Package: mosaic
Type: Package
Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Version: 0.14
Date: 2016-06-15
Depends: R (>= 3.0.0), dplyr, lattice (>= 0.20-21), ggplot2, mosaicData, Matrix
Imports: lazyeval (>= 0.1.10.9000), MASS, grid, reshape2, readr, methods, utils, splines, latticeExtra, ggdendro, gridExtra
Suggests: lubridate, fastR, magrittr, NHANES, RCurl, sp, maptools, vcd, testthat, tidyr, knitr, tools, parallel, mapproj, rgl, rmarkdown
Enhances: manipulate
VignetteBuilder: knitr
Author: Randall Pruim <rpruim@calvin.edu>, Daniel T. Kaplan
<kaplan@macalester.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>
Description: Data sets and utilities from Project MOSAIC (mosaic-web.org) used
to teach mathematics, statistics, computation and modeling. Funded by the
NSF, Project MOSAIC is a community of educators working to tie together
aspects of quantitative work that students in science, technology,
engineering and mathematics will need in their professional lives, but
which are usually taught in isolation, if at all.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
URL: https://github.com/ProjectMOSAIC/mosaic
BugReports: https://github.com/ProjectMOSAIC/mosaic/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-15 16:27:35 UTC; rpruim
Repository: CRAN
Date/Publication: 2016-06-16 05:28:07
Package: manifestoR
Title: Access and Process Data and Documents of the Manifesto Project
Date: 2016-06-20
Version: 1.2.1
Authors@R: c(person("Jirka", "Lewandowski",
role = c("aut", "cre"),
email = "jirka.lewandowski@wzb.eu"),
person("Nicolas", "Merz",
role = c("aut"),
email = "nicolas.merz@wzb.eu"),
person("Sven", "Regel",
role = c("ctb"),
email = "sven.regel@wzb.eu"),
person("Pola", "Lehmann",
role = c("ctb"),
email = "pola.lehmann@wzb.eu"))
Description: Provides access to coded election programmes from the Manifesto
Corpus and to the Manifesto Project's Main Dataset and routines to analyse this
data. The Manifesto Project (https://manifesto-project.wzb.eu) collects and
analyses election programmes across time and space to measure the political
preferences of parties. The Manifesto Corpus contains the collected and
annotated election programmes in the Corpus format of the package 'tm' to enable
easy use of text processing and text mining functionality. Specific functions
for scaling of coded political texts are included.
Depends: R (>= 3.1.0), NLP (>= 0.1-3), tm (>= 0.6), dplyr (>= 0.4.3)
Imports: utils, stats, magrittr, httr (>= 1.0.0), jsonlite (>= 0.9.12), functional (>= 0.6), zoo (>= 1.7-11), psych, base64enc
Suggests: knitr, rmarkdown, testthat, R.rsp, haven, readxl, devtools
(>= 1.7.0)
VignetteBuilder: R.rsp
Collate: manifestoR-package.r globals.R pipe_helpers.R cache.R db_api.R
corpus.R manifesto.R codes.R scaling_general.R scaling_rile.R
scaling_functions.R issue_attention.R nicheness.R clarity.R
scaling_bootstrap.R dataset.R
License: GPL (>= 3)
URL: https://github.com/ManifestoProject/manifestoR,
https://manifesto-project.wzb.eu/
BugReports: https://github.com/ManifestoProject/manifestoR/issues
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-22 16:11:00 UTC; manifesto
Author: Jirka Lewandowski [aut, cre],
Nicolas Merz [aut],
Sven Regel [ctb],
Pola Lehmann [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>
Repository: CRAN
Date/Publication: 2016-06-23 01:04:20
Package: PogromcyDanych
Type: Package
Title: PogromcyDanych / DataCrunchers is the Masive Online Open Course
that Brings R and Statistics to the People
Version: 1.5
Date: 2015-02-05
Author: Przemyslaw Biecek
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Description: The data sets used in the online course ,,PogromcyDanych''. You can process data in many ways. The course Data Crunchers will introduce you to this variety. For this reason we will work on datasets of different size (from several to several hundred thousand rows), with various level of complexity (from two to two thousand columns) and prepared in different formats (text data, quantitative data and qualitative data). All of these data sets were gathered in a single big package called PogromcyDanych to facilitate access to them. It contains all sorts of data sets such as data about offer prices of cars, results of opinion polls, information about changes in stock market indices, data about names given to newborn babies, ski jumping results or information about outcomes of breast cancer patients treatment.
LazyLoad: yes
LazyData: yes
License: GPL-3
Depends: R (>= 3.0), dplyr, SmarterPoland
Packaged: 2015-02-27 08:10:32 UTC; pbiecek
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-02 00:56:05
Package: GenCAT
Type: Package
Title: Genetic Class Association Testing
Version: 1.0.3
Date: 2016-06-10
Author: Eric Reed, Sara Nunez, Jing Qian, Andrea Foulkes
Maintainer: Eric Reed <reeder@bu.edu>
Description: Implementation of the genetic class level association testing (GenCAT) method from SNP level association data. Refer to: "Qian J, Nunez S, Reed E, Reilly MP, Foulkes AS (2016) <DOI:10.1371/journal.pone.0148218> A Simple Test of Class-Level Genetic Association Can Reveal Novel Cardiometabolic Trait Loci. PLoS ONE 11(2): e0148218".
Suggests: snpStats, knitr
Depends: R (>= 2.10), stats, dplyr, doParallel, ggplot2, foreach, parallel, methods
License: GPL-2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-10 17:31:06 UTC; ericreed
Repository: CRAN
Date/Publication: 2016-06-10 23:12:38
Package: etl
Type: Package
Title: Extract-Transfer-Load Framework for Medium Data
Version: 0.3.1
Date: 2016-06-07
Authors@R: c(
person("Ben", "Baumer", email = "ben.baumer@gmail.com",
role = c("aut", "cre")),
person("Carson", "Sievert", email = "cpsievert1@gmail.com", role = "ctb"))
Maintainer: Ben Baumer <ben.baumer@gmail.com>
Description: A framework for loading medium-sized data from
the Internet to a local or remote relational database management system.
This package itself doesn't do much more than provide a toy example and set up
the method structure. Packages that depend on this package will facilitate the
construction and maintenance of their respective databases.
License: CC0
LazyData: TRUE
Imports: DBI, datasets, methods, utils
Depends: R (>= 2.10), dplyr
Suggests: knitr, RSQLite, RPostgreSQL, RMySQL, testthat
URL: http://github.com/beanumber/etl
BugReports: https://github.com/beanumber/etl/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-08 01:42:33 UTC; bbaumer
Author: Ben Baumer [aut, cre],
Carson Sievert [ctb]
Repository: CRAN
Date/Publication: 2016-06-08 05:47:00
Package: efreadr
Type: Package
Title: Read European Fluxes CSV Files
Version: 0.1.1
Date: 2016-03-12
Authors@R: c(person("Marco", "Bascietto", role = c("aut", "cre"),
email = "marco.bascietto@crea.gov.it"))
Description: The European Eddy Fluxes Database Cluster distributes fluxes of different Green House Gases measured mainly using the eddy covariance technique acquired in sites involved in EU projects but also single sites in Europe, Africa and others continents that decided to share their measurements in the database (cit. http://gaia.agraria.unitus.it ). The package provides two functions to load and row-wise bind CSV files distributed by the database. Currently only L3 and L4 (L=Level), half-hourly and daily (aggregation) files are supported.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 3.2.0), readr, dplyr, ensurer, magrittr
NeedsCompilation: no
Packaged: 2016-03-12 08:32:28 UTC; bask
Author: Marco Bascietto [aut, cre]
Maintainer: Marco Bascietto <marco.bascietto@crea.gov.it>
Repository: CRAN
Date/Publication: 2016-03-12 09:35:22
Package: VWPre
Type: Package
Title: Tools for Preprocessing Visual World Data
Version: 0.7.0
Date: 2016-06-14
Authors@R: c(person("Vincent", "Porretta", role = c("aut", "cre"),
email = "vincentporretta@gmail.com"),
person("Aki-Juhani", "Kyröläinen", role = "aut"),
person("Jacolien", "van Rij", role = "ctb"),
person("Juhani", "Järvikivi", role = "ctb"))
Author: Vincent Porretta [aut, cre],
Aki-Juhani Kyröläinen [aut],
Jacolien van Rij [ctb],
Juhani Järvikivi [ctb]
Maintainer: Vincent Porretta <vincentporretta@gmail.com>
Description: Gaze data from the Visual World Paradigm requires significant
preprocessing prior to plotting and analyzing the data. This package
provides functions for preparing visual world eye-tracking data for
statistical analysis and plotting. It can prepare data for linear
analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as
well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM).
Additionally, it contains various plotting functions for creating grand average and
conditional average plots. See the vignette for samples of the functionality.
Currently, the functions in this package are designed for handling data
collected with SR Research Eyelink eye trackers using Sample Reports created
in SR Research Data Viewer; however, in subsequent releases we would like
to add functionality for data collected with other systems.
Depends: R (>= 3.2.4), dplyr (>= 0.4.3), lazyeval (>= 0.1.10), ggplot2
(>= 2.1.0)
Imports: mgcv (>= 1.8-12), shiny (>= 0.13.2), tidyr (>= 0.4.1)
License: GPL (>= 2)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-18 20:52:01 UTC; akkyro
Repository: CRAN
Date/Publication: 2016-06-19 09:47:47
providing 
.