Practical Data Analysis with JMP®

Row States

Our data table consists of 200 cells: two variables with 100 observations each, arrayed in two columns and 100 rows. One guiding principle in statistical analysis is that we generally want to make maximum use of our data. We don't casually discard or omit any portion of the data we've collected (often at substantial effort or expense). There are times, however, that we might want to focus attention on a portion of the data table or examine the impact of a small number of extraordinary observations.

By default, when we analyze one or more variables using JMP, every observation is included in the resulting graphs and computations. You can use row states to confine the analysis to particular observations or to highlight certain observations ...