Package: PRISMA 0.2-7

Tammo Krueger

PRISMA: Protocol Inspection and State Machine Analysis

Loads and processes huge text corpora processed with the sally toolbox (<http://www.mlsec.org/sally/>). sally acts as a very fast preprocessor which splits the text files into tokens or n-grams. These output files can then be read with the PRISMA package which applies testing-based token selection and has some replicate-aware, highly tuned non-negative matrix factorization and principal component analysis implementation which allows the processing of very big data sets even on desktop machines.

Authors:Tammo Krueger, Nicole Kraemer

PRISMA_0.2-7.tar.gz
PRISMA_0.2-7.tar.gz(r-4.5-noble)PRISMA_0.2-7.tar.gz(r-4.4-noble)
PRISMA_0.2-7.tgz(r-4.4-emscripten)PRISMA_0.2-7.tgz(r-4.3-emscripten)
PRISMA.pdf |PRISMA.html✨
PRISMA/json (API)

# Install 'PRISMA' in R:

install.packages('PRISMA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

asap - The ASAP Data Set
thesis - The Thesis Data Set

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.70 score 244 downloads 9.8k mentions 13 exports 33 dependencies

Last updated 7 years agofrom:4e334cb8c2. Checks:3 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 19 2025
R-4.5-linux	OK	Mar 19 2025
R-4.4-linux	OK	Mar 19 2025

Exports:corpusToPrisma estimateDimension getDuplicateData getMatrixFactorizationLabels loadPrismaData plot.prisma plot.prismaDimension plot.prismaMF print.prisma print.prismaDimension prismaDuplicatePCA prismaHclust prismaNMF

Dependencies:bitops caTools cli colorspace fansi farver ggplot2 glue gplots gtable gtools isoband KernSmooth labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig R6 RColorBrewer rlang scales tibble utf8 vctrs viridisLite withr

Quick introduction

Rendered fromPRISMA.Rnwusingutils::Sweaveon Mar 19 2025.

Last update: 2013-12-10
Started: 2013-12-10

Citation

To cite package ‘PRISMA’ in publications use:

Krueger T, Kraemer N (2018). PRISMA: Protocol Inspection and State Machine Analysis. R package version 0.2-7, https://CRAN.R-project.org/package=PRISMA.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry:

  @Manual{,
    title = {PRISMA: Protocol Inspection and State Machine Analysis},
    author = {Tammo Krueger and Nicole Kraemer},
    year = {2018},
    note = {R package version 0.2-7},
    url = {https://CRAN.R-project.org/package=PRISMA},
  }

Readme and manuals

PRISMA

Protocol Inspection and State Machine Analysis

The package PRISMA is hosted on CRAN, so

install.packages("PRISMA")
library(PRISMA)
example(PRISMA)
vignette("PRISMA")

will give you a first impression.

Help Manual

Help page	Topics
Protocol Inspection and State Machine Analysis	PRISMA-package PRISMA
The ASAP Data Set	asap
Convert tm copus to PRISMA	corpusToPrisma
Estimate Inner Dimension	estimateDimension
Restores Data with Duplicates	getDuplicateData
Convert Coordinates of Matrix Factorization to Labels	getMatrixFactorizationLabels
Load PRISMA Data Files	loadPrismaData
Generics For PRISMA Objects	plot.prisma print.prisma
Generics For PRISMA Objects	plot.prismaDimension print.prismaDimension
Generics For PRISMA Objects	plot.prismaMF
Matrix Factorization Based on Replicate-Aware PCA	prismaDuplicatePCA
Matrix Factorization Based on Hierarchical Clustering	prismaHclust
Matrix Factorization Based on Replicate-Aware NMF	prismaNMF
The Thesis Data Set	thesis