creating new variable and dataset Posted 07-14-2022 09:46 AM (1216 views) Hello , This is my dataset; data Member_Data; input VISIT_DATE :date9. MEMBER_ID $ VISIT_YEAR VISIT_STATUS; format VISIT_DATE :date9.; datalines; 06NOV2013 AA10450Z 2013 0 05JUN2014 AA10450Z 2014 1 26...
SAS amateur here! I am trying to figure out how to create 2 new variables and assign values to each observation based on the data contained in a reference file. I have created a mock example below. The first dataset is the main one I need to keep. It contains data on ...
SAS XPort fileâcreates multiple tables MDD fileâcreates one table Zipped file containing one or more SAS datasets or .mdd metadata files (one dataset or .mdd file per table). You can include data files in the zipped file; either SAS datasets or, with .mdd files, ...
: *** clear* set obs 92 gen dataset=_n expand 230 bys dataset: gen smsa=_n gen crime=100+int(300*runiform()) collapse (sum) crime, /* */ by(dataset) *** which gives you an answer in -long- format (in -reshape- parlance), not wide as you seem to request... HTH Martin ...
Using a dataset as input, FLOWAN can represent various populations in a study or any other type of data in the form of a flowchart. This macro uses very few parameters like, the number of tiers (levels), the number of boxes in each level, the variables to display and the link or ...
Must it match a value given in the CDISC standards, if defined? Yes, a dataset “Description” must be the same as a Label in SAS dataset (xpt), which is limited to 40 chars. It’s a good practice to use standard SDTM domains for intended purpose. Therefore an inconsistency in ...
Data undoubtedly is a key ingredient. Of course, it can’t just be any data; it has to be therightdata. The dataset has to be relevant to the question at hand. It also has tobe timely,accurate, clean, unbiased; and perhaps most importantly, it has to be trustworthy. ...
p <- new("NN") p$add_layer("generic",4) p$add_connection_set("perceptron") p$add_layer("perceptron",3) p$create_connections_in_sets(0,0) # show the NN topology p$outline() # prepare some data based on iris dataset data_in <- as.matrix(iris[1:4]) ...
Herein, we briefly review thecontent and conversion of datasets to SAS transport file format, and then elaborate on the code that makes easy work of theaccompanying dataset documentation (in the form of datadefinition tables) using the SAS Output Delivery System (ODS).The Intended audience is ...
* You can use a random-number generator to create a name for the dataset that is very unlikely to collide with any the useris likely to have, but these names are very cryptic and the code can be tedious. None of these solutions is satisfactory. We need to create a whole new library ...