The D1212 and D1224 expansion units are designed for a wide range of workloads, 12 Gb SAS drive-side connectivity with support for 12x 3.5-inch large form

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In the following code, the explanatory variables are read into an array X. The name of each variable is stored by using the VNAME function, which returns the name of the variable that is in the i_th element of the array X. Method 2: Reshape Wide list variable dataset to Long list dataset using DATA STEP Assume dataset with 6 variables, we need to transpose last 3 columns of it to show the data in vertically. This data is global death estimates for 2010-2050 Variables: Country_code, Country, Period, Age_0_4, Age_5_14, Age_15_plus We want to integrate deaths shown in 3 different age columns into one variable and In this example, we will transpose the tallgrades dataset from long to wide format by using a DATA step. This will require the use of an array and both the This tutorial explains how to reshape data by converting multiple variables from long format to wide format. This tutorial explores 'Double Transpose' SAS “narrow” to “wide” data sets, as when transposing lab data for a listing, or from “ wide” to “narrow” data sets, as when Since all variables in a SAS data set must have names, SAS makes an attempt to provide for a large data set.

Some may find that using array processing is confusing or even intimidating. First of all, the syntax for constructing arrays, especially for multi-dimensional arrays, is complicated; there are way too many rules. Once mastering syntax rules, you still need to 2018-05-07 · data tall; keep Employee_ID Qtr Amount; array numbers {4} qtr1-qtr4; set wide; do Qtr = 1 to 4; Amount=numbers {Qtr}; if Amount ne . then output ; end ; run ; SAS log: data propertyData; array _var(*) var1-var5; do property=1 to 5; do year=2010 to 2015; do i=1 to dim(_var); _var(i)=rand('normal', 100, 5); end; output; end; end; keep property year var1-var5; run; proc transpose data=propertyData out=long; by property year; var var1-var5; run; proc transpose data=long out=wide delimiter = _; by property; id _name_ year; var col1; run; Se hela listan på stats.idre.ucla.edu During each iteration, SAS uses the name of the array and the value of I to reference a specific element or variable in each array. During the first iteration, the SAS statement uses Rev1 and Exp1 and uses them to calculate the net income and assign that value to Net_Inc1. SAS starts with this statement: net_inc[i] = revenue[i] - exp[i]; represents a wide file that we want to make even wider. As such, with PROC TRANSPOSE, we first have to use the procedure to transform the wide file into a longer file, and then use PROC TRANSPOSE, again, to transform the longer file into the ultimately desired width.

IF first.famid THEN DO; DO i = 96 to 98 ; afaminc( i ) = . ; END; END; For every first observation in an id-group the retained variables are reset. Otherwise you would keep values from one od-group to the next.

2018-05-07

PROC TRANSPOSE was designed to either make a long file wide, or a wide file long. That is, either put all of the variables on one record for each by variable, or create one record for every combination of the by variable, the id variable, any variables to be copied, and only one of the to-be-transposed var Prior to joining the SAS Irvine office in 1988, Jim was an instructor at Ventura College and a SAS programmer at The Medstat Group in Santa Barbara. Jim's areas of specialization include the DATA step, application development, web enablement, and the SAS macro language.

Personal skills • Representative of the SAS Employee/Leadership model • High drive about SAS production volumes for all stakeholders, both short and long term, The position entails a wide array of interfaces and stakeholder interaction,

For long-to-wide datasets, there is usually one variable in the VAR statement. For wide-to-long datasets, there are usually multiple variables in the VAR statement. The resulting dataset will have one row for each variable identified in the VAR statement. In this program we want SAS to remember, as it reads say record 3, that it already counted records 1 & 2 in the variable ‘ntimes’ and to remember the two scores that we loaded into the 1st & 2nd elements ofthe array.

The wide format means one-record-per- person, and the long format means multiple-record-per-person.
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The SAS program was downloaded with the files. Widetolong.SAS Data long; Set mylib.wide; Array wt{4} weight1 weight2 weight3 weight4; Do i = 1 to 4; weight = wt{i}; Output; End; • The array name itself is temporary and so is not available outside the data step.

The wide file is one record per person; the long is 4 records per person. The SAS program was downloaded with the files. Widetolong.SAS Data long; Set mylib.wide; Array wt{4} weight1 weight2 weight3 weight4; Do i = 1 to 4; weight = wt{i}; Output; End; • The array name itself is temporary and so is not available outside the data step.
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a non-indexed array. All arrays are set up and accessed only within a DATA step. The syntax for an indexed array is as follows: ARRAY arrayname {n} [$] [length] list_of_array_elements; where ARRAY is a SAS keyword that specifies that an array is being defined arrayname a valid SAS name that is not a variable name in the data set.

1. Transpose the data. In the following code, the explanatory variables are read into an array X. The name of each variable is stored by using the VNAME function, which returns the name of the variable that is in the i_th element of the array X. Method 2: Reshape Wide list variable dataset to Long list dataset using DATA STEP Assume dataset with 6 variables, we need to transpose last 3 columns of it to show the data in vertically. This data is global death estimates for 2010-2050 Variables: Country_code, Country, Period, Age_0_4, Age_5_14, Age_15_plus We want to integrate deaths shown in 3 different age columns into one variable and In this example, we will transpose the tallgrades dataset from long to wide format by using a DATA step. This will require the use of an array and both the This tutorial explains how to reshape data by converting multiple variables from long format to wide format. This tutorial explores 'Double Transpose' SAS “narrow” to “wide” data sets, as when transposing lab data for a listing, or from “ wide” to “narrow” data sets, as when Since all variables in a SAS data set must have names, SAS makes an attempt to provide for a large data set. .