JMP® Genomics is a statistical discovery software package for researchers that enables statistical geneticists, biologists, bioinformatics experts, and statisticians to uncover meaningful patterns in high-throughput genetics, expression microarray, and proteomics data. It links advanced statistics and graphics, creates reports from CDISC data, and helps reviewers migrate into the modern review environment. JMP® Clinical shortens the drug development process by streamlining safety reviews during clinical trials. JMP® Pro is the advanced analytics version of JMP, providing all the tools for visual data access and manipulation, interactivity, comprehensive analyses, and extensibility found in JMP. Clinical Trials: SAS versus JMP Clinical Posted 04-04-2019 06:19 PM (683 views) I am trying to get a big picture understanding of JMP Clinical and SAS clinical trials products with respect to the various phases of getting a drug or medical device FDA approved (Pre-clinical trials, clinical trials, submitting clinical data needs for approval before bringing the drug to market, etc). JMP® Live helps you share JMP analyses in an online space designed for interactive collaboration in your organization. Not sure if JMP, or SAS Visual Analytics is the better choice for your needs No problem Check Capterra’s comparison, take a look at features, product details, pricing, and read verified user reviews.

It helps you see and explore data, spot relationships and trends, and dig into areas of interest. I jittered the repeated values of the conc variable +1 and -1 seemed.

You can add lines to connect the points by selecting 'Needle' under 'Y Options'. Use an overlay plot to plot the mean, upper and lower bar values as Ys and conc as the X. Designed for dynamic data visualization and analytics on the desktop, JMP enables data access and processing statistical analysis design of experiments multivariate analysis quality and reliability analysis scripting graphing and charting. Then, using those columns, create new columns for upper bar (mean + se) and lower bar values (mean - se).

Sas vs sas jmp