Package: spatialTIME 1.3.4-5
Fridley Lab
spatialTIME: Spatial Analysis of Vectra Immunoflourescent Data
Visualization and analysis of Vectra Immunoflourescent data. Options for calculating both the univariate and bivariate Ripley's K are included. Calculations are performed using a permutation-based approach presented by Wilson et al. <doi:10.1101/2021.04.27.21256104>.
Authors:
spatialTIME_1.3.4-5.tar.gz
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spatialTIME_1.3.4-5.tgz(r-4.4-any)spatialTIME_1.3.4-5.tgz(r-4.3-any)
spatialTIME_1.3.4-5.tar.gz(r-4.5-noble)spatialTIME_1.3.4-5.tar.gz(r-4.4-noble)
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spatialTIME.pdf |spatialTIME.html✨
spatialTIME/json (API)
# Install 'spatialTIME' in R: |
install.packages('spatialTIME', repos = c('https://fridleylab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fridleylab/spatialtime/issues
- example_clinical - Clinical variables of 229 patients
- example_spatial - Example list of 5 spatial TMA data
- example_summary - Marker summaries of 229 samples
Last updated 4 months agofrom:391197e34d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:%>%bi_NN_Gbi_pair_correlationbi_ripleys_kbi_ripleys_k_WSIcreate_mifdixons_sinteraction_variablemerge_mifsNN_Gpair_correlationplot_immunofloripleys_ksubset_mif
Dependencies:abindclicodetoolscolorspacecpp11crayondeldirdigestdixondplyrfansifarverfurrrfuturegenericsggplot2globalsgluegoftestgtableisobandlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypbmcapplypillarpkgconfigpolyclippurrrR6RColorBrewerrlangrpartscalesspspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssplancsstringistringrtensortibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bivariate Nearest Neighbor G(r) | bi_NN_G |
Bivariate Pair Correlation Function | bi_pair_correlation |
Bivariate Ripley's K | bi_ripleys_k |
Bivariate Ripley's K for Whole Slide Images | bi_ripleys_k_WSI |
Calculate Count Based Measures and NN Measures of Spatial Clustering for IF data | compute_metrics |
Create Multiplex Immunoflourescent object | create_mif |
Dixon's S Segregation Statistic | dixons_s |
Clinical variables of 229 patients | example_clinical |
Example list of 5 spatial TMA data | example_spatial |
Marker summaries of 229 samples | example_summary |
Bivariate Interaction Variable | interaction_variable |
Merge several MIF objects together | merge_mifs |
Univariate Nearest Neighbor G(r) | NN_G |
Univariate Pair Correlation Function | pair_correlation |
Generate plot of TMA point process | plot_immunoflo |
Calculate Ripley's K | ripleys_k |
Subset mif object on cellular level | subset_mif |