Packaged: Mon Jul 21 17:18:23 2008; lore

Title: Utilities of Institute of Data Analyses and Process Design
Description: The IDPmisc package contains different high-level graphics
functions for displaying large datasets, displaying circular
data in a very flexible way, finding local maxima, brewing
color ramps, drawing nice arrows, zooming 2D-plots, creating
figures with differently colored margin and plot region.  In
addition, the package contains auxiliary functions for data
manipulation like omitting observations with irregular values
or selecting data by logical vectors, which include NAs. Other
functions are especially useful in spectroscopy and analyses of
environmental data: robust baseline fitting, finding peaks in
Packaged: Mon Mar 16 10:51:56 2009; lore

Author: Rene Locher, Andreas Ruckstuhl et al.

Title: 'Utilities of Institute of Data Analyses and Process Design
Authors@R: c(person("Rene", family = "Locher", role = c("aut", "cre"), email = "rene.locher@zhaw.ch"),
person("Andreas", family = "Ruckstuhl", role = c("ctb")))
Description: Different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region.  In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra.

Description: Different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region.  In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra, converting humidity measures.