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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# 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.

1.70 score 157 downloads 4 exports 70 dependencies

Last updated 3 months agofrom:8c1d825d86. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 30 2024
R-4.5-win	OK	Oct 30 2024
R-4.5-linux	OK	Oct 30 2024
R-4.4-win	NOTE	Oct 30 2024
R-4.4-mac	NOTE	Oct 30 2024
R-4.3-win	NOTE	Oct 30 2024
R-4.3-mac	NOTE	Oct 30 2024

Exports:clusterImage estimate_participant generate_norms WordListsAnalytics

Dependencies:base64enc bit bit64 bslib cachem cli clipr colorspace commonmark cpp11 crayon digest dplyr fansi farver fastmap fontawesome fs generics ggplot2 glue gtable hms htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle lsa magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig plyr prettyunits progress promises R6 rappdirs RColorBrewer Rcpp readr reshape2 rlang 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

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Help Manual

Usage by other packages (reverse dependencies)