globalchange  > 过去全球变化的重建
Title:
Introduction to R
Publisher: Transmitting Science
Publishing Year: 2017
Conference Date: 2017-5-23/
Conference Place: Els Hostalets de Pierola, Spain
Country Filed: 西班牙
Language: 英语
Subject of Source: Chemistry ; Earth Science ; Life Science ; Computer Science
Keyword: Analytical Chemistry ; Biochemistry ; Geology ; Geophysics ; Geochemistry ; Soil Science ; Limnology ; Meteorology ; Environmental Science ; Hydrology ; Atmospheric Science ; Biology ; Microbiology ; Molecular Biology ; Neuroscience ; Genetics ; Pathology ; Immunology ; Biochemistry ; Ecology ; Medicine ; Physiology ; Anatomy ; Zoology ; Botany ; Food Science ; Earth Science ; Life Science ; Oceanography ; Geography ; Toxicology ; Biotechnology ; Agriculture ; Climatology ; Biogeochemistry ; Biogeochemistry ; Pharmacology ; Algorithms ; Theory ; and Mathematics ; Epidemiology ; Planetary Science ; Chemical Biology ; Bioinformatics ; Applied Computing ; Knowledge Transfer ; Virology ; Vaccinology ; Remote Sensing / GIS ; Archaeology ; Cartography ; Forestry ; Regulatory ; Parasitology
Subject in Chinese: 农业科学 ; 地球化学
Subject: AGRICULTURE ; GEOCHEMISTRY
English Abstract: 1st Edition INTRODUCTION TO R May 22nd-26th, 2017, Barcelona (Spain) The aim of this course is to give an introduction to R addressed to people that has never used R. By the end of the course, the participants should be able to do the following in R: Import / export data-bases. Manage data sets. Carry out basic statistic analyses with R. Draw high quality graphs. Program specific functions. Guided practice with R – Students are encouraged to bring a dataset with them along with a “previously completed” statistical analysis or graphic. Ideally something fairly introductory and simple from the student’s own field of practice that you’ve worked with in Excel, SAS, or elsewhere. We will use last lesson session to review all the steps to ensure students can load, check, tidy data and then perform the basic statistics or generate the graphs common in their respective disciplines. This time also usually provides opportunity to troubleshoot and learn to navigate web resources to find solutions to errors. Extra datasets will be available for students that prefer not to bring their own work or who want extra practice at specific skills.
Related Link: http://www.globaleventslist.elsevier.com/events/2017/05/introduction-to-r/
Document Type: 会议
Identifier: http://119.78.100.158/handle/2HF3EXSE/26272
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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. Introduction to R. 2017-01-01.
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