Package: svs 3.1.1

svs: Tools for Semantic Vector Spaces

Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.

Authors:Koen Plevoets [aut, cre]

svs_3.1.1.tar.gz
svs_3.1.1.zip(r-4.5)svs_3.1.1.zip(r-4.4)svs_3.1.1.zip(r-4.3)
svs_3.1.1.tgz(r-4.4-any)svs_3.1.1.tgz(r-4.3-any)
svs_3.1.1.tar.gz(r-4.5-noble)svs_3.1.1.tar.gz(r-4.4-noble)
svs_3.1.1.tgz(r-4.4-emscripten)svs_3.1.1.tgz(r-4.3-emscripten)
svs.pdf |svs.html✨
svs/json (API)

# Install 'svs' in R:
install.packages('svs', repos = c('https://kplevoet.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

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

58 exports 0.09 score 3 dependencies 31 scripts 938 downloads

Last updated 3 months agofrom:89a8d07a85. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:cd_plotcenters_cacomplete_pvpickdat2dcdat2ddcdat2inddist_chisqdist_chisquaredist_cosdist_cosinedist_wrtdist_wrt_centersfast_dcafast_E_Mfast_EMfast_lcafast_lmafast_lrafast_lsafast_lsifast_mcafast_nmffast_nmf_Alfast_nmf_Frfast_nmf_KLfast_plsafast_plsifast_psafast_psifast_rcafast_scafreq_cagw_bingw_entgw_gfidfgw_idfgw_idf_altgw_norgw_rawlayout4bipartitelayout4diagramlog_or_0lw_binlw_loglw_rawlw_tfmiMIouterecpc_plotpmiPMIrep4dattab2dattab2indvec2dcvec2ddcvec2ind

Dependencies:gtoolslatticeMatrix

Readme and manuals

Help Manual

Help pageTopics
Tools for Semantic Vector Spacessvs-package
Plotting a Cumulative Distributioncd_plot
Compute Coordinates for Cluster Centerscenters_ca
Complete the Output of 'pvpick'complete_pvpick
Context Words for seventeen Dutch WordsCtxt_Dut.txt
Context Words for seventeen Dutch Words Translated from FrenchCtxt_Eng.txt
Context Words for seventeen Dutch Words Translated from FrenchCtxt_Fra.txt
Transform a Data Frame into a Double-Coded Matrixdat2dc dat2ddc
Transform a Data Frame into an Indicator Matrixdat2ind
Compute Chi-square Distancesdist_chisq dist_chisquare
Compute Cosine Distancesdist_cos dist_cosine
Compute Distances with respect to a certain Pointdist_wrt
Compute Distances with respect to Cluster Centersdist_wrt_centers
Discriminant Correspondence Analysisfast_dca
EM clusteringfast_EM fast_E_M
Latent Class Analysisfast_lca
Log-Multiplicative Association Analysisfast_lma fast_rca
Logratio Analysisfast_lra
Latent Semantic Analysisfast_lsa fast_lsi
Multiple Correspondence Analysisfast_mca
Non-negative Matrix Factorizationfast_nmf fast_nmf_Al fast_nmf_Fr fast_nmf_KL
Probabilistic Latent Semantic Analysisfast_plsa fast_plsi fast_psa fast_psi
Simple Correspondence Analysisfast_sca
Compute Level Frequencies (for a Factor or Vector)freq_ca
Seventeen Dutch Target Words and their English Source WordsInvT_Eng.txt
Seventeen Dutch Target Words and their French Source WordsInvT_Fra.txt
Create a Layout Matrix for a Bipartite Graphlayout4bipartite layout4diagram
Logarithmic transformlog_or_0
Mutual InformationMI mi
Recursive Application of the Outer Productouterec
Plotting Parallel Coordinatespc_plot
Pointwise Mutual InformationPMI pmi
Repeat the Rows of a Data Frame according to a Frequency Columnrep4dat
Seventeen Dutch Source Words and their English TranslationsSndT_Eng.txt
Seventeen Dutch Source Words and their French TranslationsSndT_Fra.txt
Transform a Table into a Data Frametab2dat
Transform a Table into an Indicator Matrixtab2ind
Transform a Vector into a Double-Coded Matrixvec2dc vec2ddc
Transform a Vector into an Indicator Matrixvec2ind
Weighting Functionsgw_bin gw_ent gw_gfidf gw_idf gw_idf_alt gw_nor gw_raw lw_bin lw_log lw_raw lw_tf weighting_functions