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spatialTIME

The goal of spatialTIME is to perform basic analysis and plotting of IF data from Vectra.

Installation

You can install spatialTIME from GitHub with:

# install.packages("devtools")
devtools::install_github("fridleylab/spatialTIME")

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Version

Install

install.packages('spatialTIME')

Monthly Downloads

725

Version

1.3.4-4

License

MIT + file LICENSE

Issues

3

Pull Requests

2

Stars

5

Forks

5

Maintainer

Fridley Lab

Last Published

May 30th, 2024

Functions in spatialTIME (1.3.4-4)

interaction_variable

Bivariate Interaction Variable
example_summary

Marker summaries of 229 samples
bi_NN_G

Bivariate Nearest Neighbor G(r)
bi_ripleys_k

Bivariate Ripley's K
create_mif

Create Multiplex Immunoflourescent object
example_clinical

Clinical variables of 229 patients
NN_G

Univariate Nearest Neighbor G(r)
bi_ripleys_k_WSI

Bivariate Ripley's K for Whole Slide Images
compute_metrics

Calculate Count Based Measures and NN Measures of Spatial Clustering for IF data
dixons_s

Dixon's S Segregation Statistic
bi_pair_correlation

Bivariate Pair Correlation Function
example_spatial

Example list of 5 spatial TMA data
merge_mifs

Merge several MIF objects together
subset_mif

Subset mif object on cellular level
ripleys_k

Calculate Ripley's K
pair_correlation

Univariate Pair Correlation Function
%>%

Pipe operator
plot_immunoflo

Generate plot of TMA point process