![sas stat transfer sas stat transfer](https://stattransfer.com/wp-content/uploads/2019/09/lisrel.png)
![sas stat transfer sas stat transfer](https://downloadly.ir/wp-content/uploads/2017/01/StatTransfer.jpg)
The general format of PROC TRANSPOSE is: PROC TRANSPOSE DATA=Dataset-name OUT=New-dataset-name In SAS, the TRANSPOSE procedure can perform simple transposes, wide-to-long, and long-to-wide restructuring of datasets.
![sas stat transfer sas stat transfer](https://stattransfer.com/wp-content/uploads/2017/08/golden-helix-1024x109.png)
#Sas stat transfer software
Statistical software packages typically require data to be in "wide" format for procedures like: You can also imagine the reverse situation where you have one line of data per observation (a wide dataset) but you want multiple lines of data with unique values of a certain variable (i.e., a long dataset). Statistical software packages typically require data to be in "long" format for procedures like: If you want to compare the patient’s weight at visit 1 to their weight at visit 2, you might want to transpose the data so that each patient has one line of data that includes both weight values (i.e., a wide dataset), like below: Patient1 A single visit record might contain information about the patient's name, the date of the visit, and the weight of the patient during that visit. That is, each row of the "appointments" dataset corresponds to visit. As patients come into the clinic, each visit is recorded in the clinic’s records. Panel (or longitudinal) data is often recorded in this "long" format.Ĭonsider a clinic where patients come in for appointments. Notice that the first row of matrix 1 becomes the first column of matrix 2.Ī "long" dataset contains more than one row per subject, and uses a unique ID to identify each subject. Transposing this matrix would turn it into a 3x2 matrix (3 rows, 2 columns): 1 4 If applied to a traditional dataset, this would make it so that there was one row per variable, and one column per subject.įor example, consider the following 2x3 matrix (2 rows, 3 columns): 1 2 3 The simplest possible case of transposing switches the rows and columns of a matrix. This is where transposing or reshaping a dataset comes in to play. Furthermore, we may need our data to be arranged in a particular format in order to use a specific analysis or procedure. However, data can be recorded or collected in many different arrangements, depending on what is convenient or cost-effective for the data collector. Ideally, datasets are structured so that each row corresponds to one unique subject or object, and each column corresponds to a single variable.