Pharmacokinetic data analysis used the R data analysis and statistical language (Version 2.10.1) using a single factor ANOVA [ 21].
The authors thank Prof. K.D. Wernecke for supporting statistical data analysis and Laraine Visser-Isles for English language editing.
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2296/12/141/prepub We are grateful to the patients who took part in the study, Mr. Alojz Tapajner for his technical assistance in data analysis, and Ms. Justi Carey for language editing.
–R, open source language for data analysis and graphic display.
Unfortunately, in its current form, this manuscript suffers from many faults in language, logic, organization, data analysis and data presentation.
These processing were performed using R, an open source language for statistical computing, data analysis and graphical visualization.
HDL: model construction, data analysis, and paper preparation; SXY: web server construction; XYD: language revision and data analysis; XS: analysis of results.
All data analysis and statistical testing was conducted using the statistical programming language R [89].
If not noted otherwise, all data analysis and statistical testing was done in the statistical programming language R [57].
We believe visual languages have great potential for data analysis and processing tasks in the context of Building Information Modeling.
Bioconductor (Dudoit et al., 2003), a biological data analysis package based on R statistical programming language (Ihaka and Gentleman, 1996), was used for array data analysis and integration with other gene annotations.
