# Agreement Plot In R

Dic 02

#### Agreement Plot In R

Figure 3: Diagram of the difference in the scale and otolithic age estimates compared to the average of the scale and age estimates of the Lake Champlain Whitefish otolith with a thin regression ribbon and 95% shown. Last week I posted a plot about a modified age bias. In this post, I began to look more deeply at another action called Bland-Altman-Plot. Subsequently, I describe this action, show how to build it in R, I give a lenient critique of its use to compare the estimates of switches and I develop an alternative that means correcting what I consider to be some of the flaws in the use of the Bland-Altman plot to compare age estimates. It`s great a “think hard” exercise, so I`m open to any suggestions you may have. Before that, we describe many statistical indicators, such as Cohen`s Kappa @ref (cohen-s-kappa) and the weighted Kappa @ref (Weighted Kappa), for the assessment of the agreement or the agreement between two advisors (judges, observers, clinicians) or two measurement methods. A spreading diagram is created with plot () with a yx-shaped formula. In this case, the dots are white (white collar), so the dots are not visible. It makes sense. When TRUE uses the Avarage value for new methods to fill the missing value (useful only to draw a diagram with all the measurements by the reference standard), a function that gives the filling colors for exact and partial match In situations where one of the age estimates could be considered more accurate, it seems more appropriate to place this age estimate on the x axis rather than the average value between it and the less accurate value.

In other words, go back to the concept, but not to the exact plot structure of the age bias. The gam-smooth can also be added to this diagram (Figures 5 and 6). In this example, a Bland-Altman diagram is created to compare the age estimates of consensus (between two readers) (scaleC) and otolithC (otolithC) for Lake Champlain Lake Whitefish. The Bland-Altman plot in Figure 1 was created with bland.altman.plot () from the BlandAltmanLeh package (Lehnert 2015b). Other R functions are available to create Bland-Altman plots (or the equivalent of Tukey`s average difference diagram). However, it is a simple diagram that can be easily constructed by “scratches,” as shown later. I then give a slight critique of the Bland-Altman plot for its use in age comparisons and offers an alternative (this is not a bias plot). McBride, R.S. 2015. Diagnosis of the age agreement: a simulation of precision and precision effects. CIEM Journal of Marine Science 72:2149-2167.

Draw Bland Altman plots and scatter diagrams with an identity line. The function creates a matrix of diagrams. The top panel is made up of dispersal diagrams with an identity line. The lower surface consists of the Bland-Altman plot (s) with confidence limits and distortions, using the red polka dot line and the horizontal line that crosses the origin of black. I like the fact that Bland Altman plots (compared to biased age diagrams) do not require that any of the variables be called “reference group.” This may be more useful when comparing age estimates in which a group of estimates is not clearly considered more accurate (for example. B comparison of readers with similar experience levels). A similar graph is presented in Figure 4 to compare estimates of the age of the otolith between two readers. Also note (see below) that the smoothest term for comparing age estimates of the otolith is not significant, which does not indicate any link between age differences and average age.