This article is mostly intended as a quick reference for myself.I cover a very limited subset of uses of various SAS statements and procedures;those which I have been using more or less repeatedly.
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Libname documentation
Proc importdocumentation.
Remark: if nothing works, an easy way out is to use the import wizard (File -> Import Data).The generated command can then be saved in a file and inspected or modified.
CSV Files
Dbf files
INSEE dataset for instance
MS Access databases
Sas dataset from directory
To import C:pathtodirTable1.sas7bdat.
For someone who has been programming, SAS macros can feel very unintuitive.They are very much the tell-tale sign that the SAS language has been designedfor statisticians, not for developpers nor computer scientists.The easiest way to think reason about them is to think about the macro systemof the C preprocessor: SAS macro are mostly working as a text replacement tool,with some quirks.
Simplest macro:
Without variables, it is as simple as it gets.
With a loop
Variables, including loop variables, can be accessed with the &var. syntax.The loop syntax is close to for-loops in the usual languages.Documentation.
With parameters
As previously, we use the &var. syntax to access the content of a variable.
Using externally defined macro variables
This is a bit more tricky. Assume you want to loop through the columns in a table.One way to do it is to define macro variables with convenient names, convenientmeaning indexable.
The data _null_ statement allow one to operate without creating a dataset which isthe default behaviour.The symput('varname', v) function assigns a value v to a variable called 'varname'.In the loop body, we then use the usual &var. syntax to access the loop variable value.However, we are not done: we need to further resolve Colname&i. to what we have definedin the data step.For this, we use the &&var1&var2. syntax, meaning 'first resolve var2 to its value, thenresolve the resulting expression.The process as I figure it out in my mind is the follwing:&&Colname&i. -> &&Colname1 -> &Colname1. -> 'ID'.
The sgplot procedure is fairly easy to use and flexible enough for most purposes.The only catch which has turned up to be utterly annoying is how the order of categoricalvariables is handled. I could not get it right even when sorting the data.The axescommand documentation is very useful.
Series for plotting lines
A simple example for theseriescommand.
Backup text for viber for mac. A more complex example with groups, formats, custom colors and a legend.
Band for range of values
This one is very handy for plotting min - max values.
Vbar for vertical barplots.
Most of the options forvbarare valid forhbar. Pool game for mac.
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Grouping data:
Density to visualize 1-D distributions
Sgplot'sdensityis very simple to use.
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A useful alternative is proc univariate'shistogram statement.
Plotting maps is a bit more involved so I wrote a dedicated article:Plotting maps in SAS.
Proc formatcan be helpful in various cases beyond the obvious usage. Here are some samples.
Defining intervals for numerical values
Getting a summary about missing values
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Writing the results of a query in a macro variable.
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Datalines statement for making dummy datasets