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Lijuu · ‎04-03-2023

Thank you very much. Really Apreciated, it is working well.

Lijuu · ‎04-03-2023

Dears: I have data in the following format: Year Code Population 2000 1001 10 2000 1001 15 2001 1001 4 2002 1001 3 2002 1001 5 2000 1002 5 2000 1002 8 2001 1002 10 2002 1002 25 2002 1002 30 I want to have a total population per year and code it as Year Code Population 2000 1001 25 2001 1001 4 2002 1001 8 2000 1002 13 2001 1002 10 2002 1002 55 And finally, I want to transpose the total population per year as Code Population_2000 Population_2001 Population_2002 1001 25 4 8 1002 13 10 55 Thank you very much for your help. Lijalem

Lijuu · ‎04-03-2023

Dears: I have data in the following format: Year Code Population 2000 1001 10 2000 1001 15 2001 1001 4 2002 1001 3 2002 1001 5 2000 1002 5 2000 1002 8 2001 1002 10 2002 1002 25 2002 1002 30 I want to have a total population per year and code it as Year Code Population 2000 1001 25 2001 1001 4 2002 1001 8 2000 1002 13 2001 1002 10 2002 1002 55 And finally, I want to transpose the total population per year as Code Population_2000 Population_2001 Population_2002 1001 25 4 8 1002 13 10 55 Thank you very much for your help. Lijalem

Lijuu · ‎02-07-2023

Dear ballardw: Sorry for the uneditable data that I posted. Nevertheless, you did it and your code executed the expected outcome well. Thank you very much.

Lijuu · ‎02-06-2023

Dear All Respected: I have the following data that consists of three variables (ID and X1). However, I want to create a new variable (New-X1) that counts the same values of X1. Herewith I attached the example. Could you help me to give a SAS code that enables to execution of a new variable as shown in the format below? Thank you very much. Best Regards. Lijuu

Lijuu · ‎10-20-2021

Thank you very much, Dear!

Lijuu · ‎10-20-2021

Thank you very much, Dear. It is successfully working.

Lijuu · ‎10-18-2021

Yes Indeed! V5 needs to be the lead of v4 as like as the suggested results. Thank you very much, Dear.

Lijuu · ‎10-18-2021

I have data consists ID, V1, and V2 for around 11000 observations. The sample format is given below for six observations. From this data, I wanna create V3, V4, and V5 as follows: V3 is the inverse order of V2. Example for ID=1, V2= (2,1) then V3=(1,2). V4 Is the cumulative greater type of V1 (in order of V3). Example for ID=1, V1=(1, 7) then V4=(7,8). V5 is always equal to 0 if V3=1, else V5 is equal to lag1 of V4. The expected output that I did manually is given below:

Lijuu · ‎06-29-2020

Thank you very much. But for me, still it is not working. I have sixteen predictors and two responses.

Lijuu · ‎06-03-2020

Dear Respected: I have the following data. ID county latitude. longtuide cancer_incidence 01 kama 32.10 15.21 10.21 02 jima 22.30 22.10 6.2 ... etc Now, I want to visualize the cancer_incidence of each county using the graph by considering the latitude and longitude so that I can get the correct shape of each county with their corresponding cancer-incidence. Dear, could you help me? Thank you Very much. Best Regards.

Lijuu · ‎06-03-2020

Dear all respected: Thank you for your help. I will check it out in R, too. Lijuu

Lijuu · ‎06-02-2020

Dear Respected: I have two binary outcomes (y1 and y2) and some predictors (x1, x2, ..., xp). I have tried to do separate analyses using logistic regression for each outcome given other predictors. However, it is not effective for my analysis as the correlation between the two outcomes (y1, y2) need to be considered and fit one model using bivariate logistic regression. Dear, how can I fit bivariate logistic regression using SAS that can address the above?

Lijuu · ‎01-12-2020

Dear Here is the material where I got the macro code (page 3). https://pdfs.semanticscholar.org/9b0f/0d0c88cdc9d67d7111ddb8f8cde01fda1538.pdf Thank you.

Lijuu · ‎01-12-2020

Hello, Dears! I'm trying to invoke a macro from my code but I keep getting this error: WARNING: Apparent invocation of macro TEST not resolved. ERROR 180-322: The statement is not valid or it is used out of proper order. here is the code that I used. LIBNAME Nmonia "D:\Lecture\research\Pnuemonia"; %MVIntegration(reflib='D:\Lecture\research\Pnuemonia'); %GMM(ds="D:\Lecture\research\Pnuemonia", file= Pnemonia, reflib="D:\Lecture\research\Pnuemonia", timeVar=time, outVar=response, predVar=prd imm brsf trtype weather vom resid cough famhis sex age weight, idVar=ID, alpha=0.05); please help me if you have any clue to model time-dependent covariates in longitudinal analysis when the response variable is count. Thank you.

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Date Last Visited	‎04-04-2023 11:08 PM

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