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| LPS-news | R Documentation |
Minor fixes for CRAN submission.
heat.map() and clusterize() now print character annotation as text, only factors are attributed colors.
heat.scale() can now handle float and custom labels.
heat.scale() now prints the title also if horiz=FALSE.
heat.map() side color palette fixed when there are 8 classes.
heat.map() side now attributes a color even to unused factor levels.
heat.map() now attributes colors separately to each 'side' column.
heat.map() now attributes grey shades to numeric columns in 'side'.
heat.map() now handles properly matrices with a single row or column.
'clust.genes' and 'clust.samples' arguments added to clusterize().
'zlim.trim' argument added to heat.map() (previous behavior corresponded to zlim.trim = 0).
Dendrograms can now be disabled in clusterize().
'xaxt' and 'yaxt' arguments added to heat.map().
plot.LPS() no longer merges multiples gray zones into a single one.
Dependencies and NAMESPACE updated to comply with new policy.
'title' argument added to heat.scale().
'mai.top' is now used in heat.map() also without 'side'.
Default value for 'side.col' updated in heat.map() and relatives.
README and LICENSE files added.
Minor DESCRIPTION file updates to comply with new CRAN policies.
'font' argument added to heat.map().
heat.map() and predict.LPS() now return layout arguments.
'plot' argument removed from heat.map().
'getLayout' argument added to heat.map(), predict.LPS() and clusterize().
'mai.top' argument added to heat.map(), predict.LPS() and clusterize().
plot.LPS() no longer plots axis labels twice.
heat.scale() behavior according to horiz modified.
'customMar' argument added to heat.scale().
plot.LPS() now offers a 'threshold' argument to plot "gray zone" in Wright's models.
plot.LPS() now offers a 'values' argument to plot individual values from the training series.
plot.LPS() now plots the Y axis as a default.
LPS.coeff() now output 'weighted.t' columns rather than 'weighted.' as expected.
't' component added to LPS objects to store unweighted t statistics.
predict.LPS() now orders and prints unweighted t statistics.
heat.exp() now makes use of its 'base' argument.
'side' and 'expr' inconsistencies in predict.LPS() resolved.
Reference added to LPS manual page.
Cosmetic updates in surv.scale() and surv.colors() manual pages.
predict.LPS() margin inconsistency between heat map and annotation fixed.
predict.LPS() layout fixed.
clusterize()'s legend is no longer clipped if too long.
clusterize()'s legend is no longer plotted if empty (only custom colors).
heat.map() 'mar' arguments replaced by 'mai', with dynamic defaults (so clusterize and predict.LPS too).
predict.LPS() error raising in class plot fixed.
surv.colors() and surv.scale() added.
heat.map() now orders 'side' according to 'expr' row names as pretented.
heat.map() now accepts custom hexadecimal colors in 'side'.
LPS.coeff() no longer relies on Windows internal for variance.
heat.scale() 'heatPalette' argument renamed in 'col.heatmap' for consistency.
predict.LPS() output format fixed (probability matrix was broken with plot=TRUE).
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They may not be fully stable and should be used with caution. We make no claims about them.
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