Last data update: 2014.03.03

VWPre

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

● 0 images, 24 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'VWPre' ...
** package 'VWPre' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'VWPre'
    finding HTML links ... done
    VWPre                                   html  
    VWdat                                   html  
    bin_prop                                html  
    check_eye_recording                     html  
    check_ia                                html  
    check_samples_per_bin                   html  
    check_samplingrate                      html  
    check_time_series                       html  
    create_binomial                         html  
    create_time_series                      html  
    ds_options                              html  
    fasttrack                               html  
    plot_avg                                html  
    plot_avg_contour                        html  
    plot_avg_diff                           html  
    plot_indiv_app                          html  
    plot_transformation_app                 html  
    plot_var_app                            html  
    prep_data                               html  
    recode_ia                               html  
    relabel_na                              html  
    rename_columns                          html  
    select_recorded_eye                     html  
    transform_to_elogit                     html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (VWPre)
Making 'packages.html' ... done