Option dialog: Difference between revisions

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The option is  
The option is  
* "library path" - paste the path were your libraries are installed or should be installed. Use "NULL" for default (system) path.
* "library path" - paste the path were your libraries are installed or should be installed. Use "NULL" for default (system) path.
If you change the library path from its default value, remind to use this location when [[R_console_tab#console|installing or loading]] your own libraries.


===start your own R===
===start your own R===

Revision as of 13:43, 3 February 2011

general

  • enable anti-aliasing: specifies whether anti-aliasing shall be used (recommended)
  • paint nodes above links: specifies whether nodes shall be painted above links (recommended)
  • multi-link distance: specifies the distance between multi-links
  • decimal places for numbers: specifies how many decimal places to display


background

Background settings apply to all opened visone tabs.

  • background color: sets the background color
  • line color: sets the color of contour lines and their labels
  • show scale values: specifies whether contour line labels shall be displayed

As an example, contour lines are used in a centrality layout.


R - connection

installation

We assume that you have an R installation running (install the latest version fitting to your system from the link). For a connection between visone and R we additionally need the RServe packages. You can install this package directly from R:

  • start an R console (the R GUI under windows, or type "R" on a terminal in Linux/MacOS)
  • in the R console run the command: install.packages("Rserve", dependencies=T)
  • make sure the installation completed successfully
  • you can close R (i.e. by running the command q(), no need to save anything)

Now, your R should be ready for visone.

basic connection properties

Here you tell visone where your R installation resides. On some systems this is not problematic, sometimes you have to give the exact place where R is installed. If you try this on a Linux or MacOS, try not to touch anything. If this does not work for you, configure the following options:

  • "use R in system path" - use this option if you have a regular R installation on a Linux or MacOS and the binary is in the path
  • "path to R/Rserve dir" - if the first option does not work for you (or you want to start a specific R installation) give the path to the executable here (the directory where the executable "RServe.exe" (Windows) or "R" (all other) file is located)
  • "use Rserve" - if you are on a windows system, R needs to be started using a specific command, in this case check this box and give the path to the "Rserve.exe" to the option above

Sometimes it is necessary to copy the file "Rserve.exe" from the library section (i.e. C:\Users\Peter\Documents\R) to the bin section (i.e. C:\Program Files\R\R-11.1\bin) of your R installation.

library configuration

In some cases R has a problem to find its libraries when started from visone. If you experience problems with library installation, i.e. visone connects, but cannot install libraries or send graphs to R, you can configure the location of your libraries here. This is also an option to have a unique place where all the visone installed R libraries will reside. The option is

  • "library path" - paste the path were your libraries are installed or should be installed. Use "NULL" for default (system) path.

If you change the library path from its default value, remind to use this location when installing or loading your own libraries.

start your own R

If you're planning to start R on a remote machine or the other options do not work for you, you can run your own instance of R and have visone connect to it:

  • "dont't start R, but use" - check this if you would like visone to use an R instance started by you
  • "server or ip" - give the name of the server or its ip adress
  • "port" - the port visone should connect to

In case you have trouble connecting, you can always start your own R-session. To do this, start the usual R console, make sure your completed the [RServe_Installation RServe-Installation] and run:

library(Rserve)
Rserve()


Learn more about R - especially RSiena and some more on the connection options in a short guide on how to use Rsiena from within visone.