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.
. FOR EACH STATEMENT CREATE TRIGGER beforeinsertperson BEFORE INSERT ON person FOR EACH ROW EXECUTE storedprocedure; Create a trigger invoked before a new row is inserted into the person table COUNT returns the number of elements of a list SUM returns the total of a list MAX returns the maximum value in a list MIN returns the minimum value. The SQL cheat sheet provides you with the most commonly used SQL statements for your reference. You can download the SQL cheat sheet as follows: Download 3-page SQL cheat sheet in PDF format Querying data from a table. The syntax for the CAS statement that starts the session is very straightforward, as you can see here: cas session-name; There are currently 28 options that you can use in the CAS statement. For a complete list of options, see the. SAS ® 9.4 and SAS Viya ®.
Variables mixins darken adjust-color @for @each @while @if @else $list: (a b c) $map: (a: b, c: d) One-page guide to Sass.
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.
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.
Grouping data:
Density to visualize 1-D distributions
Sgplot'sdensityis very simple to use.
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
Writing the results of a query in a macro variable.
Datalines statement for making dummy datasets
The SQL cheat sheet provides you with the most commonly used SQL statements for your reference. You can download the SQL cheat sheet as follows:
Querying data from a table
Query data in columns c1, c2 from a table
Query all rows and columns from a table
Query data and filter rows with a condition
Query distinct rows from a table
Sort the result set in ascending or descending order
Skip offset of rows and return the next n rows
Group rows using an aggregate function
Filter groups using HAVING clause
Querying from multiple tables
Inner join t1 and t2
Left join t1 and t1
Right join t1 and t2
Sas Syntax Cheat Sheet
Perform full outer join
Produce a Cartesian product of rows in tables
Another way to perform cross join
Join t1 to itself using INNER JOIN clause
Using SQL Operators
Combine rows from two queries
Return the intersection of two queries
Subtract a result set from another result set
Query rows using pattern matching %, _
Query rows in a list
Query rows between two values
Check if values in a table is NULL or not
Managing tables
Create a new table with three columns
Delete the table from the database
Add a new column to the table
Drop column c from the table
Add a constraint
Drop a constraint
Marquardt beauty mask. Rename a table from t1 to t2
Rename column c1 to c2
Remove all data in a table
Using SQL constraints
Set c1 and c2 as a primary key
Set c2 column as a foreign key
Make the values in c1 and c2 unique
Ensure c1 > 0 and values in c1 >= c2
Set values in c2 column not NULL
Modifying Data
Insert one row into a table
Insert multiple rows into a table
Insert rows from t2 into t1
Update new value in the column c1 for all rows
Update values in the column c1, c2 that match the condition
Sas Syntax Cheat Sheet Pdf
Delete all data in a table
Sas Syntax Cheat Sheet Answer
Delete subset of rows in a table
Managing Views
Create a new view that consists of c1 and c2
Create a new view with check option
Create a recursive view
Create a temporary view
Delete a view
Sas Graphs Cheat Sheet
Managing indexes
Create an index on c1 and c2 of the t table
Create a unique index on c3, c4 of the t table
Drop an index
Managing triggers
Create or modify a trigger
WHEN
- BEFORE – invoke before the event occurs
- AFTER – invoke after the event occurs
EVENT
- INSERT – invoke for INSERT
- UPDATE – invoke for UPDATE
- DELETE – invoke for DELETE
TRIGGER_TYPE
Sas Operators Cheat Sheet
- FOR EACH ROW
- FOR EACH STATEMENT
Delete a specific trigger