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I have a report (e.g. below) where a set of list controls control the data used in the scatter plot and a simple univariate linear regression. The table below has some reference x values, and the "Predicted" column is derived from the linear regression (right click on object, "Derive predicted", and included as an item in the dataset, avg. aggregation.) The linear regression itself updates whenever I select/deselect any item in the controls. But the 'Predicted' values are the values from the initial version of the regression from which I created the field. Is there any way to get the predicted y values from the regression updating dynamically and displayed in the report below? It should change whenever I change the list control selection. I just want the report viewer to be able to see the estimated y values at certain x values as they slice data in different combinations. Thank you!

YongJane

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Discaboota

DATA ALT; SET RCA.CLOSING_STATUS_TEST; ARRAY COLS[*] _CHARACTER_; ARRAY COLS_[*] _CHARACTER_; DO I = 1 TO DIM(COLS); IF MOD(I, 2) = 1 THEN COLS_[(I+1)/2] = COLS[I]; END; DROP I; RUN; Hi, I have been trying to select the alternate columns. If I am using this code then my third column's data shifts to second column and second's values are disappearing. I want to select alternate columns from my data set and my column names are in following: LOAN_NO, PRODUCT, FINAL_STATUS_05MAY24,DUE_N_TAG_05MAY24, FINAL_STATUS_06MAY24,DUE_N_TAG_06MAY24, FINAL_STATUS_07MAY24,DUE_N_TAG_07MAY24,... and so on. I want to create a table selecting columns:- LOAN_NO, FINAL_STATUS_05MAY24, FINAL_STATUS_06MAY24, FINAL_STATUS_07MAY24... and so on. If there is any alternate approach for making the selection, please advise me or please help with the given array code.

bhaskarkothavt

Hi everyone, I'm reaching out to the SAS community today seeking some guidance. Our team is currently in the process of transitioning from base SAS to SAS Studio and migrating our data storage from a local file server to Amazon S3. We've successfully uploaded all our historical datasets (in .sas7bdat format) from the local server to S3. However, we're encountering an issue when trying to load/read this data directly from S3 into CAS using SAS Studio. While I can perform various S3 bucket management tasks like creating, deleting, uploading data from CAS, and copying data between buckets, I'm unable to utilize PROC S3 to directly load data from S3 into CAS using .sas7bdat files. proc s3 keyid= &accesskey secret=&scaccesskey region=&regi; get "/viya-data/AAI/Pertape/datasets/pt31mar24.sas7bdat" "/nfsshare/data/sasdata/S3Transit/pt31mar24"; run; While using PROC S3 if a file size smaller than 2MB then i am getting different error than above one ". I cross checked with my sas admin that we have read and write permissions. Here's the interesting part: I can successfully use PROC CASUTIL's LOAD function to read data from S3 in formats like .sashdat, CSV, or Excel. It's specifically the .sas7bdat format that seems to be causing the issue. caslib amz dataSource=(srcType="s3" accesskeyid=&accesskey secretaccesskey=&scaccesskey region=&regi bucket="viya-data" objectpath="/AAI/Pertape/datasets/"); proc casutil incaslib=amz outcaslib="S3Transit"; load casdata="pt31mar24.sas7bdat" casout="tl_website_30apr24"; quit; Error message while using PROC CASUTIL : I'm wondering if anyone in the community has faced similar challenges when working with .sas7bdat files in S3 and CAS. If so, any insights or solutions you could share would be greatly appreciated. We are currently using SAS Viya LTS 2023.03 Thank you in advance for your time and assistance! -Bhaskar

lindamtl

I have a data set, the month variable:month is CHAR7. So there is only year and month, ,shown as this format 2015-11 2015-12 I need to change them into NOV2015, DEC2015. So firstly i need change it into SAS . I tried: date=input(month, date7.) or other time formate, but it doesnt work. As i need use conditional statement, so i dont want to separate them into year and month into to column, i hope they still stay in the same column.