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Because native speakers learn the language by being immersed into the environment from Childhood, and by forming the "language sense" in so strong a language environment.
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Statistical analyses were performed using the software IBM SPSS Statistics 21 and the R: A language and environment for statistical computing [6], for the multivariable logistic regression model.
All the analyses other than specifically noted were conducted in R: A language and environment for statistical computing (http://www.r-project.org).org
All statistical analyses were completed using R: A language and environment for statistical computing.
All analyses were performed using the SAS System (version 9.3; SAS Institute, Cary, NC) and R 3.0.0 [R Development Core Team (2013), R: A language and environment for statistical computing.
Analyses were conducted in R: A language and environment for statistical computing 2014 (R Core Team, R Foundation for Statistical Computing, Vienna, Austria) or Excel v. 14.4.6 (Microsoft, Redmond, WA).
All statistical calculations were carried out using R software (R Development Core Team [2009], R: A language and environment for statistical computing) with the "Survival" and "Cmprsk" packages.
Meta-analysis was performed using R: A language and environment for statistical computing (R Foundation for Statistical Computing, Vienna, Austria [ 13]), utilising the packages meta, metafor and rmeta.
All data management and analysis were performed using the SAS system (version 9.3; SAS Institute, Cary, NC) and R 3.0.0 [available at http://www.R-project.org/, R Development Core Team (2013), R: A language and environment for statistical computing.
Missing values in the predictor variables (8.3 %) were multiply imputed (m = 5) using the bootstrap EM algorithm from package 'Amelia' (1.7.3, [ 30]) for R. All data analyses were performed using R: A language and environment for statistical computing (3.2.2) [ 31].
Genome-wide coverage was calculated using the genomeCoverageBed function in BEDTools (Quinlan and Hall, 2010; version 2.16.2) and all subsequent plots were generated using the statistical programming language, R (R core team 2012, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria; version 2.15).
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