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lewat

Hi there, I am running into issues with the lag function. I am able to use lag(variable), if recalling only the observation immediately prior, however I am not able to use lag2(variable), lag3(variable), etc.. As soon as I enter a numerical value (n) next to the lag function, it is no longer highlighted in blue or recognized as a SAS function. Checking my data shows it is not picking up the function, beyond the first lag(variable), with no 'n' specified. Has anyone experienced this? I am using SAS Studio.

lindamtl

when use proc logistic procedure to set up default model in bank risk analysis, for the current customer, there are 4 kinds of results after application for the loan, accept, refuse , cancel or nouse. when set up model, to analysis if new customer will default or could approve their application of loan, we will use the current customer loan history. refused=1, accept=0 but how to deal with cancel and nouse, i think nouse looked as accepted, but for cancel, how to deal with it?

stellapersis7

Hi all, Please help me to code this. This is the dataset below- I have 2 drugs being used for each ID i.e., SGA and DM. I have multiple start date and end dates for each ID and drug. I want to see if the DM_start falls into any of the SGA_start and SGA_end under each id. That is DM_start of period 3 can fall in the SGA_start and SGA_end of period1. And also calculate the number of overlapping days for each time period. I want to know the no. of days for each orange period. Thank you all in advance, Any help would be appreciated.

jmbmpm

I am trying to analyze a dataset that has two dichotomous variables (placstat and hiv) predicting a continuous variable (lplacwbc). The data are unbalanced. I am interested in seeing a matrix for pairwise comparisons, with p values, for all possible comparisons. The following code yields the output provided (not showing the model output, only lsmeans output). I may be missing something simple here, but I cannot figure it out! proc glm; class placstat hiv; model lplacwbc=placstat hiv placstat*hiv/ ss1 ss2 ss3 ss4; lsmeans placstat hiv/pdiff=all adjust=tukey; run;

cbal324

Hi all - I have a specific report format that I am trying to achieve using PROC REPORT, and I'm getting pretty close, but there's a column subtotal element that I cannot figure out. I have sales data, summarized by Client, Quarter, and Week. Each quarter contains an arbitrary number of weeks, up to around 13. I would like to list Client information down the side, with: Quarters listed across the top, each Quarter's corresponding Weeks nested underneath, the table populated with Sales for each Client-Week, and Grand Totals on the far right and bottom. I've gotten this far on my own just fine. Where I'm getting stuck is that I'd also like to show Quarterly subtotal columns, at the end of each Quarter. I have tried different variations of "break after" and the like, but I'm just not getting there. Does anyone in the community have any suggestions? Below is some sample code that represents the progress I've made so far. I've also attached an image showing what I currently "have" versus what I "want." I greatly appreciate any and all help - cheers! data one; input client_rank client $9. client_id quarter $ weekending sales; datalines; 1 Apple 12345 Q1 20240106 1000 1 Apple 12345 Q1 20240113 2000 1 Apple 12345 Q1 20240127 5000 1 Apple 12345 Q2 20240413 3000 1 Apple 12345 Q2 20240420 4000 1 Apple 12345 Q2 20240427 2000 2 Microsoft 67890 Q1 20240106 3000 2 Microsoft 67890 Q1 20240113 1000 2 Microsoft 67890 Q1 20240127 2500 2 Microsoft 67890 Q2 20240413 4000 2 Microsoft 67890 Q2 20240420 500 2 Microsoft 67890 Q2 20240427 1500 ; run; proc report data = one nowd; column client_rank client client_id quarter, weekending, sales ("Total" sales=tot); define client_rank / noprint group; define client / "Client" group; define client_id / "Client ID" group; define quarter / " " across; define weekending / " " across nozero; define sales / "Sales" analysis sum format=comma12.0; define tot / "Sales" analysis sum format=comma12.0; rbreak after / summarize; compute after; client = "Total"; endcomp; define client_rank / order group; run;