After a bit of a delay, the JMP Blog has moved over to the JMP User Community. Stop by and check it out! We missed you these past few weeks, but we look forward to sharing lots of posts -- starting with today's post by data visualization expert and R&D
Dear readers, The JMP Blog is moving to the JMP User Community soon! When will this happen? By the end of November at the latest, the JMP Blog will make its debut in its new home with a new look. Why is it moving? When you visit the JMP User
Customers often ask me how to use fixed/baseline control limits. This type of limit is sometimes referred to as historical control limit. Instead of allowing the software to calculate limits based on the data, sometimes you want to use fixed control limits. These fixed control limits are typically created from
In a recent blog post, I discussed control limits and specification limits, where they come from and what they are. This post goes into more detail about specification limits. We will use Process Capability in JMP to generate a capability analysis. We will then use this analysis to make decisions
As a developer, I try to make sure all the most-used features of JMP are where you can find them easily. That’s why the options to change the statistics shown in the crosstab are at the top of Categorical’s red triangle menu. That’s why the new “Redo” and “Save Script”
Galit Shmueli, National Tsing Hua University’s Distinguished Professor of Service Science, will be visiting the SAS campus this month for an interview for an Analytically Speaking webcast. Her research interests span a number of interesting topics, most notably her acclaimed research, To Explain or Predict, as well as noteworthy research
JMP supports many date/time formats, but some less conventional (or downright esoteric) formats still crop up from time to time. To many users, converting an oddly formatted date/time from string to numeric form is a frustrating endeavor, requiring custom formulas and an assortment of seldom-used string and numeric operations. With
Business and production systems have become much more capable at collecting data. Equipment collects a variety of sensor and parametric data, and today all kinds of information on buying habits and consumer preferences is available. This level of detail cannot be analyzed and comprehended with static, conventional reporting. Instead, business
Ronald Snee and Roger Hoerl have written a book called Strategies for Formulations Development. It is intended to help scientists and engineers be successful in creating formulations quickly and efficiently. The following tip is from this new book, which focuses on providing the essential information needed to successfully conduct formulation studies in the
When designing an experiment, a common diagnostic is the statistical power of effects. Bradley Jones has written a number of blog posts on this very topic. In essence, what is the probability that we can detect non-negligible effects given a specified model? Of course, there are a set of assumptions/specifications