Sas order variables in dataset
[DOC File]Structural Equation Modeling - Purdue University
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You should know how to obtain a correlation matrix or covariance matrix using PROC CORR in SAS, or use other menu tools from a statistical package of your choice, to specify that a correlation or covariance matrix be calculated. The covariance matrix in practice serves as your dataset to be analyzed.
[DOC File]Preliminary Guidelines for SAS Code Development
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Use SAS labels to provide more extensive information about variable content than is provided by variable name. Produce external or internal documentation that specifies for each SAS code: Required inputs. Outputs and type of output (i.e., work or permanent SAS dataset, ASCII file, etc.) Order in which a set of code files must be executed
[DOC File]Working With SAS Formats Catalogs
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Aug 17, 2006 · The use of formats may affect the order in which variables are processed for some procedures. This can be important when using class variables in such procedures as Proc GLM, Proc Mixed and Proc Genmod, or in the tables statement of Proc Freq. Some procedures use the numeric order of the values by default, while others use the alphabetic order ...
[DOCX File]USING PROC_CODEBOOK.SAS - SAS Support Communities
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Apr 27, 2010 · Create a simple two variable file called work.order before you call the macro. The first variable is NAME, a 32 character field with your variable name in UPPER CASE. The second variable is ORDER, a numeric field with the order you want the variables to print. An example data step creating a work.order data set is shown below.
[DOC File]PH7200 June 2005
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The variables in order are the patient ID, clinical center, age, sex, diastolic BP at baseline, 6-months, and 12-months (3 variables), and systolic BP at baseline, 6-months, and 12-months (3 variables). Write a SAS program that reads the data from bp.txt and creates a SAS dataset called bp1 Name the variables . ptid, clinic, age, sex, dbpbl, dbp6,
[DOC File]A System of SAS Macros for Producing Statistical Reports
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DATA is the SAS dataset to be read; OUT is the SAS dataset statistics are written to and contains one observation, and SFIRST indicates the order in which the statistics are stored. Example: %BREAKDN (class = sex 2T, var = age dbp sbp chol, out = table1, sfirst=VAR) The n's for the 4 variables where sex = 1 are stored in n1-n4.
[DOC File]SAS Macros are the Cure for Quality Control Pains
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(data = _SAS_dataset_name_, out = _SAS_output_dataset_name. var = _variable_to_screen . pass = _number_of_passes. except = _exception_report_data_set_, mult = _multiplier_of_standard_deviations_) The %OUTLIER macro completes outlier screens based on statistical values of a numeric variable in a SAS data set.
[DOC File]Procrustes distance
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There is also an option to output a SAS dataset containing all of the permuted Procrustes distance. Potential sources of error: Extraneous numeric or character variables left in the dataset when IML begins. Additional numeric variables will usually result in Procrustes distances being too large.
[DOC File]SF-36 Scoring and SAS Program Generator
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If you use different SAS names, you will have to create a. file that reflects these differences (see sf36.ex, Table 5, for an example of a. different input file). Note that you should not use the variable names I1 through I36 for variables other than the SF-36 items or SAS will not be able to distinguish the SF-36 items from these other variables.
[DOC File]Introduction to SAS
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The procedures tell SAS what to do with the dataset you created in the data step. Often, the first two procedures you will run will be proc contents and proc means: proc contents; proc means; Proc contents causes SAS to print a summary of what variables are in your dataset. The output from this procedure appears on page 8.
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