New argument focus for Different Singular Value
Partitionings, including GH, JK, SQRT, HJ.
New function ggbiplot() function using
ggplot2 graphics to draw the biplot.
Average Environment Coordinate
Bootstrap testing for PCs (Forkman 2019 paper)
Bootstrap conf int
Documentation pages now created via Github Actions.
Changed vignette chunk option eval=0 to
eval=FALSE to maybe fix error when
revdep-checking agridat.
Fixed vignette example showing the difference between genotype-focused and environment-focused biplots.
Switch from GPL3 to MIT license.
Fix docType issue as requested by CRAN.
Brian Ripley wrote: “The future of OpenGL is uncertain (except on
macOS, where it has no future). So it seems reasonable to require
rgl only when essential to the package. These packages have
it in Depends/Imports but seem not to actually call it in their checks
(established using a fake install). It is possible that the sole purpose
of the package might be to do interactive visualizations which are not
checked, but that seems not to be the case here. We noticed calls to rgl
functions in , but they would better be conditioned by if(interactive())
(see ‘Writing R Extensions’). Please move rgl to Suggests and use
conditionally (see §1.1.3.1 of ‘Writing R Extensions’) at the next
package update.””
require(rgl) because
that crashes R for some users, so use
if("rgl" %in% installed.packages() ) to check for
installation and then call functions rgl::open3d()Please use gge(data,formula) instead of
gge(formula,data).
New argument ggb=TRUE to request construction of GGB
biplot.
Use cex.gen=0 to omit genotype names.
On some Windows machines, library(rgl) crashes R,
perhaps because of a dll conflict with Windows. Removed
@import rgl so that rgl is not loaded by
default, and now biplot3d uses calls like
rgl::text3d.
The nipals() function using C++ code has been
removed.
The rnipals() function has been removed.
The gge package now imports the nipals
package, which is new.
New function nipals() for finding principal
components using C++. Code from pcaMethods
package.
New function rnipals() for finding principal
components in R.
New function biplot3d() to draw 3d biplots using
rgl package.
Modifed main, subtitle,
xlab, ylab arguments to allow
removal.
Changed title argument to main for
consistency with other packages.
Now using testthat and covr
packages.
Added package logo on GitHub.
Added zoom.gen and zoom.env arguments
to biplot() for M.Zoric.
Moved tests to tests/gge_tests.R
Package gge is split off from agridat
package.
Added origin, hull arguments to
biplot().
gge() to agridat package.gge() to fit and plot GGE
biplots.nipals() based on
pcaMethods::nipalsPca(). Modified the function for faster
execution and submitted a patch back to pcaMethods.pcaMethods package.gge::nipals() R function is re-named
rnipals(), and a new nipals() function is
created, based on the C++ code in pcaMethods. Released gge
version 1.2.mixOmics::nipals() is a pure R function
that is faster than the C++ version, so gge::nipals() was
re-written into a pure R function. The C++ version was removed from the
gge package.gge::nipals function is moved to a new package,
nipals::nipals. The function is optimized for performance,
improved to better handle missing values and to orthogonalize the
principal components.