program390 0.52 Program391 0.52 Program392 0.52 Program393 0.51 Program394 0.51 Program395 0.51 Program396 0.51 Program397 0.51 Program398 0.51 Program399 0.51 Program400 0.51 Program401 0.5 Program402 0.5 Program403 0.5 Program404 0.5 Program405 0.5 Program406 0.5 Program407 0.5 Program408 0.5 Program409 0.49 Program410 0.49 Program411 0.49 Program412 0.49 Program413 0.49 Program414 0.49 Program415 0.49 Program416 0.49 Program417 0.48 Program418 0.48 Program419 0.48 Program420 0.48 Program421 0.48 Program422 0.48 Program423 0.48 Program424 0.48 Program425 0.47 Program426 0.47 Program427 0.47 Program428 0.47 Program429 0.47 Program430 0.47 Program431 0.47 Program432 0.47 Program433 0.46 Program434 0.46 Program435 0.46 Program436 0.46 Program437 0.46 Program438 0.46 Program439 0.46 Program440 0.46 Program441 0.45 Program442 0.45 Program443 0.45 Program444 0.45 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Program633 0.21 Program634 0.21 Program635 0.21 Program636 0.21 Program637 0.21 Program638 0.21 Program639 0.21 Program640 0.21 Program641 0.2 Program642 0.2 Program643 0.2 Program644 0.2 Program645 0.2 Program646 0.2 Program647 0.2 Program648 0.2 Program649 0.19 Program650 0.19 Program651 0.19 Program652 0.19 Program653 0.19 Program654 0.19 Program655 0.19 Program656 0.19 Program657 0.18 Program658 0.18 Program659 0.18 Program660 0.18 Program661 0.18 Program662 0.18 Program663 0.18 Program664 0.18 Program665 0.17 Program666 0.17 Program667 0.17 Program668 0.17 Program669 0.17 Program670 0.17 Program671 0.17 Program672 0.17 Program673 0.16 Program674 0.16 Program675 0.16 Program676 0.16 Program677 0.16 Program678 0.16 Program679 0.16 Program680 0.16 Program681 0.15 Program682 0.15 Program683 0.15 Program684 0.15 Program685 0.15 Program686 0.15 Program687 0.15 Program688 0.15 Program689 0.14 Program690 0.14 Program691 0.14 Program692 0.14 Program693 0.14 Program694 0.14 Program695 0.14 Program696 0.14 Program697 0.13 Program698 0.13 Program699 0.13 Program700 0.13 Program701 0.13 Program702 0.13 Program703 0.13 Program704 0.13 Program705 0.12 Program706 0.12 Program707 0.12 Program708 0.12 Program709 0.12 Program710 0.12 Program711 0.12 Program712 0.12 Program713 0.11 Program714 0.11 Program715 0.11 Program716 0.11 Program717 0.11 Program718 0.11 Program719 0.11 Program720 0.11 Program721 0.1 Program722 0.1 Program723 0.1 Program724 0.1 Program725 0.1 Program726 0.1 Program727 0.1 Program728 0.1 Program729 0.09 Program730 0.09 Program731 0.09 Program732 0.09 Program733 0.09 Program734 0.09 Program735 0.09 Program736 0.09 Program737 0.08 Program738 0.08 Program739 0.08 Program740 0.08 Program741 0.08 Program742 0.08 Program743 0.08 Program744 0.08 Program745 0.07 Program746 0.07 Program747 0.07 Program748 0.07 Program749 0.07 Program750 0.07 Program751 0.07 Program752 0.07 Program753 0.06 Program754 0.06 Program755 0.06 Program756 0.06 Program757 0.06 Program758 0.06 Program759 0.06 Program760 0.06 Program761 0.05 Program762 0.05 Program763 0.05 Program764 0.05 Program765 0.05 Program766 0.05 Program767 0.05 Program768 0.05 Program769 0.04 Program770 0.04 Program771 0.04 Program772 0.04 Program773 0.04 Program774 0.04 Program775 0.04 Program776 0.04 Program777 0.03 Program778 0.03 Program779 0.03 Program780 0.03 Program781 0.03 Program782 0.03 Program783 0.03 Program784 0.03 Program785 0.02 Program786 0.02 Program787 0.02 Program788 0.02 Program789 0.02 Program790 0.02 Program791 0.02 Program792 0.02 Program793 0.01 Program794 0.01 Program795 0.01 Program796 0.01 Program797 0.01 Program798 0.01 Program799 0.01 Program800 0.01 ; run; Pattern1 color=darkblue; Pattern2 color=blue; Pattern3 color=lightblue; Pattern4 color=pink; Pattern5 color=lightred; Pattern6 color=red; proc gchart data=DataforSAS2; pie Program / sumvar=Hours_Watching_Monthly_rec other=5 otherlabel='Other' levels=all clockwise value=none slice=INSIDE percent=INSIDE coutline=black noheading ASCENDING plabel=(height=.8 font='Arial Black'); title 'Hours watching monthly by program';run; The produced graph is below: Can you help out with this? Interestingly, when I try the code "Pattern color=blue repeat=500;" I get a pie chart where all of the slices are blue . . . the problem, of course, is that I need a difference color for each slice! Thank you again.

confooseddesi89 · ‎01-25-2024

Thanks; the code ran fine when I added the PATTERN statement, but none of the slice colors changed in the output. proc gchart data=DataforSAS; pie Program / sumvar=Hours_Watching_Monthly other=5 otherlabel='Other' levels=all clockwise value=none slice=INSIDE percent=INSIDE coutline=black noheading ASCENDING plabel=(height=.8 font='Arial Black'); Pattern1 color=blue; title 'Hours watching monthly by program';run;title;run;quit; I fixed the code - not sure why the spaces disappeared. PROC SGPIE SAS is not available with my SAS version.

confooseddesi89 · ‎01-25-2024

Hello, I have some data with the number of hours of TV watching ( Hours_Watching_Monthly ) by program ( Program ). See data below: Data DataforSAS; Input Program :$9. Hours_Watching_Monthly; datalines; ProgramA 10.13 ProgramB 9.52 ProgramC 8.86 ProgramD 8.5 ProgramE 6.75 ProgramF 4.5 ProgramG 4.35 ProgramH 4.32 ProgramI 3.33 ProgramJ 2.93 ProgramK 2.26 ProgramL 0.95 ; run; I've created a pie chart using the following code: proc gchart data=DataforSAS; pie Program / sumvar=Hours_Watching_Monthly other=5 otherlabel='Other' levels=all clockwise value=none slice=INSIDE percent=INSIDE coutline=black noheading ASCENDING plabel=(height=.8 font='Arial Black'); title 'Hours watching monthly by program'; run; title; run; Here is the resulting pie chart: (1) I would like to control the color of each individual slice of the pie chart, by the program name (e.g., ProgramA is blue; ProgramB is red). I can't find an easy solution online. (2) Is there a way to make the percentages rounded to the nearest percentage point (e.g., 14% instead of 14.34%)? Could someone assist? Thanks!

confooseddesi89 · ‎10-12-2023

Hi everyone, I have a dataset where each row has the following variables: Ppt_ID (ID number), child_gender (Boy or Girl), and Data_days (Days of data). See below sample data: Data Days; Input Ppt_ID child_gender $ Data_days; datalines; 1 Boy 22.6429 2 Boy 22.4286 3 Girl 15.28571 4 Boy 14.5714 5 Girl 17.21429 6 Boy 18.5714 7 Boy 21.5 8 Girl 14.42857 9 Boy 16.7143 10 Boy 20.2857 11 Boy 15.3571 12 Boy 12.8571 13 Girl 20.21429 14 Girl 20.07143 15 Boy 15.2143 16 Boy 19.0714 17 Girl 15.57143 18 Boy 13.8571 19 Boy 15.9286 20 Boy 17.5 21 Girl 17.57143 22 Boy 14.7143 23 Girl 17 24 Girl 15.14286 25 Girl 16.21429 26 Girl 16.71429 27 Boy 14 28 Girl 17.14286 29 Girl 14.35714 30 Girl 13.35714 31 Boy 14.5714 32 Boy 16.7143 33 Girl 15.64286 34 Girl 16.35714 35 Girl 13.35714 36 Girl 16.28571 37 Boy 16.4286 38 Girl 15.78571 39 Girl 16 40 Boy 15.5714 ; run; I want to output the cumulative frequencies and percents by each child_gender , but in descending order within each group according to the outcome variable, Data_days . The code I have to produce frequencies by child_gender by descending Data_days is below: proc sort data=Days;by child_gender;run; proc freq data=Days NOPRINT;by child_gender;table Data_days/ out=gender_days;run; proc sort data=gender_days;by child_gender descending Data_days;run; proc print data=gender_days;run; The code produces the following, where Data_days is in descending order, by child_gender : child_gender Data_days COUNT PERCENT Boy 22.6429 1 5 Boy 22.4286 1 5 Boy 21.5 1 5 Boy 20.2857 1 5 Boy 19.0714 1 5 Boy 18.5714 1 5 Boy 17.5 1 5 Boy 16.7143 2 10 Boy 16.4286 1 5 Boy 15.9286 1 5 Boy 15.5714 1 5 Boy 15.3571 1 5 Boy 15.2143 1 5 Boy 14.7143 1 5 Boy 14.5714 2 10 Boy 14 1 5 Boy 13.8571 1 5 Boy 12.8571 1 5 Girl 20.2143 1 5 Girl 20.0714 1 5 Girl 17.5714 1 5 Girl 17.2143 1 5 Girl 17.1429 1 5 Girl 17 1 5 Girl 16.7143 1 5 Girl 16.3571 1 5 Girl 16.2857 1 5 Girl 16.2143 1 5 Girl 16 1 5 Girl 15.7857 1 5 Girl 15.6429 1 5 Girl 15.5714 1 5 Girl 15.2857 1 5 Girl 15.1429 1 5 Girl 14.4286 1 5 Girl 14.3571 1 5 Girl 13.3571 2 10 What I want to output is the following, where the cumulative count and percent are calculated beginning at the highest Data_days value, again by child_gender - that is, each cell is summing up the Count (or Percent) across all the previous rows and the current row: child_gender Data_days COUNT PERCENT Cumulative_count Cumulative_percent Boy 22.6429 1 5 1 5 Boy 22.4286 1 5 2 10 Boy 21.5 1 5 3 15 Boy 20.2857 1 5 4 20 Boy 19.0714 1 5 5 25 Boy 18.5714 1 5 6 30 Boy 17.5 1 5 7 35 Boy 16.7143 2 10 9 45 Boy 16.4286 1 5 10 50 Boy 15.9286 1 5 11 55 Boy 15.5714 1 5 12 60 Boy 15.3571 1 5 13 65 Boy 15.2143 1 5 14 70 Boy 14.7143 1 5 15 75 Boy 14.5714 2 10 17 85 Boy 14 1 5 18 90 Boy 13.8571 1 5 19 95 Boy 12.8571 1 5 20 100 Girl 20.2143 1 5 1 5 Girl 20.0714 1 5 2 10 Girl 17.5714 1 5 3 15 Girl 17.2143 1 5 4 20 Girl 17.1429 1 5 5 25 Girl 17 1 5 6 30 Girl 16.7143 1 5 7 35 Girl 16.3571 1 5 8 40 Girl 16.2857 1 5 9 45 Girl 16.2143 1 5 10 50 Girl 16 1 5 11 55 Girl 15.7857 1 5 12 60 Girl 15.6429 1 5 13 65 Girl 15.5714 1 5 14 70 Girl 15.2857 1 5 15 75 Girl 15.1429 1 5 16 80 Girl 14.4286 1 5 17 85 Girl 14.3571 1 5 18 90 Girl 13.3571 2 10 20 100 Could someone help me with this? Thank you.

confooseddesi89 · ‎09-17-2023

Hello, I've created a graph from my data that is an overlaid histogram (HISTOGRAM statement). Here is my code: proc sgplot data=data; styleattrs datacolors=(Blue Green Red VLIP DEYBR Yellow) backcolor=white wallcolor=white; where race ~=''; format race $race.;histogram Week / group=race transparency=0.5; xaxis label='#Weeks' LABELATTRS=(size=14) VALUEATTRS=(size=13); keylegend / title='Weeks by race' TITLEATTRS=(size=16) valueattrs=(size=12); yaxis LABELATTRS=(size=14) VALUEATTRS=(size=13) grid GRIDATTRS=(color=LIGGR); run; Here is the graph that is produced: I'd like to produce the same exact graph, except with lines instead of vertical bars (e.g., sgplot type "series"). I've tried a series graph, but a "y" variable is required, and there is only one variable in this graph (other than the "by" group) with the percent on the y-axis. I've Googled around and can't seem to find a solution. Can you help? Thanks.

confooseddesi89 · ‎09-08-2023

Bump - any help is appreciated given I'm presenting a poster on this in <2 weeks!

confooseddesi89 · ‎09-08-2023

Not sure why that happened - should be fixed now.

confooseddesi89 · ‎09-08-2023

Hello, I have a dataset where each participant had a program installed on their phones for several days (long format). The program measured the person's usage of a certain phone app in Duration in seconds ( Duration_s ) several times a day per person. Each row indicates the participant ID ( Ppt_ID ), the start datetime of the app usage ( Start ), the end datetime of the app usage ( End ), and Duration_s . See below the code: Data Duration; Input Ppt_ID Start :DATETIME16. End :DATETIME16. Duration_s; format Start DATETIME16. End DATETIME16.; datalines; 1 26May20:17:00:47 26May20:17:00:47 0 1 26May20:17:00:47 26May20:17:01:11 24 1 26May20:19:38:10 26May20:19:38:10 0 1 26May20:19:38:10 26May20:19:38:12 2 1 26May20:20:08:41 26May20:20:09:51 70 1 26May20:20:09:51 26May20:20:10:19 28 1 26May20:20:28:25 26May20:20:28:26 1 1 26May20:20:28:26 26May20:20:28:41 15 1 26May20:20:44:08 26May20:20:44:11 3 1 26May20:21:55:30 26May20:21:55:32 2 1 26May20:21:59:03 26May20:21:59:07 4 1 26May20:23:43:05 26May20:23:43:05 0 1 26May20:23:43:05 26May20:23:43:49 44 1 27May20:00:20:01 27May20:00:20:14 13 1 27May20:00:31:22 27May20:00:31:25 3 1 27May20:06:05:52 27May20:06:06:04 12 1 27May20:18:11:33 27May20:18:11:52 19 1 27May20:19:15:36 27May20:19:15:50 14 1 27May20:19:17:09 27May20:19:17:11 2 1 28May20:00:14:34 28May20:00:15:39 65 1 28May20:00:34:06 28May20:00:34:06 0 1 28May20:00:34:06 28May20:00:34:09 3 1 28May20:16:09:20 28May20:16:09:21 1 1 28May20:16:09:21 28May20:16:09:37 16 1 28May20:16:09:37 28May20:16:09:43 6 1 28May20:16:10:37 28May20:16:12:59 142 1 28May20:16:12:59 28May20:16:13:11 12 1 28May20:16:15:08 28May20:16:15:29 21 1 28May20:16:17:39 28May20:16:17:42 3 1 28May20:16:17:42 28May20:16:18:41 59 1 28May20:16:20:01 28May20:16:20:25 24 1 28May20:16:22:00 28May20:16:22:16 16 1 28May20:16:27:12 28May20:16:27:30 18 1 13Jul20:21:30:23 13Jul20:21:30:23 0 1 13Jul20:21:30:23 13Jul20:21:32:13 110 1 13Jul20:22:02:51 13Jul20:22:02:55 4 1 13Jul20:22:02:55 13Jul20:22:02:57 2 1 13Jul20:22:05:15 13Jul20:22:05:21 6 1 13Jul20:22:23:14 13Jul20:22:23:14 0 1 13Jul20:22:23:14 13Jul20:22:23:18 4 1 13Jul20:22:23:24 13Jul20:22:24:52 88 1 13Jul20:22:26:41 13Jul20:22:27:14 33 1 13Jul20:22:35:45 13Jul20:22:50:24 879 1 13Jul20:22:59:23 13Jul20:22:59:30 7 1 13Jul20:22:59:37 13Jul20:22:59:51 14 1 13Jul20:23:00:08 13Jul20:23:00:20 12 1 13Jul20:23:00:25 13Jul20:23:23:37 1392 1 13Jul20:23:23:37 13Jul20:23:34:12 635 1 14Jul20:20:15:06 14Jul20:20:38:29 1403 1 14Jul20:20:38:29 14Jul20:20:43:17 288 1 14Jul20:20:55:03 14Jul20:20:57:49 166 1 14Jul20:21:04:56 14Jul20:21:06:07 71 1 14Jul20:21:06:07 14Jul20:21:06:16 9 1 14Jul20:21:10:07 14Jul20:21:12:29 142 1 14Jul20:22:32:18 14Jul20:22:34:05 107 1 14Jul20:22:40:38 14Jul20:22:40:41 3 1 14Jul20:22:40:41 14Jul20:22:40:48 7 1 14Jul20:22:49:27 14Jul20:22:49:28 1 1 14Jul20:22:49:28 14Jul20:22:49:30 2 1 14Jul20:22:49:39 14Jul20:22:49:49 10 1 14Jul20:23:28:04 14Jul20:23:28:06 2 1 14Jul20:23:28:10 14Jul20:23:32:09 239 1 14Jul20:23:44:08 14Jul20:23:44:35 27 1 14Jul20:23:44:35 14Jul20:23:48:08 213 1 15Jul20:16:46:31 15Jul20:16:46:53 22 1 15Jul20:16:46:53 15Jul20:16:48:53 120 1 15Jul20:16:51:33 15Jul20:16:56:04 271 1 15Jul20:16:56:04 15Jul20:16:57:02 58 1 15Jul20:19:44:30 15Jul20:19:45:32 62 1 15Jul20:19:45:32 15Jul20:19:45:32 0 1 15Jul20:21:31:33 15Jul20:21:31:37 4 1 15Jul20:22:50:46 15Jul20:22:51:41 55 1 15Jul20:22:51:44 15Jul20:22:52:06 22 1 15Jul20:23:25:45 15Jul20:23:27:33 108 1 16Jul20:22:00:07 16Jul20:22:02:11 124 1 16Jul20:22:02:17 16Jul20:22:03:19 62 1 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18Jul20:19:13:38 262 1 18Jul20:19:48:19 18Jul20:19:52:05 226 1 18Jul20:19:52:05 18Jul20:19:54:23 138 1 18Jul20:19:52:36 18Jul20:19:52:36 0 1 18Jul20:19:52:36 18Jul20:20:04:02 686 1 18Jul20:20:04:02 18Jul20:20:20:53 1011 1 18Jul20:20:20:53 18Jul20:20:34:00 787 1 18Jul20:22:29:25 18Jul20:22:30:00 35 1 18Jul20:22:30:00 18Jul20:22:30:06 6 1 18Jul20:23:12:58 18Jul20:23:12:59 1 1 18Jul20:23:12:59 18Jul20:23:13:04 5 1 18Jul20:23:13:11 18Jul20:23:15:27 136 1 18Jul20:23:15:27 18Jul20:23:15:46 19 1 18Jul20:23:15:59 18Jul20:23:16:08 9 1 18Jul20:23:16:08 18Jul20:23:22:01 353 1 18Jul20:23:22:01 18Jul20:23:23:23 82 1 18Jul20:23:23:23 18Jul20:23:25:24 121 1 18Jul20:23:40:30 18Jul20:23:40:47 17 1 18Jul20:23:40:47 18Jul20:23:48:52 485 1 19Jul20:18:12:03 19Jul20:18:12:03 0 1 19Jul20:18:12:09 19Jul20:18:12:13 4 1 19Jul20:18:12:24 19Jul20:18:13:15 51 1 19Jul20:19:16:24 19Jul20:19:16:34 10 1 19Jul20:19:16:34 19Jul20:19:16:34 0 1 19Jul20:19:16:37 19Jul20:19:16:39 2 1 19Jul20:19:16:41 19Jul20:19:16:41 0 1 19Jul20:19:16:41 19Jul20:19:16:58 17 1 19Jul20:21:19:30 19Jul20:21:19:30 0 1 19Jul20:21:19:30 19Jul20:21:19:32 2 1 19Jul20:21:19:38 19Jul20:21:20:52 74 1 19Jul20:22:15:25 19Jul20:22:40:01 1476 1 19Jul20:23:22:05 19Jul20:23:22:32 27 1 19Jul20:23:22:32 19Jul20:23:22:54 22 2 10Jun20:20:29:43 10Jun20:20:32:50 187 2 10Jun20:20:32:50 10Jun20:20:33:05 15 2 10Jun20:20:33:05 10Jun20:20:35:48 163 2 10Jun20:20:38:00 10Jun20:20:40:48 168 2 10Jun20:20:40:48 10Jun20:20:40:51 3 2 10Jun20:20:40:51 10Jun20:20:40:56 5 2 10Jun20:20:41:09 10Jun20:20:43:24 135 2 10Jun20:20:43:24 10Jun20:20:44:12 48 2 10Jun20:20:44:15 10Jun20:20:52:23 488 2 10Jun20:20:52:23 10Jun20:20:55:07 164 2 10Jun20:20:55:07 10Jun20:21:06:00 653 2 10Jun20:21:29:41 10Jun20:21:50:23 1242 2 10Jun20:21:50:23 10Jun20:21:50:24 1 2 10Jun20:21:50:30 10Jun20:21:51:28 58 2 10Jun20:21:51:28 10Jun20:21:53:40 132 2 11Jun20:14:41:40 11Jun20:14:42:40 1 2 11Jun20:23:31:08 11Jun20:23:34:25 197 2 11Jun20:23:34:25 11Jun20:23:36:01 96 2 11Jun20:23:36:01 11Jun20:23:36:03 2 2 11Jun20:23:36:05 11Jun20:23:39:43 218 2 11Jun20:23:39:43 11Jun20:23:41:51 128 2 11Jun20:23:41:51 11Jun20:23:42:15 24 2 11Jun20:23:42:23 11Jun20:23:44:44 141 2 11Jun20:23:44:44 11Jun20:23:47:03 139 2 11Jun20:23:47:03 11Jun20:23:47:04 1 2 11Jun20:23:48:00 11Jun20:23:48:28 28 2 11Jun20:23:48:28 11Jun20:23:48:55 27 2 11Jun20:23:48:55 11Jun20:23:53:05 250 2 11Jun20:23:53:05 11Jun20:23:58:36 331 2 11Jun20:23:58:36 12Jun20:00:04:12 336 2 12Jun20:21:52:43 12Jun20:21:58:06 323 2 12Jun20:21:58:06 12Jun20:22:00:48 162 2 12Jun20:22:00:48 12Jun20:22:01:11 23 2 12Jun20:22:01:11 12Jun20:22:03:08 117 2 12Jun20:22:04:51 12Jun20:22:12:45 474 2 12Jun20:22:12:45 12Jun20:22:13:38 53 2 12Jun20:22:13:59 12Jun20:22:14:11 12 2 12Jun20:22:14:11 12Jun20:22:23:22 551 2 12Jun20:22:23:22 12Jun20:22:23:59 37 2 12Jun20:22:23:59 12Jun20:22:24:28 29 2 12Jun20:22:24:28 12Jun20:22:25:41 73 2 12Jun20:22:25:41 12Jun20:22:56:15 1834 2 12Jun20:22:56:15 12Jun20:22:56:23 8 2 12Jun20:22:56:23 12Jun20:23:27:15 1852 2 12Jun20:23:27:15 12Jun20:23:29:08 113 2 12Jun20:23:29:08 12Jun20:23:44:16 908 2 12Jun20:23:44:16 12Jun20:23:45:58 102 2 12Jun20:23:46:55 13Jun20:00:20:55 2040 2 13Jun20:21:59:55 13Jun20:21:59:55 0 2 13Jun20:22:00:00 13Jun20:22:00:01 1 2 13Jun20:22:00:01 13Jun20:22:00:09 8 2 13Jun20:22:00:11 13Jun20:22:00:14 3 2 13Jun20:22:00:14 13Jun20:22:00:26 12 2 13Jun20:22:00:35 13Jun20:22:00:36 1 2 13Jun20:22:00:36 13Jun20:22:00:51 15 2 13Jun20:22:00:51 13Jun20:22:00:56 5 2 13Jun20:22:00:56 13Jun20:22:00:57 1 2 13Jun20:22:00:57 13Jun20:22:13:35 758 2 13Jun20:22:13:35 13Jun20:22:13:38 3 2 13Jun20:22:13:38 13Jun20:22:13:49 11 2 13Jun20:22:13:49 13Jun20:22:15:42 113 2 13Jun20:22:15:42 13Jun20:22:15:54 12 2 13Jun20:22:15:54 13Jun20:22:34:14 1100 2 13Jun20:22:34:33 13Jun20:22:38:58 265 2 13Jun20:22:39:37 13Jun20:22:39:44 7 2 13Jun20:22:40:26 13Jun20:22:54:30 844 2 13Jun20:22:54:30 13Jun20:22:54:34 4 2 13Jun20:22:54:34 13Jun20:23:34:57 2423 2 14Jun20:00:04:17 14Jun20:00:08:24 247 2 14Jun20:21:10:26 14Jun20:21:11:37 71 2 14Jun20:21:11:48 14Jun20:21:15:17 209 2 14Jun20:21:15:17 14Jun20:21:33:48 1111 2 14Jun20:21:33:48 14Jun20:21:45:01 673 2 14Jun20:21:45:01 14Jun20:21:45:44 43 2 14Jun20:21:45:44 14Jun20:21:47:04 80 2 14Jun20:21:47:04 14Jun20:22:08:04 1260 2 14Jun20:22:08:04 14Jun20:22:10:27 143 2 14Jun20:22:10:27 14Jun20:22:23:59 812 2 14Jun20:22:23:59 14Jun20:22:39:50 951 2 14Jun20:22:42:20 14Jun20:22:59:23 1023 2 14Jun20:23:00:06 14Jun20:23:34:47 2081 2 14Jun20:23:34:50 14Jun20:23:49:57 907 2 14Jun20:23:49:57 14Jun20:23:59:16 559 2 14Jun20:23:59:16 15Jun20:00:18:12 1136 2 15Jun20:23:03:40 15Jun20:23:03:59 19 2 15Jun20:23:03:59 15Jun20:23:04:14 15 2 15Jun20:23:04:14 15Jun20:23:09:14 300 2 15Jun20:23:09:14 15Jun20:23:10:21 67 2 15Jun20:23:11:21 15Jun20:23:14:50 209 2 15Jun20:23:14:50 15Jun20:23:18:04 194 2 15Jun20:23:18:04 15Jun20:23:18:11 7 2 15Jun20:23:18:11 15Jun20:23:23:00 289 2 15Jun20:23:23:00 15Jun20:23:32:54 594 2 15Jun20:23:32:54 15Jun20:23:33:24 30 2 15Jun20:23:33:24 15Jun20:23:35:49 145 2 15Jun20:23:35:49 15Jun20:23:37:27 98 2 15Jun20:23:38:34 15Jun20:23:40:16 102 2 15Jun20:23:40:16 15Jun20:23:44:19 243 2 15Jun20:23:44:19 15Jun20:23:44:23 4 2 15Jun20:23:54:59 15Jun20:23:55:03 4 2 15Jun20:23:55:32 16Jun20:00:13:29 1077 Run; I want to calculate the number of days the program was installed per person. Normally I would do proc means by Ppt_ID , and calculate days_installed as maximum End datetime per person - minimum Start datetime per person. However, there are times when the person uninstalled the program and re-installed the program several days later (as can be seen in the gap in datetimes between rows 33 and 34). The calculation I proposed would not account for the large gaps where the program was not in use. What I would like to do is the following: 1) Where a person has continuous program usage (e.g., Ppt_ID #2), meaning that each Start datetime starts <1 day from the previous row's End datetime, calculate the total days of program installation (per person) using the method I described above: last End datetime - first Start datetime for that person. 2) Where a person has >=1 days between an End datetime and the next row's Start datetime (e.g., Ppt_ID #1), minus that gap in days from the total amount of days installed. In other words, per person, add the time for each set of rows that are <1 day from each other, and then add the amount of time for the next set of days that are <1 day from each other. An example would be for Ppt_ID #1, the first "chunk" of time would be 26MAY20:17:00:47 ( Start , row 1) to 28MAY20:16:27:30 ( End , row 33); and the second "chunk" of time would be 13JUL20:21:30:23 ( Start , row 34) to 19JUL20:23:22:54 ( End , row 134). The total amount of time for this person would be ((28MAY20:16:27:30 - 26MAY20:17:00:47) + (19JUL20:23:22:54 - 13JUL20:21:30:23)) / 86400, or 8.055023148 days for Ppt_ID #1. For ID 2, there are no gaps >=1 day, so the number of days would just be (16JUN20:00:13:29 ( End , row 235) - 10JUN20:20:29:43 ( Start , row 135)) / 86400, or 5.155393519 days for Ppt_ID #2. Could someone assist? Thanks.

confooseddesi89 · ‎09-04-2023

Hello, I've created two graphs from my data, one an overlaid histogram (HISTOGRAM statement) and one a stacked histogram (SGPANEL statement). Here is my code: proc sgplot data=Surveys;styleattrs datacolors=(blue CXFF00FF); where gender~='';styleattrs backcolor=white wallcolor=white; format gender $gender.;histogram Weeks / group=gender transparency=0.5; xaxis label='Weeks' LABELATTRS=(size=14) VALUEATTRS=(size=13); keylegend / title='Gender' TITLEATTRS=(size=16) valueattrs=(size=12); yaxis LABELATTRS=(size=14) VALUEATTRS=(size=13) grid GRIDATTRS=(color=LIGGR);run; proc sgpanel data=Surveys; styleattrs datacolors=(blue CXFF00FF) datacontrastcolors=(blue CXFF00FF); where gender~=''; styleattrs backcolor=white wallcolor=white; format gender $gender.;panelby gender / rows=2 layout=rowlattice; histogram Weeks; COLAXIS label='Weeks' LABELATTRS=(size=14) VALUEATTRS=(size=13); rowaxis LABELATTRS=(size=14) VALUEATTRS=(size=13) grid GRIDATTRS=(color=LIGGR); keylegend / title='Gender' TITLEATTRS=(size=16) valueattrs=(size=12); run; Here are the graphs that come out: The overlaid histogram (first graph) comes out the way I need with regard to the colors of the bars for each group (blue for male and a purplish color, CXFF00FF, for females). However, I can't figure out how to color the SGPANEL(second graph) the same way, despite using " styleattrs datacolors=(blue CXFF00FF) datacontrastcolors=(blue CXFF00FF) ". I've Googled around and can't seem to find a solution. Can you help? Thanks.

confooseddesi89 · ‎09-02-2023

Thanks, I found the code that worked: proc template; define style styles.nobreak; parent=styles.default; style body from body / pagebreakhtml=_undef_; end; run; ods html file="temp.html" style=styles.nobreak; Unfortunately for some reason the background colors of the graphs I output turned gray; I added "styleattrs backcolor=white wallcolor=white;" to the proc sgplot to turn them back to white.

confooseddesi89 · ‎09-02-2023

Okay . . . I'm not sure how to describe this any better than I already have. It's the horizontal footer line that shows up in the Results output after each PROC. If you have ever run multiple PROCs, you will see it in the Results viewer clearly. Maybe the below image will clarify (the circled line):

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