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⇤ ← Revision 1 vom 2015-06-02 05:45:09
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| == Prepare == * After you have installed deducer, you have to load the Deducer related packages (this extends the menues) * go to the ''packages & data'' menue in the menue bar {{attachment:menupack1.png|alt text|width=800 height=600}} * choose ''Package Manager'' {{attachment:menupack2.png|alt text|width=800 height=600}} * the package manager opens up: * by marking the checkboxes in the first column you can load packages (''loaded'') * by marking the ckeckboxes in the second column you can choose which packages you want to be automatically loaded every time you start Deducer (''default'') * the third and fourth columns show the name and a short description of the packages respectively * scroll down to the ''Deducer'' and the ''DeducerExtra'' packages and mark for each of them both: the loaded and the default checkbox {{attachment:packman1.png|alt text|width=800 height=600}} * close the package manager by clicking on the ''Close'' button * Now basic statistical procedures are available through the menues (and from now on in every session) |
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| * After you have installed deducer, you have to load the Deducer related packages (this extends the menues) | * now we will test some functionalities * so first we load an examples data set: * go to the ''Extras'' menue in the menue bar and choose ''Load data from package'' {{attachment:choosedata1.png|alt text|width=800 height=600}} * a little window opens up and you can choose a data set * for now choose the ''Pima.te'' data set and click the ''Run'' button {{attachment:choosedata2.png|alt text|width=800 height=600}} |
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| * Now basic statistical procedures are available through the menues | === Exercise === 1. Find and load the MASS package. |
About Deducer
Why Deducer?
Deducer is designed to be a free easy-to-use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to perform common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit data frames. The goal of the project is two fold.
- Provide an intuitive graphical user interface (GUI) for R, encouraging non-technical users to learn and perform analyses without programming getting in their way. So it may lower the entry threshold.
- Increase the efficiency of expert R users when performing common tasks by replacing hundreds of keystrokes with a few mouse clicks. Also, as much as possible the GUI should not get in their way if they just want to do some programming.
Why Not?
- Deducer is java-dependend and therefore sometimes not stable (although it has been a long time since I had problems, but I work very rarely with the deducer package; maybe it is more stable these days)
- R is designed for text based interactions, the full functionality is not available through menues
- the course will be based on typing the commands but maybe the Deducer GUI helps to overcome your inhibition to use R
Installation
there are instructions how to install at http://www.deducer.org/
- from within R:
- run R
- type library(JGR)
- followed by JGR()
- there is also a script created during the installation; the path is shown when you start Deducer via R (e.g. \texttt{~/R/i686-pc-linux-gnu-library/2.14/JGR/scripts/run}
Prepare
- After you have installed deducer, you have to load the Deducer related packages (this extends the menues)
go to the packages & data menue in the menue bar
choose Package Manager
- the package manager opens up:
by marking the checkboxes in the first column you can load packages (loaded)
by marking the ckeckboxes in the second column you can choose which packages you want to be automatically loaded every time you start Deducer (default)
- the third and fourth columns show the name and a short description of the packages respectively
scroll down to the Deducer and the DeducerExtra packages and mark for each of them both: the loaded and the default checkbox
close the package manager by clicking on the Close button
- Now basic statistical procedures are available through the menues (and from now on in every session)
First Steps
- now we will test some functionalities
- so first we load an examples data set:
go to the Extras menue in the menue bar and choose Load data from package
- a little window opens up and you can choose a data set
for now choose the Pima.te data set and click the Run button
Exercise
- Find and load the MASS package.