The phrase "accommodate analysis" is correct and usable in written English.
It can be used when discussing the ability to adjust or make provisions for a particular type of analysis in a given context.
Example: "The new software is designed to accommodate analysis of large data sets efficiently."
Alternatives: "facilitate analysis" or "support analysis".
Recent developments have extended the approach to accommodate analysis of displays in which single-target conditions include a distractor in place of the empty space (Little, Eidels, Fific, & Wang, 2015).
Apart from the preliminary aim of examining the differences in the deployment of language resources for expressing attitudinal meaning in the English and Vietnamese discussions, the study also tested whether the adapted Attitude system was sufficiently robust to investigate evaluative meanings in this context or whether further refinement was needed to accommodate analysis of the data.
Ideally such studies would accommodate analysis by career duration, position played, and concussion history.
To accommodate analysis of early seed stages, extraction and reconstitution volumes were proportional to sample weight.
Data envelopment analysis has proved popular among academics because it can accommodate analysis of multiple outputs and inputs.
A number of algorithms have been developed to accommodate analysis of massive amounts of RNA-Seq data.
By incorporating a shear correction factor, the formulation also accommodates analysis of shells that have higher thickness.
To accommodate joint analysis of male and female mapping parents, the data set was duplicated prior to analysis, with the designation of parents as sire or dams inverted in the duplicate.
In this paper this time-domain criterion is extended to the frequency domain to accommodate the analysis of nonlinear oscillators subject to harmonic excitation.
While standard multi-attribute utility theory is an accepted framework for making preference-based decisions between precisely characterized alternatives, it does not directly accommodate the analysis of imprecisely characterized alternatives.
The values on the y-axis in Figure 10 shows the number of times a VM is released and new one created to accommodate new analysis job.In the Figure 10, all our three algorithms that enhanced common provisioning disciplines (FCFS, SJF, and LJF) with a group classification and finished time lookup outperformed those without such enhancement.
