spin3R for an inspection of a 3-dim point cloud
Packaged: Mon Sep  3 11:17:06 2007; pwolf

Title: Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, and
Description: set of functions for drawing some special plots: stem.leaf
plots a stem and leaf plot bagplot plots a bagplot faces plots
chernoff faces spin3R for an inspection of a 3-dim point cloud
slider functions for interactive graphics
Packaged: Mon Jun 15 16:55:19 2009; pwolf

plots a stem and leaf plot stem.leaf.backback plots
back-to-back versions of stem and leafs bagplot plots a bagplot
faces plots chernoff faces spin3R for an inspection of a 3-dim
point cloud slider functions for interactive graphics

Title: Another Plot PACKage: stem.leaf, bagplot, faces, spin3R,
plotsummary, plothulls, and some slider functions
stem.leaf.backback plots back-to-back versions of stem and leafs,
skyline.hist plots several histgramm in one plot of a one dimensional data set,
plotsummary plots a graphical summary of a data set with one or more variables,
plothulls plots sequentially hulls of a bivariate data set,
spin3R for an inspection of a 3-dim point cloud,
slider functions for interactive graphics.

Maintainer: Hans Peter Wolf <pwolf@wiwi.uni-bielefeld.de>

Title: Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots',
Suggests: tkrplot, jpeg, png, splines, utils
Description: Some functions for drawing some special plots:
'iconplot' plots a representation of a frequency table or a data matrix,
'plothulls' plots hulls of a bivariate data set,
'plotsummary' plots a graphical summary of a data set,
'skyline.hist' combines several histograms of a one dimensional data set in one plot,
'slider' functions supports some interactive graphics,
'spin3R' helps an inspection of a 3-dim point cloud,
'stem.leaf.backback' plots back-to-back versions of stem and leaf plot.

Suggests: tkrplot, jpeg, png, splines, utils, tcltk

Title: Pre- and Postprocessing for AP-MS data analysis based on
Description: apmsWAPP provides a complete workflow for the analysis of AP-MS data (replicate single-bait purifications including negative controls) based on spectral counts.
It comprises pre-processing, scoring and postprocessing of protein interactions.
A final list of interaction candidates is reported: it provides a ranking of the candidates according
to their p-values which allow estimating the number of false-positive interactions.
Imports: genefilter, Biobase, seqinr, multtest, gtools, edgeR, DESeq,