Hand on workshop 

on

the free Statistical Software Application of Statistic in Agriculture

 

 

Time:                15thAugust 2017

Duration:          9-16:30

Venue:              University of Mohaghegh Ardabili

Instructor:      Jens Carl Streibig, Faculty of Science, University of Copenhagen.

 

Note: Just the conference registered members could participate in the workshop with an extra charge based on the table below:

Participation type

Registration Fee (until 6 August)

 

Scientific members

20 US dollars

 

Students

15 US dollars

 

Listener 

30 US dollars

 

 

Uncertainty happens and we must use statistics to determine how closely data correspond to working hypotheses. Whether you publish in international journals, at local meetings or writing up reports, you present effects of treatments to substantiate you results by statistical analyses.

If you have ever wondered when to use analyses of variance or regressions this course is for you. We will provide you with guidelines on how to select scientifically and statistically sound analyses

 

Bring your laptop and prepare for the workshop by downloading:

 

https://cran.r-project.org/bin/windows/base/R-3.4.1-win.exe

 

https://download1.rstudio.org/RStudio-1.0.143.exe

 

If you are Mac user:.

 

https://cran.r-project.org/bin/macosx/

 

https://download1.rstudio.org/RStudio-1.0.143.dmg

 

 

 

Headline

Content

 

 

 

Getting data into R,

the R programme

 

Basic statistics

 

 

Testing ANOVA

Testing Regression

 

 

 

Various good things to know

Introduction and objective of  the workshop

Installation of R (done before the workshop by students)

Installation of RStudio (done before the workshop by students)

Get your data in shape

Introductory Statistic

Graphic presentation

 

ANOVA, one way, two ways

How to report ANOVA

Regression

The differences between ANOVA and regression

 

Is a relationship linear?

How to report regression analyses

The statistical assumption

To transform and not transform that is the question.

Do not blindly copy what others have done in statistics