You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In order to make the visualizaitons more performant we needed to use rasterization.
On Mac OS X if you use RStudio or R from the terminal, you must have a copy of XQuartz, the X11 window manager, installed. This is no longer a default install since Mac OS X 10.8. You need to install XQuartz, before installing the omicser package (dependency via ComplexHeatmaps and magick). Logout and login for the installation to take effect. You can get it from https://www.xquartz.org/. This page is also linked from the Download R for (Mac) OS X page.
The text was updated successfully, but these errors were encountered:
Rasterization is a way to covnert the vector graphics into a matrix of colors. In this case, an image is represented as a matrix of RGB values, which is called a raster image. If the heatmap is larger than the size of the screen or the pixels that current graphics devices can support, we can convert the heatmap and reduce it, by saving it in a form of a color matrix with the same dimension as the device.
In order to make the visualizaitons more performant we needed to use rasterization.
On Mac OS X if you use RStudio or R from the terminal, you must have a copy of XQuartz, the X11 window manager, installed. This is no longer a default install since Mac OS X 10.8. You need to install XQuartz, before installing the omicser package (dependency via ComplexHeatmaps and magick). Logout and login for the installation to take effect. You can get it from https://www.xquartz.org/. This page is also linked from the Download R for (Mac) OS X page.
The text was updated successfully, but these errors were encountered: