Using reshape2 for transposing datasets in r decision stats. Its a very powerful procedure when you need to change the shape of the data. Preparing and reshaping data is the ever continuing task of a data analyst. My proc transpose is not turning out the way i need it to.
Transpose payment verification and identity authentication. Structuring the data for a merge university of maryland. Naming transposed variables when the id variable has duplicate values. I did a groupby in a proc sql to get the data in a table that i needed but i am not getting my proc transpose to look right. Sas tutorials transposing data using proc transpose search this guide search. Built for developers verifications can be initiated through the transpose dashboard, triggered based on ecommerce rules or.
If youd like to download the sample dataset to work through the examples, choose one of the files below. Sas principal technical support analyst grace whiteis is a technical support analyst in the foundation sas group. You cannot use proc transpose with an id statement or a by statement with an engine that supports concurrent access if another user is updating the data set at the same time. Proc transpose provides the ability to go from a long dataset where there are multiple rows for a given subject to a wide dataset where there are multiple columns for a subject. In the output data set, each observation now represents the scores from one tester. The transpose procedure creates an output data set by restructuring the values in a sas data set, transposing selected variables into observations. Sas variable names cannot begin with a number unless you have set validvarnameany. Transposing multiple variables in a sas data set within a single macro call.
There is a summary sheet at the end of the paper as well for later reference. So lets transpose the data, and make the months become values, rather than variables. Data transposition with proc report lingqun liu the university of michigan, ann arbor abstract transposition is a very common data manipulation task. For a data set in wide format such as the one below, we can reshape it into long format using proc transpose. Data step and proc transpose are the two most common methods. Simplifying effective data transformation via proc transpose arthur x. You could plot 12 overlapping lines against year, but we really want them all together as 1 long timeseries line. Proc transpose is a powerful yet underutilized proc in the base sas toolset. Li, city of hope comprehensive cancer center, duarte, ca. Taming the proc transpose matt taylor, carolina analytical consulting, llc abstract the proc transpose is often misunderstood and seldom used. The procedure pads the output data set with missing values if the number of observations in the input data set and the number of variables it transposes are. Most of the time, youll need to make modifications to your variables before you can analyze your data. Creates an output data set by restructuring the values in a sas data set, transposing selected variables into observations. Youve now got the data in a sas data set, but each month is in a separate column or variable.
For example, you have data in vertical long format and you are asked to change it to horizontal wide format. The transpose procedure transposes selected variables into observations. In sas, the transpose procedure can perform simple transposes, wide. Instead, for each by group, proc transpose creates one observation for each variable that it transposes.
In the input data set, each variable represents the scores from one tester. Introduction proc transpose is a flexible procedure that allows you to transpose one or more variables of all the. Data transposition with proc report midwest sas users group. The label option designates a sas variable character to hold the sas labels of the. With sas, data transposition can be carried out in more than one way. How to reshape data long to wide using proc transpose sas. Note problem statementthis is quite similar to using proc transpose using values in sas. How to convert pdf to word without software duration.
Besides these two, this paper also introduces a third way, proc. You can find multiple examples in the sashelp library to help illustrate what a long dataset looks like. Paper 0602009 learn the basics of proc transpose douglas zirbel, wells fargo and co. It contains three sample sas input files, a set of basic proc transpose variations, and their output results. The first transpose is similar to previous examples. Simplifying effective data transformation via proc. A transpose samples lookup table, a syntax summary, and the full sample sas code are located in. How to turn rows into columns in sas university edition. Transpose also analyzes dozens of data points to verify your customer is the real, legitimate owner of the payment method used in the transaction. How to transpose a sas data set by using arrays and proc transpose. If you do not use the notsorted option in the by statement, the observations must be either sorted by all the variables that you specify, or they must be indexed appropriately. Because the copy statement copies variables directly to the output data set, the number of observations in the output data set is equal to the number of observations in the input data set.
How to reshape data wide to long using proc transpose. Proc transpose vs arrays vs proc summary mike zdeb, university at albany school of public health, rensselaer, ny abstract when data for the same entity person, place, thing are stored across multiple observations, it is a common task to place all the data for a given entity into a single observation. A natural label for a report year is the year value itself, and hence the choice. Transposing one group of variables for a data set in wide format such as the one below, we can reshape it into long format using proc transpose. This sas software tutorial shows how to use proc transpose to transpose a datasets rows and columns, and discusses when to use a transpose. Sometimes you need to reshape your data which is in a long format shown below famid year faminc 1 96 40000 1 97 40500 1 98 4 2 96 45000 2 97 45400 2 98 45800 3 96 75000 3 97 76000 3 98 77000.
The following example illustrates a simple transposition. We are transposing the count variable with popflag as the title of each column, and transposing it by state. Base sas, macros, routines, functions, sas data integration studio, sas in mainframes, sas webreport studio, sas enterprise guide, proc compare sas statistical analysis system search web. These types of modifications can include changing a variables type from numeric to string or vice versa, merging the categories of a nominal or ordinal variable, dichotomizing a continuous variable at a cut point, or computing a new summary variable from existing variables. She also provides support for macro, data step and base procedures, with an emphasis on hash, arrays and merge. If however two or more variables need to be transposed, you need to transpose each variable separately and then merge the transposed data sets, which can be time consuming. Neither data set is currently structured correctly for the merge. Proc transpose variations, and their output results. When i transpose this dataset it creates a dataset with 2. This paper presents an easy beforeandafter approach to learning proc transpose. Title op transpose conjugate transpose operator descriptionsyntaxremarks and examplesconformability diagnosticsalso see description a0 returns thetransposeof a or, if a is complex, the conjugate transpose. From the first output of proc print, we see that the data now is in long format except that we dont have a numeric variable indicating year. This tutorial explains the basic and intermediate applications of proc transpose with examples.
A concrete example of the start data and the transpose used would help. Proc transpose for multiple values kanhaiya gupta, tcs, fond du lac, wisconsin abstract proc transpose can be used to rotate transpose sas data sets. For simplicitys sake, ive restricted this code to just 9 dxa variables. It contains three sample sas input files, a set of basic. The default tool in r would be reshape, although this is so user friendly that a reshape package has been added too. Below is an example of using sas proc transpose to reshape the data from a long to a wide format. This macro runs all 50 ttests and customizes what sas prints to the results output, so all i have to do is copy and paste the output into my empty table shell. For example, if you are transposing from a to c, use the a row row 1 to identify the chord, and then go down to the c row row 4 to find the transposed chord. The above code creates a data set called outdata which contains values of variable marks stored in horizontal wide format.