Sentence examples for data analysis was implemented from inspiring English sources

Stimuli presentation was controlled by the program E-Prime, CNV-recording was done with Brain Vision Recorder 1.20 and data analysis was implemented with Brain Vision Analyzer 1.05.

All the data analysis was implemented in Matlab.

Data analysis was implemented in Matlab using custom code available from the authors.

Conventional approach for data analysis was implemented; no structure was used for categorizing data.

The data analysis was implemented by the BayesX 2.01 software package (Belitz et al. 2009).

Sequence data analysis was implemented in BioPython (Cock et al. 2009) using iPython (Pérez and Granger 2007) and BioPerl (Stajich et al. 2002); phylogenetic computation was implemented using DendroPy 3.10.0 (Sukumaran and Holder 2010) in Python 2.7.2 (www.python.org).org

The panel data analysis is implemented to estimate the relationship between urban land use patterns and energy consumption.

The exploratory data analysis is implemented to construct a comprehensive training data set from polymer flooding experimental and field data, which involves various attributes describing characteristics associated with reservoir heterogeneities and pertinent operating parameters.

Availability and implementation: The analysis was implemented in R and Python, and source code can be found in Supplementary Data.

Sample size was not calculated before the study given the absence of available comparable data in literature; instead, a retrospective power analysis was implemented.

Principle component analysis was implemented prior to data analysis to assess population substructure.