My question is: How can I use a html code with SAS Visual Analytics  to select a report ?  Someone has an example code ? ... View more

Hello, I am struggling with controlling page breaks in proc report/ods PDF. I already did a post a few months ago (https://communities.sas.com/t5/ODS-and-Base-Reporting/How-to-suppress-table-splitting-in-ODS-PDF/m-p/907292#M26446), but I have not found a solution yet. First, I thought I will just use ods rtf with the keepn option, but that brings more problems than it solves. Now, I have just found a paper that kind of describes the problem from Stetz et al. "Controlling Page Breaks when using Proc Report" (https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://support.sas.com/resources/papers/proceedings-archive/SUGI95/Sugi-95-70%2520Stetz.pdf&ved=2ahUKEwjHib_10PuFAxUi_rsIHa0GA9oQFnoECBAQAw&usg=AOvVaw0Z1J0znhm8-SeB_Oxq4tBr). Unfortunately, the paper is quite short and I do not understand how the data in the example code is structured. My question is: Does anyone have further knowledge on using "line counting" to control page breaks with proc report? Or does anyone know other papers that talk about this issue?   @Cynthia_sas did you write the paper? And if so, have you got any tips for the page break control?   If anyone needs code examples I can provide code and data, but for now I thought it would be more useful if I try different approaches before just posting my code where I did not achieve much yet. I am grateful for any help.   Kind regards ... View more

Hi folks,    We have 9.4 M6 installed on Linux server. We use a horizontal web cluster for the middle tier. We need to disable/remove two of the clusters. The main web cluster remains.    There is an easy way to disable or remove a web cluster?    Regards,  ... View more

Hello to community,   Than you for your time, the problem is following  I am doing classical Pavlovian human conditioning which in very general terms is changing of attitude  of a person to some stimulus.   One of the way to check it is simply to ask the person to rate the attitude to the symbol (in my case : the level of excitement on the scale from one to nine) .   It seams  rather easy task but due to the complexity of paradigm it becomes a little bit complicated.   First  we show a person two symbols: one we associate with money the other one is neutral and ask person to rate those symbols. then we switch association and previously neutral symbol becomes associated with money and previously associated with money becomes neutral. Then we do the same, but use pain instead of money.   In the end we have ratings for 8 different  associations each made by 20 participants.  In my model I have 4 categorical predictors. 1. Stimulus : can be associated with pain\money, or not (CS+, CS-). 2. Stage : stimulus before switch (original) and after switch (inverted). 3. Phase: stimulus associated with money (pleasant), associated with pain (unpleasant). 4 Subjects: 20 of them, each makes 8 ratings. My very general question is: what are your advises?  More actual question is: Definitely it is a repetitive measurement, but what parameters should be treated as repetitive.   Than you for your time. ... View more

Hello, I would like to ask for a clarification. If anyone could help me, I will be very much obliged. I have an experiment with five treatments (diets fed to animals in different parks), the response score was measured everyday, for 35 days. response variable is ordinal with three levels: 0 no effect, 1 mild effect, 2 high effect.   I have tried the following approach proc glimmix data=score method=?; class diet score; model score = diet / link=cumlogit dist=multinomial; random time / sub=park type=ar(1);   I have tried several 'method=' but would like advice which would best apply.   Also, in this paper with a similar approach, authors calculate the probability of score HIGH, which I would also like to apply here. Authors state the following formula but I'm not aware how to obtain the logit values in my case: p = exp(logit)/(1 + exp(logit)) https://www.mdpi.com/2076-2615/13/21/3350   Any ideas appreciated. ... View more