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The goal of spatialTIME
is to perform basic analysis and plotting of IF data from Vectra.
You can install spatialTIME
from GitHub with:
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.