Package: gcookbook
Type: Package
Title: Data for "R Graphics Cookbook"
Version: 1.0
Author: Winston Chang
Maintainer: Winston Chang <winston@stdout.org>
Description: This package contains data sets used in the book "R
Graphics Cookbook" by Winston Chang, published by O'Reilly
Media.
License: GPL-2
LazyData: yes
Depends: R (>= 2.10)
Suggests: ggplot2, plyr, MASS
Collate: 'gcookbook.r'
Packaged: 2012-11-30 10:11:39 UTC; winston
Repository: CRAN
Date/Publication: 2012-11-30 12:00:19
Package: gdata
Title: Various R Programming Tools for Data Manipulation
Description: Various R programming tools for data manipulation, including:
- medical unit conversions ('ConvertMedUnits', 'MedUnits'),
- combining objects ('bindData', 'cbindX', 'combine', 'interleave'),
- character vector operations ('centerText', 'startsWith', 'trim'),
- factor manipulation ('levels', 'reorder.factor', 'mapLevels'),
- obtaining information about R objects ('object.size', 'elem', 'env',
'humanReadable', 'is.what', 'll', 'keep', 'ls.funs',
'Args','nPairs', 'nobs'),
- manipulating MS-Excel formatted files ('read.xls',
'installXLSXsupport', 'sheetCount', 'xlsFormats'),
- generating fixed-width format files ('write.fwf'),
- extricating components of date & time objects ('getYear', 'getMonth',
'getDay', 'getHour', 'getMin', 'getSec'),
- operations on columns of data frames ('matchcols', 'rename.vars'),
- matrix operations ('unmatrix', 'upperTriangle', 'lowerTriangle'),
- operations on vectors ('case', 'unknownToNA', 'duplicated2', 'trimSum'),
- operations on data frames ('frameApply', 'wideByFactor'),
- value of last evaluated expression ('ans'), and
- wrapper for 'sample' that ensures consistent behavior for both
scalar and vector arguments ('resample').
Depends: R (>= 2.3.0)
SystemRequirements: perl (>= 5.10.0)
Imports: gtools, stats, methods, utils
Version: 2.17.0
Date: 2015-07-02
Author: Gregory R. Warnes, Ben Bolker, Gregor Gorjanc, Gabor
Grothendieck, Ales Korosec, Thomas Lumley, Don MacQueen, Arni
Magnusson, Jim Rogers, and others
Maintainer: Gregory R. Warnes <greg@warnes.net>
License: GPL-2
NeedsCompilation: no
Suggests: RUnit
Packaged: 2015-07-03 23:13:13 UTC; warnes
Repository: CRAN
Date/Publication: 2015-07-04 09:51:58
Package: gdimap
Version: 0.1-9
Date: 2015-01-07
Title: Generalized Diffusion Magnetic Resonance Imaging
Author: Adelino Ferreira da Silva <afs@fct.unl.pt>
Maintainer: Adelino Ferreira da Silva <afs@fct.unl.pt>
Depends: R (>= 3.0.0), rgl
Imports: oro.nifti, movMF, grid, gridExtra, colorspace, geometry, gsl, abind
Description: Diffusion anisotropy has been used to characterize
white matter neuronal pathways in the human brain, and infer global
connectivity in the central nervous system. The package implements
algorithms to estimate and visualize the orientation of neuronal
pathways in model-free methods (q-space imaging methods).
For estimating fibre orientations two methods have been
implemented. One method implements fibre orientation detection
through local maxima extraction. A second more robust method
is based on directional statistical clustering of ODF voxel data.
Fibre orientations in multiple fibre voxels are estimated using
a mixture of von Mises-Fisher (vMF) distributions. This statistical
estimation procedure is used to resolve crossing fibre
configurations.
Reconstruction of orientation distribution function (ODF)
profiles may be performed using the standard generalized
q-sampling imaging (GQI) approach, Garyfallidis' GQI (GQI2)
approach, or Aganj's variant of the Q-ball imaging (CSA-QBI)
approach. Procedures for the visualization of RGB-maps,
line-maps and glyph-maps of real diffusion magnetic resonance
imaging (dMRI) data-sets are included in the package.
LazyData: yes
NeedsCompilation: no
License: GPL (>= 2)
URL: http://www.r-project.org
Repository: CRAN
Packaged: 2015-01-07 15:03:27 UTC; arfs
Date/Publication: 2015-01-07 17:51:06
Package: gds
Type: Package
Title: Descriptive Statistics of Grouped Data
Version: 0.1.0
Author: Partha Sarathi Bishnu <psbishnu@gmail.com>
Maintainer: Partha Sarathi Bishnu <psbishnu@gmail.com>
Description: Contains a function called gds() which accepts three input
parameters like lower limits, upper limits and the frequencies of the
corresponding classes. The gds() function calculate and return the values
of mean ('gmean'), median ('gmedian'), mode ('gmode'), variance ('gvar'), standard
deviation ('gstdev'), coefficient of variance ('gcv'), quartiles ('gq1', 'gq2', 'gq3'),
inter-quartile range ('gIQR'), skewness ('g1'), and kurtosis ('g2') which facilitate
effective data analysis. For skewness and kurtosis calculations we use moments.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-08 09:36:42 UTC; student
Repository: CRAN
Date/Publication: 2016-04-09 00:21:07
providing 
.