Package: DeducerSpatial
Maintainer: Ian Fellows <ian@fellstat.com>
License: GPL-2
Title: Deducer for spatial data analysis
Author: Ian Fellows and Alex Rickett with contributions from Neal
Fultz.
Description: A Deducer plug-in for spatial data analysis. Includes The
ability to plot and explore open street map and Bing satellite
images.
SystemRequirements: Java (>= 1.5), JRI
Version: 0.7
URL: http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerSpatial
http://www.fellstat.com http://research.cens.ucla.edu/
Date: 2013-04-12
Depends: JavaGD (>= 0.6-0), Deducer (>= 0.7-4), sp, maptools, OpenStreetMap, scales, rgdal
Suggests: UScensus2010
Imports: UScensus2010, Hmisc
Collate: 'DeducerSpatial-package.R' 'plot-util.R' 'census.R' 'zzz.R'
Packaged: 2013-04-12 20:41:39 UTC; ianfellows
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-13 20:38:11
Package: RSDA
Type: Package
Title: R to Symbolic Data Analysis
Version: 1.3
Date: 2015-11-01
Author: Oldemar Rodriguez R. with contributions from Olger Calderon, Roberto Zuniga and Jorge Arce
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
License: GPL (>= 2)
Depends: R (>= 2.10), XML, scales, ggplot2, princurve, sqldf
Imports: RJSONIO, glmnet, abind, scatterplot3d, graphics, stats, utils, FactoMineR
URL: http://www.oldemarrodriguez.com
NeedsCompilation: no
Packaged: 2015-11-03 21:27:05 UTC; oldemarrodriguez
Repository: CRAN
Date/Publication: 2015-11-04 01:10:28
Package: dslice
Type: Package
Title: Dynamic Slicing
Version: 1.1.5
Date: 2014-04-24
Author: Chao Ye and Bo Jiang
Maintainer: Chao Ye <yechao1009@gmail.com>
Description: Dynamic slicing is a method designed for dependency detection between a categorical variable and a continuous variable. It could be applied for non-parametric hypothesis testing and gene set enrichment analysis.
License: GPL (>= 2)
Depends: R (>= 2.10), stats, utils, Rcpp (>= 0.11.1), ggplot2 (>=
0.9.3.1), scales
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2015-11-16 13:48:15 UTC; yc
Repository: CRAN
Date/Publication: 2015-11-16 16:20:17
Package: ACSNMineR
Type: Package
Title: Gene Enrichment Analysis from ACSN Maps or GMT Files
Version: 0.16.01.29
Date: 2016-01-29
Authors@R: c(person("Paul", "Deveau", role = c("aut", "cre"),
email = "paul.deveau@curie.fr"),
person("Eric", "Bonnet",role = "aut",
email = "eric.bonnet@curie.fr"))
Maintainer: Paul Deveau <paul.deveau@curie.fr>
Description: Compute and represent gene set enrichment or depletion from your data based on pre-saved maps from the Atlas of Cancer Signalling Networks (ACSN) or user imported maps.
User imported maps must be complying with the GMT format as defined by the Broad Institute, that is to say that the file should be tab-separated, that the first column should contain the module name, the second column can contain comments that will be overwritten with the number of genes in the module, and subsequent columns must contain the list of genes (HUGO symbols; tab-separated) inside the module.
The gene set enrichment can be run with hypergeometric test or Fisher exact test, and can use multiple corrections.
Visualization of data can be done either by barplots or heatmaps.
Depends: R (>= 3.1.0), ggplot2, gridExtra, scales,
Suggests: knitr, rmarkdown,
License: GPL-2
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-02-12 10:01:07 UTC; User
Author: Paul Deveau [aut, cre],
Eric Bonnet [aut]
Repository: CRAN
Date/Publication: 2016-02-12 11:08:48
providing 
.