rasterPrep: Raster layer preparation

In Nina-Song/stJoincount: stJoincount - Join count statistic for quantifying spatial correlation between clusters

Raster layer preparation

Description

When sample coordinates finds a suitable buffer to ensure that each cluster is not lost in the process of converting the spot to pixel, apply this buffer to this function to find a suitable rectangle for the rasterlayer

Usage

rasterPrep(sampleInfo, n)

Arguments

sampleInfo

A data.frame contains the pixel information and cluster labels for each barcode of a human breast cancer sample. The index contains barcodes, and at least three other columns that have these information are required and the column names should be the same as following: "imagerow": The row pixel coordinate of the center of the spot "imagecol": The column pixel coordinate of the center of the spot "Cluster": The label that corresponding to this barcode

n

buffer for extent (from function extentBuffer).

Value

This function returns a class of RasterLayer. This is a raster layer with calculated resolution and extent with buffer applied

Examples

fpath <- system.file("extdata", "dataframe.rda", package="stJoincount")
load(fpath)
raster <- rasterPrep(humanBC, 15)

Nina-Song/stJoincount documentation built on Oct. 23, 2022, 4:55 p.m.