If you declare a multi-dimensional array without specifying a list of variables (or the _temporary_ keyword), SAS will create variables with the array name followed
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You may also want to restructure SAS data sets for certain statistical analyses Creating a single observation from multiple observations may make it easier for you
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attendees will get a chance to try their skills at solving an array of challenges I have a sales dataset that has all its values in US Dollars There is a French
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the output dataset unless you specifically change them during processing We' ve looked at how to assign arrays, but how do we tell SAS to look up the array
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If you declare a multi-dimensional array without specifying a list of variables (or the _temporary_ keyword), SAS will create variables with the array name followed
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Arrays
from AtoZPhil Spector
Statistical Computing Facility
Department of Statistics
University of California, Berkeley
http://www.stat.berkeley.edu/~spector 1What is a SAS Array?
An array in SAS provides a means for repetitively processing variables using a do-loop. Arrays are merely a convenient way of grouping variables, and do not persist beyond the data step in which they are used. SAS arrays can be used for simple repetitive tasks, reshaping data sets, and \remembering" values from observation-to-observation. Arrays can be used to allow some traditional matrix-style programming techniques to be used in the data step. 2Array Statement: Syntax
ARRAYnameExamples:
array x x1-x3; array check{5} _temporary_; array miss{4} _temporary_ (9 9 99 9); array dept $ dept1-dept4 ('Sales','Research','Training'); array value{3}; * generates value1, value2 and value3; All variables in an array must have the same type (numeric or character). An array name can't have the same name as a variable. You must explicitly state the number of elements when using _temporary_; in other cases SAS gures it out from context, generating new variables if necessary. 3Advanced Features of Arrays
You can specify the range of subscripts in an array with the notationstart:finish. For example, the declaration: array income{1997:2000} in1 - in4; would allow you to refer toincome{1997},income{1998},etc. The functionslboundandhboundwill return the lowest and highest indices dened for an array. Array names can be used inRETAINstatements, and, when used with the subscript{*}inPUTorINPUTstatements; If an array name coincides with the name of a SAS function, the array will override the function for the duration of the data step. When an array is declared using_temporary_, values of the elements of the array are not set to missing at the beginning of each observation. 4Past and Future
When arrays were rst introduced, they were designed to be used implicitly. The array name itself (unsubscripted) represented the variable dened in the array statement and thedo over;group allowed repetitive processing. When it was necessary to access elements by position, a counter variable could be specied, or the system variable_i_was used. While this form of array is supported for legacy applications, it should be avoided for new work, and explicit subscripting should always be used. Version 7 of the SAS system will allow using an array name in a variable list to represent all the elements of the array, as well as more flexible syntax for initializing the array. 5A Simple Example
Suppose we have a data set with 10 variables, named x1,x2,:::,x10. Whenever any of these variables has a value of 9, we wish to replace it with a missing value (.). data new; set old; array x x1-x10; do i=1 to dim(x); if x{i} = 9 then x{i} = .; end; run; Usingdim(x)instead of a constant (10) eliminates the need to know the size of the array. Special variable lists (likefirst -- lastorx:)canbevery useful when setting up an array. 6Using Parallel Arrays
In the previous example, suppose missing values had been coded as9 for variablesx1-x5, and as 99 for the remaining variables.
data new; set old; array x x1-x10; array mval _temporary_ (9 9 9 9 9 99 99 99 99 99); do i=1 to dim(x); if x{i} = mval{i} then x{i} = .; end; run; If you don't use_temporary__, you usually need to include a dropstatement. There's no limit to the number of parallel arrays you can create. 7Another Example of thearrayStatement
The array statement is especially useful when you need to make logical decisions about a set of variables, since these things can't be done with either summary procedures or data set functions. Consider a data set with variablesclass1throughclass5, containing the number of classes taken in each year of college, and we want to nd how many years it takes each student to complete10 courses:
array class class1-class5; total = 0; do i = 1 to 5 until(total >= 10); total = total + class{i}; end; year = i; if total lt 10 then year = .; 8Reshaping Data Sets: I. One to Many
Some SAS procedures require all observations for an experimental unit to be included in a single observation in the data set; others require that each individual observation is a separate observation in the data set. Thus, it is often useful to convert between the two cases. Consider a data set with 4 variables (x1-x4) stored as follows:ID X1 X2 X3 X4
117192224
218143316
319283142
The goal is to create four observations for each original observation, one for each variable. 9Reshaping Data Sets: Example 1
The strategy is to store the four observations in an array, and loop over the array, creating a new observation each time. Adropor keepstatement is essential for programs like this. data new; set old; array xx x1-x4; do time=1 to 4; x = xx{time}; output; end; drop x1-x4; 10AReviewoftheretainStatement
By default SAS initializes all the variables in a data set to missing each time it processes a new observations. To \remember" data from other observations, variables may need to be declared using theretainstatement. If initial values are specied for any variables in an array, then all the variables in the array are automatically retained. (Note that you may still have to reinitialize the variables when you are using by-groups). Since arrays declared as_temporary_do not contain variables, they do not get reset to missing at the beginning of each observation. 11Reshaping Data Sets II - One to Many
To create a data set where many observations are combined into a single observation, we create an array to hold the individual variables, and then output them after the last observation for each experimental unit. The basic transformation can be represented as follows:Subj Time X
11101212
Subj X1 X2Xn
1n8=)110128
2119 219721
2272n21 12