Package: WordListsAnalytics 0.2.4

WordListsAnalytics: Multiple Data Analysis Tools for Property Listing Tasks

Application to estimate statistical values using properties provided by a group of individuals to describe concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate the probability that two persons describe the same words based on their descriptions Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.

Authors:Sebastian Moreno [aut, cre], Cristobal Heredia [aut], Enrique Canessa [ths], Sergio Chaigneau [ths]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
WordListsAnalytics/json (API)

# Install 'WordListsAnalytics' in R:

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

Datasets:

CPN_120 - CPN Example data
CPN_27 - CPN Example data

On CRAN:

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

1.00 score 5 scripts 245 downloads 4 exports 64 dependencies

Last updated from:8c1d825d86. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	188
source / vignettes	OK	226
linux-release	OK	149
macos-release	OK	159
macos-oldrel	OK	206
windows-devel	OK	76
windows-release	OK	72
windows-oldrel	OK	93
wasm-release	OK	123

Exports:clusterImage estimate_participant generate_norms WordListsAnalytics

Dependencies:base64enc bit bit64 bslib cachem cli clipr commonmark cpp11 crayon digest dplyr farver fastmap fontawesome fs generics ggplot2 glue gtable hms htmltools httpuv isoband jquerylib jsonlite labeling later lifecycle lsa magrittr memoise mime otel pillar pkgconfig plyr prettyunits progress promises R6 rappdirs RColorBrewer Rcpp readr reshape2 rlang S7 sass scales shiny SnowballC sourcetools stringi stringr tibble tidyselect tzdb utf8 vctrs viridisLite vroom withr xtable

Help page	Topics
This function receives a property listing task, a given concept, and a threshold. It clusterizes the data according to the order of the listed properties. Given the mentioned properties of all users for a specific concept, the algorithm estimates a similarity among properties, based on the number of words mentioned between properties. For example, if the properties A and B are usually mentioned one after another, their similarity will be higher than the properties A and C which are usually not even mentioned together. The properties with low similarity to all other properties (below the user-defined threshold) are discarded from the plot.	clusterImage
CPN Example data	CPN_120
CPN Example data	CPN_27
Estimate the number of people needed and expected number of unique properties for a determined coverage based on the estimated norms	estimate_participant
Calculate all the norms from a Conceptual properties	generate_norms
PLT App function	WordListsAnalytics

Package: WordListsAnalytics 0.2.4

WordListsAnalytics: Multiple Data Analysis Tools for Property Listing Tasks

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)