Literature DB >> 21625291

fgui: A Method for Automatically Creating Graphical User Interfaces for Command-Line R Packages.

Thomas J Hoffmann1, Nan M Laird.   

Abstract

The fguiR package is designed for developers of R packages, to help rapidly, and sometimes fully automatically, create a graphical user interface for a command line R package. The interface is built upon the Tcl/Tk graphical interface included in R. The package further facilitates the developer by loading in the help files from the command line functions to provide context sensitive help to the user with no additional effort from the developer. Passing a function as the argument to the routines in the fgui package creates a graphical interface for the function, and further options are available to tweak this interface for those who want more flexibility.

Entities:  

Year:  2009        PMID: 21625291      PMCID: PMC3103229          DOI: 10.18637/jss.v030.i02

Source DB:  PubMed          Journal:  J Stat Softw        ISSN: 1548-7660            Impact factor:   6.440


  2 in total

1.  P2BAT: a massive parallel implementation of PBAT for genome-wide association studies in R.

Authors:  Thomas Hoffmann; Christoph Lange
Journal:  Bioinformatics       Date:  2006-10-04       Impact factor: 6.937

2.  Gene-environment interaction tests for dichotomous traits in trios and sibships.

Authors:  Thomas J Hoffmann; Christoph Lange; Stijn Vansteelandt; Nan M Laird
Journal:  Genet Epidemiol       Date:  2009-12       Impact factor: 2.135

  2 in total
  5 in total

1.  Parsing the effects of individual SNPs in candidate genes with family data.

Authors:  Thomas J Hoffmann; Christoph Lange; Stijn Vansteelandt; Benjamin A Raby; Dawn L DeMeo; Edwin K Silverman; Scott T Weiss; Nan M Laird
Journal:  Hum Hered       Date:  2009-12-04       Impact factor: 0.444

2.  Combining disease models to test for gene-environment interaction in nuclear families.

Authors:  Thomas J Hoffmann; Stijn Vansteelandt; Christoph Lange; Edwin K Silverman; Dawn L DeMeo; Nan M Laird
Journal:  Biometrics       Date:  2011-03-14       Impact factor: 2.571

3.  Expediting Clinical and Translational Research via Bayesian Instrument Development.

Authors:  Yu Jiang; Diane K Boyle; Marjorie J Bott; Jo A Wick; Qing Yu; Byron J Gajewski
Journal:  Appl Psychol Meas       Date:  2014-06

4.  VisRseq: R-based visual framework for analysis of sequencing data.

Authors:  Hamid Younesy; Torsten Möller; Matthew C Lorincz; Mohammad M Karimi; Steven J M Jones
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

5.  Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application.

Authors:  Yu Jiang; Peter Guarino; Shuangge Ma; Steve Simon; Matthew S Mayo; Rama Raghavan; Byron J Gajewski
Journal:  Trials       Date:  2016-07-22       Impact factor: 2.279

  5 in total

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