First release.

.Rbuildignore

+^.*\.Rproj$
+^\.Rproj\.user$
+^README\.Rmd$
+^README-.*\.png$
+^cran-comments.md

.gitignore

+.Rproj.user
+.Rhistory
+.RData

DESCRIPTION

+License: GPL-3
+LazyData: true
+Package: vocaldia
+Type: Package
+Title: Create and Manipulate Vocalisation Diagrams
+Version: 0.8.0
+Date: 2017-04-03
+Authors@R: person("Saturnino", "Luz", email = "luzs@acm.org", role = c("aut", "cre"))
+Description: Create adjacency
+  matrices of vocalisation graphs from dataframes containing sequences
+  of speech and silence intervals, transforming these matrices into
+  Markov diagrams, and generating datasets for classification of these
+  diagrams by 'flattening' them and adding global properties
+  (functionals) etc.  Vocalisation diagrams date back to early work in psychiatry
+  (Jaffe and Feldstein, 1970) and social psychology (Dabbs and Ruback,
+   1987) but have only recently been employed as a data representation
+   method for machine learning tasks including meeting
+   segmentation (Luz, 2012) <https://doi.org/10.1145/2328967.2328970>
+   and classification (Luz, 2013) <https://doi.org/10.1145/2522848.2533788>.
+Depends: R (>= 3.0.0)
+Suggests: igraph, foreign
+Imports: graphics
+RoxygenNote: 6.0.1.9000

NAMESPACE

+# Generated by roxygen2: do not edit by hand
+
+S3method(anonymise,default)
+S3method(anonymise,vocaldia)
+S3method(plot,matrixseries)
+S3method(plot,vocaldia)
+S3method(startmatrix,default)
+S3method(startmatrix,matrixseries)
+export(anonymise)
+export(getEntropy)
+export(getPauseType)
+export(getPofAgivenB)
+export(getSampledVocalCountMatrix)
+export(getSampledVocalMatrix)
+export(getTurnTakingMatrix)
+export(getTurnTakingProbMatrix)
+export(getTurnType)
+export(identifyGrpVocalisations)
+export(identifyPauses)
+export(identifyVocalisations)
+export(igraph.vocaldia)
+export(matrixExp)
+export(namePauses)
+export(printARFFfile)
+export(startmatrix)
+export(staticMatrix)
+export(toDotNotation)
+export(write.vocaldia)
+import(graphics)

README.Rmd

+---
+output: github_document
+title: "VOCALDIA package"
+bibliography: bibliography.bib
+---
+
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+
+```{r, echo = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  fig.path = "README-"
+)
+```
+# Header1 VOCALDIA
+
+This package contains function that create and manipulate vocalisation
+diagrams. Vocalisation diagrams date back to early work in psychiatry
+(Jaffe and Feldstein, 1970) and social psychology (Dabbs and Ruback,
+1987) but have only recently been employed as a data representation
+method for machine learning (Luz, 2013; Luz and Kane, 2009).
+
+This  provides a number of functions for generating
+vocalisation diagrams (vocaldias) from data frames containing, minimally, a
+column for start time of a vocalisation event (speech, silence,
+group-talk etc), a column for end time, and a column for the event
+identifier.
+
+Functions `getSampledVocalMatrix` and `getTurnTakingProbMatrix`
+generate alternative versions of adjacency matrices for
+vocaldias. `staticMatrix` generates steady state diagrams from a
+vocaldia. `printARFFfile` generates a 'flat' representation of
+vocaldias for classifier training and evaluation.
+

cran-comments.md

+## Test environments
+* Linux luzs 4.4.0-64-generic, R version 3.2.3
+* i386-w64-mingw32 (32-bit), R version 3.3.3
+
+## R CMD check results
+There were no ERRORs or WARNINGs. 
+
+There was 1 NOTE:
+
+* checking CRAN incoming feasibility ... NOTE
+Maintainer: 'Saturnino Luz <luzs@acm.org>'
+New submission

man/vocaldia-package.Rd

+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/vocalgraphs.R
+\docType{package}
+\name{vocaldia-package}
+\alias{vocaldia}
+\alias{vocaldia-package}
+\title{vocaldia: Create and Manipulate Vocalisation Diagrams}
+\description{
+Create adjacency
+matrices of vocalisation graphs from dataframes containing sequences
+of speech and silence intervals, transforming these matrices into
+Markov diagrams, and generating datasets for classification of these
+diagrams by 'flattening' them and adding global properties
+(functionals) etc.  Vocalisation diagrams date back to early work in psychiatry
+(Jaffe and Feldstein, 1970) and social psychology (Dabbs and Ruback,
+1987) but have only recently been employed as a data representation
+method for machine learning tasks including meeting
+segmentation (Luz, 2012) <https://doi.org/10.1145/2328967.2328970>
+and classification (Luz, 2013) <https://doi.org/10.1145/2522848.2533788>.
+}
+\references{
+S. Luz. Automatic identification of experts and performance
+  prediction in the multimodal math data corpus through analysis
+  of speech interaction. In \emph{Proceedings of the 15th ACM on
+  International Conference on Multimodal Interaction, ICMI'13},
+  pages 575--582, New York, NY, USA, 2013. ACM.
+
+  S. Luz. The non-verbal structure of patient case discussions in
+  multidisciplinary medical team meetings. \emph{ACM Transactions on
+  Information Systems}, 30(3):17:1--17:24, 2012
+
+  Dabbs, J. M. J. and Ruback, B. Dimensions of group process: Amount and
+  structure of vocal interaction. \emph{Advances in Experimental Social
+  Psychology} 20, 123-169, 1987.
+
+  Jaffe , J. and Feldstein, S. Rhythms of
+  dialogue. ser. \emph{Personality and Psychopathology}. Academic
+  Press, New York, 1976.
+}
+\author{
+Saturnino Luz \email{luzs@acm.org}
+}

vocaldia.Rproj

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