EWRS Education and Training Workshop on the free Statistical Software R
Use of linear and nonlinear regression in physical, chemical and biological weed control
Time:8thof April at 13:00 to 10thof Aprilat 12:00
Venue:Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080 Zemun-Belgrade
Instructors
Jens Carl Streibig, Christian Ritz
Faculty of Life Sciences, University of Copenhagen
Description
Weed science is a biological science and, because uncertainty happens, statistics must be used to determine how closely data correspond to a working hypothesis. Whether you publish in international journals or participate in local meetings, you present effects of treatments, be they mechanical, biological or chemical means of controlling weeds, and you are expected to substantiate and summarize your results beyond what could be ascribed as chance findings by means ofappropriate statistical analyses.
If you have ever wondered when to use analyses of variance or regression analyses; and, if using regressions, whether it should be linear or nonlinear? Then this course is for you. We will try to answer these questions and provide you with guidelines on how to select scientifically and statistically sound analyses without using unnecessary statistical jargon.
The course is based on using R, which is an open source language and environment for statistical computing and graphics.R runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), on Windows and on MacOS.Rcan be downloaded at Rdocumentation, manuals and even some textbooks are freelyavailable in several languages, e.g.
In order to make R easier to use for weed scientists, the following “packages” for R will be used:agricolae (a general crop science package) and drc (which was originally developed for herbicide scientists and covers nonlinear regressions models, including weed crop competition models and dose-response curves. The dose-response methodologycan also conveniently be applied to other branches of weed science such as: allelopathy, flame weeding, weed steaming, physical control, laser cutting, and radiation just to mention a few.
The EWRS Education and Training working group will subsidise the threeday stay in Belgradeduring the workshop for EWRS members. For non-member post docs and senior scientiststhe subsidy will be reduced by 60 EURO,and for Master and PhD students by 30 EURO. These fees correspond to one year membership of EWRS ( and,if you consider becoming a member of EWRS, you can register and pay the fee online at URL:
In order to be considered for the training workshop you must fill out and send me the attached form no later than March15th2011. The grants will be givenbased on first-come, first-served.
The participants must bring their own laptop with internet connection facilities, and it is highly recommended to bring your own data to be analysed during the workshop.
Kind regards
Jens Carl Streibig, Professor of Weed Science
University of Copenhagen (e-mail: )
EWRS Education and Training Workshop on the free Statistical Software R
Use of linear and nonlinear regression in physical, chemical and biological weed control
Time:8th of April at 13:00 to 10thof Aprilat 12:00
Venue:Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080 Zemun-Belgrade
Instructors
Jens Carl Streibig, Christian Ritz
Faculty of Life Sciences, University of Copenhagen
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Jens Carl Streibig, Professor of Weed Science, University of Copenhagen, Email: