"Sinopsis" puede pertenecer a otra edición de este libro.
Keon-Woong Moon, M.D., Ph.D., is Professor of Cardiology at the Catholic University of Korea and serves as the Director of Cardiology at St. Vincent’s hospital. In 2014, he completed the Data Science Specialization course authorized by Johns Hopkins University offered through Coursera. Recently he developed four R packages (mycor, moonBook, ztable, and ggiraphExtra) for distribution on CRAN. He has taught residents, fellows, and junior staff about R and ggplot2 for many years, and he is the author of two books in Korean: R Statistics and Graphs for Medical Papers (2015, Hannarae) and Web-Based Analysis without R in Your Computer (2015, Hannarae).
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 29,97 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoEUR 19,49 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoLibrería: SecondSale, Montgomery, IL, Estados Unidos de America
Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00065104878
Cantidad disponible: 2 disponibles
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Nº de ref. del artículo: 135466796
Cantidad disponible: Más de 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9783319530185_new
Cantidad disponible: Más de 20 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding.In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. This manual-'integrating' R, ggplot2, and Shiny-introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone.Learn ggplot2 Using Shiny App allows users toMake publication-ready plots in minutes without codingDownload plots with desired width, height, and resolutionPlot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics 368 pp. Englisch. Nº de ref. del artículo: 9783319530185
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding.In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. This manual-'integrating' R, ggplot2, and Shiny-introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone.Learn ggplot2 Using Shiny App allows users toMake publication-ready plots in minutes without codingDownload plots with desired width, height, and resolutionPlot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics. Nº de ref. del artículo: 9783319530185
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 351. Nº de ref. del artículo: 26375271516
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 351. Nº de ref. del artículo: 371822467
Cantidad disponible: 4 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. Neuware -This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch. Nº de ref. del artículo: 9783319530185
Cantidad disponible: 2 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 351. Nº de ref. del artículo: 18375271510
Cantidad disponible: 4 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 351 pages. 9.00x6.00x0.75 inches. In Stock. Nº de ref. del artículo: x-3319530186
Cantidad disponible: 2 disponibles