The box plot is used to demonstrate the data distribution in common and to look for outliers. We can also see where the 25% and 75% quarters are, as well as the median value from the box. As a result, it's a very helpful visual chart.
Recently, I'm a little confused how to create or save PNG graphs in SAS. Normally, we would have been to create RTF or PDF instead but there was sometimes a specific requestment to save as PNG directly. So we need to know how to complete it in SAS when I have a graph generated by SGPLOT or GTL procedure.
This article aims to learn the basic calculation process of least-squares means (LS means).
This article is to illustate how to conduct an (Analysis of Covariance) ANCOVA model to determine whether or not the change from baseline glucose is affected by treatment significantly. In other words, using ANCOVA to compare the adjusted means of two or more independent groups while acounting for one or more covariates.
As a new SAS user, a common question that is always asked and searched on google is: how can I get the statistic into a table?
This post is just a note referred from one article as shown below that I think would be beneficial for anyone who is as new as I am, as this requirement is fairly common in pharamaceutical programming.
If you'd like to add one blank row in your report, as shown below:
Here is to present a set of SDTM and ADaM datasets from CDISC pilot projects as resources for R develpment and programming.
In this article, we are going to present how to work with files and folders in R and SAS.
The Bland-Altman analysis is the most common method of assessing the agreement in method comparison in IVD CT or CE trials.
This post is to talk about how to compare two paired areas under ROC curves(AUC) for diagnostic accuracy by non-inferiority test.
If you often work with data manipulation, obviously you need to know how to merge and transpose data as that is very common in our data processing.
Selecting N rows from a dataset or K-th element from a macro variable is a common data manipulation process. This post is listing the ways how to resolve these questions.
Handling the duplicates and missing values in data manipulation is a very common process. This post is taking a few examples to list how to accomplish it from a datasets in SAS.
This post is talking about how to display descriptive statistics for variables quickly. In the sense that we would like to know an usual and agile way to accomplish it in SAS.
Sometimes we would want to list column names of a SAS dataset, which can be useful in other programs, such as
Standing up a flag here, I'm planning to keep a series of notes to minute my questions met in sas learning. Practice is the best teacher, practice makes perfect!