Errors messages are posted in red font and warnings in green font. If there was a problem with the code, Errors and/or Warnings would be seen in the log.
The following lines are added when the program editor is run. The first 4 lines of the log are produced when SAS is first opened. To view the log window, select the log tab from the bottom toolbar.
Mht editor windows#
Note that the new log information and output are appended to the bottom of the Log window and Output or Results Viewer windows respectively. Once the program has been run, a log of commands will appear in the Log window and, as long as there are no errors in the programming code, the output will appear in either the Output window and/or in a new window named Results Viewer. You can also run just part of a program by selecting the part that you want to run and then using the Submit command from the Run menu or by clicking on the "Run" icon SAS Windows Or click the "Run" button of the "little person running" located on the toolbar at the top of the screen. Select the Submit option from the Run menu, To execute (run) the program first make sure the Editor is active by clicking on the Editor window, and then either Note that the program has not yet been executed! By far the most common errors in SAS programming are forgotten or misplaced semi-colons. Note that each statement in SAS must end with a ' ' (semi-colon). Line 17: indicates the end of the means procedure.
Line 16: tells SAS to run the means procedure on the variable age. Line 15: tells SAS to use the means procedure on the data set named one. Line 13: indicates the end of the data step. Line 12: the semi-colon indicates to SAS that there are no further data set observations. Lines 6-11: provide 6 observations of age and gender in this data set SAS expects to see data until the next semi-colon, which is on line 12 in this programming code.
Mht editor code#
Instead of cards the code datalines may also be used to tell SAS to expect data on the next several lines. Line 5: indicates to SAS that data will follow. Line 4: creates two variables named age and gender. In this class, we will often require title statements for assignments. Title statements are optional, but they help provide information about the program and are a useful addition to most analyses. Line 1: defines a title that will appear on each page of output. We will begin by typing the following commands into the Program Editor: The name of the procedure is often suggestive of the scope of that procedure. Performing statistical tests (PROC TTEST, PROC FREQ, PROC UNIVARIATE, PROC NPAR1WAY, PROC CORR, PROC ANOVA, PROC REG, PROC GLM, PROC LOGISTIC).Plotting the data (PROC GPLOT, PROC GCHART).Summarizing data (PROC MEANS, PROC UNIVARIATE, PROC FREQ, PROC TABULATE, PROC PRINT).Once a data set has been created, commands or procedures can operate on these data sets. In subsequent classes we will discuss reading in data sets from external files. We will review these concepts more in a bit.Īll data used by SAS is stored in a data set.Ī data set is a matrix (or box) that contains a column for every variable and a line for each observation (e.g., subject).ĭata sets can be entered in the SAS programming code or can be read in from a variety of external sources, such as text files, and Microsoft Excel. A SAS data step is primarily used to create and modify data sets, and a SAS procedure is primarily used to analyze data. Aspose.Words Product Solution Aspose.PDF Product Solution Aspose.Cells Product Solution Aspose.Email Product Solution Aspose.Slides Product Solution Aspose.Imaging Product Solution Aspose.BarCode Product Solution Aspose.Diagram Product Solution Aspose.Tasks Product Solution Aspose.OCR Product Solution Aspose.Note Product Solution Aspose.CAD Product Solution Aspose.3D Product Solution Aspose.HTML Product Solution Aspose.GIS Product Solution Aspose.ZIP Product Solution Aspose.Page Product Solution Aspose.PSD Product Solution Aspose.OMR Product Solution Aspose.SVG Product Solution Aspose.Finance Product Solution Aspose.Font Product Solution Aspose.TeX Product Solution Aspose.PUB Product Solution Aspose.Drawing Product Solution Aspose.Audio Product Solution Aspose.Video Product Solution Aspose.We will now consider a simple program, which creates a SAS data set using a SAS data step ( DATA) and calculates simple descriptive statistics (sample size, mean, and standard deviation) using a SAS procedure ( PROC).