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Showing content from http://cran.rstudio.com/web/packages/Hmisc/../ggplot2/../spatialTIME/readme/README.html below:

README

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

You can install spatialTIME from GitHub with:

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

spatialTIME currently implements both univariate and bi-variate Ripley’s K analyses. The basis of the spatialTIME functions is the creation of the mif object.

x <- create_mif(clinical_data = example_clinical,
                sample_data = example_summary,
                spatial_list = example_spatial,
                patient_id = "deidentified_id", sample_id = "deidentified_sample",
                clean_columns = TRUE)
x
## 229 patients spanning 229 samples and 5 spatial data frames were found

For a more in-depth description of the methods used, please see the included vignette.

For a point-and-click resource that performs related analyses please check out iTIME.

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