tdmGraphicNewWin

with <code>opts$GD.DEVICE</code> one out of 
[ <code>"pdf"</code> | <code>"png"</code> | <code>"win"</code> | <code>"rstudio"</code> | <code>"non"</code> ],
see <code><a rd-options="" href="/link/tdmGraphicInit?package=TDMR&version=2.2" data-mini-rdoc="TDMR::tdmGraphicInit">tdmGraphicInit</a></code>

opts

optional arguments to hand over to <code><a rd-options="" href="/link/png?package=TDMR&version=2.2" data-mini-rdoc="TDMR::png">png</a></code> or <code>windows</code> or <code>X11</code> in 
package grDevices (the other devices require no further arguments)

Initialize a new window ("win") / a new file ("png") for current graphic device.

Tuned Data Mining in R ('TDMR') performs the complete tuning of a
data mining task (predictive analytics, that is classification and regression).
Preprocessing parameters and modeling parameters can be tuned simultaneously.
It incorporates a variety of tuners (among them 'SPOT' and 'CMA' with package 'rCMA') and
allows integration of additional tuners. Noise handling in the data mining optimization
process is supported, see Koch et al. (2015) <doi:10.1016/j.asoc.2015.01.005>.

Wolfgang Konen

TDMR

Tuned Data Mining in R

tdmGraphicNewWin function

with <code>opts$GD.DEVICE</code> one out of 
[ <code>"pdf"</code> | <code>"png"</code> | <code>"win"</code> | <code>"rstudio"</code> | <code>"non"</code> ],
see <code><a rd-options='' href='tdmGraphicInit'>tdmGraphicInit</a></code>

optional arguments to hand over to <code><a rd-options='' href='png'>png</a></code> or <code>windows</code> or <code>X11</code> in 
package grDevices (the other devices require no further arguments)

tdmGraphicNewWin: Initialize a new window.

Description

Usage

Arguments