For more information, see indatabase processing for 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. This paper will provide a non technical approach to understanding the transpose procedure by showing the programmer how to visualize the expected output. You may need to transpose your data set in order to merge it with another data set, to feed into a sasstat procedure, or to simply create a betterlooking report. Taming the proc transpose sas proceedings and more. The transpose procedure can often eliminate the need to write a lengthy data step to achieve the same result. Below is an example of using sas proc transpose to reshape the data from a long to a wide format. Is converted to sasfriendly variable name if necessary. Instead, for each by group, proc transpose creates one observation for each variable that it transposes. How to reshape data long to wide using proc transpose. A novel approach using hash objects continued any position within a new horizontal table formation.
It contains three sample sas input files, a set of basic proc transpose variations, and their output results. Out puts the result of the transposition in the idlabel data set. Sas transpose without using proc transpose stack overflow. For example, consider the following 2x3 matrix 2 rows, 3 columns.
How to keep multiple formats in one variable after transpose mindy wang abstract in clinical trials and many other research fields, proc transpose are used very often. How to keep multiple formats in one variable after transpose. There is a summary sheet at the end of the paper as well for later reference. A transposed variable is a variable the procedure creates by transposing the values of an observation in the input data set into values of a variable in the output data set.
Create a data file suitable for charting or reporting. When you use a numeric variable as an id variable, proc transpose changes the formatted id value into a valid sas name. Transposing statistics from proc means posted 07102017 2390 views after running my codes sas ods generate very nice output which looks like this. Instead, we can write a data step transpose that can achieve the desired result in a single pass through the data. Shoes is the original input dataset specified using data and work.
In sas, i have a data set similar to the one below. In the example below i have converted the blanks to none so that it will run. Var transpose column it lists the actual data that needs to be transposed. The ability to effectively transpose a data set is very important when working with different data structures and different data standards. Type is the by variable, and sold, notsold, repaired, and junked are the variables to transpose. 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. The simplest possible case of transposing switches the rows and columns of a matrix. Having said all this, why would you want to reinvent the wheel when you already have the sas provided ready made transpose function. Learn the basics of proc transpose douglas zirbel, wells fargo and co. When i transpose this dataset it creates a dataset with 2. Proc transpose is a powerful yet underutilized proc in the base sas toolset. This paper presents an easy beforeandafter approach to learning proc transpose.
If the value of any id variable is missing, then proc transpose writes a warning message to the log. You can use the attrib, format, label, and where statements. Post this you can read it in to an array and using the macro variables as the dimensions output the values in to the new dataset. Several calls to proc transpose would be required to create this data set, which might take a considerable amount of processing time for a large data set. This procedure transforms the data from rows to columns or from columns to rows. Transposition with by groups shows what happens when you transpose a data set with by groups.
The output data set contains the following variables. For example, if prefixvar, then the names of the variables are var1. Thus, when the first character of the formatted value is numeric, the procedure prefixes an underscore to the value, truncating the last character of an 32character value. Transposing this matrix would turn it into a 3x2 matrix 3 rows, 2. Proc transpose for multiple values kanhaiya gupta, tcs, fond du lac, wisconsin abstract proc transpose can be used to rotate transpose sas data sets. The transpose procedure always produces an output data set, regardless of whether you specify the out option in the proc transpose statement. To create transposed variable, the procedure transposes the values of an observation in the input data set into values of a variable in the output data set.
The transpose procedure 4 by statement 1273 default. Obs centre subjectno gender visit sbp wt 1 1 1 female a 121. For a data set in wide format such as the one below, we can reshape it into long format using proc transpose. If outputdataset does not exist, then proc transpose creates it by using the data n naming convention. Data transposition with proc report midwest sas users. Proc transpose transposes the observation that contains the last occurrence of a particular id value within the data set or by group. The transpose procedure creates an output data set by restructuring the values in a sas data set, transposing selected variables into observations. If applied to a traditional dataset, this would make it so that there was one row per variable, and one column per subject. Overview to transpose your data turning variables into observations or turning observations into variables, you can use either proc transpose or array processing within a data step. 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. You could also add a step before he last transpose to generate the column name yourself and then just use that one variable is the id value on the last proc 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. Proc transpose is a powerful data manipulation tool in base sas. Hello, i was wondering when doing a proc transpose, i want to keep one variable just as it was. If outputdataset does not exist, proc transpose creates it using the datan naming convention. I am trying to take transpose of above sas file, to construct a sas file similar ods output table. If youwant to transpose a character variable, a var statement is required. Many programmers resort to use of the data step to achieve transposition which they believe results. If you do not include a var statement, the procedure will transpose all numeric variables that are not included in a by statement or a id statement. The unique keys make sure the right data element goes to the right place in the new wide table. That is to say, it permits one to switch sas variables with logical record keys.
For a list, see dictionary of sas global statements in sas global statements. Transpose using array posted 07072014 734 views in reply to tom hi tom above code works fine except we need one addition, as you have created score variable, i think if statement should include score as score is also transposed, which results in extra observations. Additionally, hash tables automatically select the unique variables as row. This must happen before the actual transpose method. Copies variables directly from the input data set to the output data set without transposing them. How to reshape data wide to long using proc transpose. Transposing data without proc transpose christopher j. Sas programmers are often faced with the task of transposing data sets. United states steel corporation rows of the original data matrix become columns, and columns become rows.
First, lets see what happens when you use proc transpose on sashelp. Usually, convert tall files into wide files example. Bost, mdrc, new york, ny abstract this paper describes how to use one, two, and threedimensional arrays to transpose data in the data step. However, sas variable names cannot begin with a number. To see the effect of the idlabel statement, print the output data set with the print procedure by using the label option. Visualizing proc transpose sas proceedings and more. To print the output data set from the proc transpose step, use proc print, proc report, or another sas reporting tool. Q1 q2 q3 q4 a 1 2 3 4 b 1 2 3 4 c 1 2 3 d 1 2 e 1 2 3 4 i have data like above and would like to import and reshape the data into what it looks like. Using it, one can switch the significance of row and column identifiers, either globally or selectively within bygroups. Example 2 on page 1280 out outputdataset names the output data set. 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. Related groups of variables can be arranged in different dimensions of a multidimensional array to change the structure of a data set. A concrete example of the start data and the transpose used would help.
Use proc print, proc report or some other sas reporting tool to print the output data set. Further, the output data set can be used in subsequent data. When many variables with their individual formats are transposed into one variable, we lose the formats. Proc transpose contd proc transpose needs prior sorting but will create the necessary number of columns to accommodate all records being transposed proc transpose cannot transpose several variables into one row, instead they have to be transposed one by one 16. You can write a data step to do this, but the useful transpose procedure can do the job in a fraction of the code. Proc transpose transposes only the numeric variables, test1, test2, and final, because no var statement appears. Suppose you have obtained the data presented below from a multicenter study, where each patient is identified by the means of the two variables centre and subjectno. This is something that proc transpose simply cant handle in a single step. Report, which sas users can use to transpose data, in some circumstances, more efficiently than the other two methods. For more information, see statements with the same function in multiple procedures. 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.