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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