Sentence examples for data set is suitable from inspiring English sources

Without placing undue burden on the applicant, descriptions of specific research hypotheses and rationale for why the requested data set is suitable along with analytic plan, might be informative.

This data set is suitable for testing the cross-modal classification strategy because two types of actions (hand and mouth) were presented in two different modalities (auditory and execution) to the same subjects.

Since KMO index was 0.89, the data set is suitable for factor analysis as it is greater than 0.50.

Since the esophagus is expected as the first application of the microsystem, the used clinical data set is suitable for the simulations.

The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and the Bartlett Test of Sphericity (BTS) were conducted on the data prior to factor extraction to ensure that the characteristics of the data set were suitable for the factor analysis to be conducted.

The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and the Bartlett Test of Sphericity (BTS) were conducted on the data prior to factor extraction to ensure that the characteristics of the data set were suitable for the EFA to be conducted.

The logical progression of this work is the testing of Swarm measurements, the comparison of Swarm data with plasma flow measurements from other instruments to ensure the data sets are suitable for merging, and finally the generation of convection maps.

These results indicated that the data sets were suitable for analyzing the differential expression of transcripts or genes.

Polymorphism information for all loci is provided in Appendix B. These summary results indicated that the microsatellite data sets were suitable for further analyses.

The resulting data set is claimed to be suitable for macro-level comparative analysis and for focusing on the qualitative aspects of particular actors and claims (Koopmans et al., 2005, p. 27).

In this approach each data set is divided into suitable time windows, and within each time window the overlapped signals are resolved with the alternating regression method originally proposed by Karjalainen [ 52]; a multivariate analysis is used to identify time windows which contain significant differences between samples [ 29, 68].