
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 foundFor 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.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.