sentinelS: Sentinel Values for Recipes

R: Sentinel Values for Recipes
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

sentinels: Sentinel identification from GWAS summary statistics

R: Sentinel identification from GWAS summary statistics
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

emmanuelparadis/sentinel: Sentinel

Package: sentinel
Version: 0.2
Date: 2024-01-28

Sentinel-class: Sentinel class

R: Sentinel class
Sentinel-classR Documentation
Sentinel class

Sentinel-class: Sentinel class

R: Sentinel class
Sentinel-classR Documentation
Sentinel class

bmjesus/sentinel: Selects and downloads Sentinel images that coincide with low tide periods

Package: sentinel
Type: Package
Title: Selects and downloads Sentinel images that coincide with low tide periods

alxsully/Sentinel: Test package for Seurat helper functions

Package: Sentinel
Title: Test package for Seurat helper functions
Version: 1.0.0

WerthPADOH/sentinel: Class for numeric values with different types of missing

Package: sentinel
Type: Package
Title: Class for numeric values with different types of missing

Sentinel/R/Seurat_to_cds.R:

#'Seurat to cell data set conversion function.
#'This function takes

R/SENTINEL-2Processing.R:

test = function(link,image){
shape = rgdal::readOGR(dsn = link, layer

code/030-sentinel-processing.R:

sentinel_processing_plan <- drake_plan(
# load area of interest

vignettes/Sentinel-Readr.Rmd:

title: "SentinelReadr"
author: "Pieta Schofield"
date: "`r Sys.Date

R/04-fun-sentinel-processing.R:

(`character`)\cr  Which Sentinel processing level to use
#' @return `list` of available records
#' @export

R/nkbc-kir-sentinel-node-26.R:

#' @export
nkbc26 <- list(
code = "nkbc26",

sentinel.read: Read Sentinel

R: Read Sentinel
sentinel.readR Documentation
Read Sentinel

sentinel.crop: Crop Sentinel

R: Crop Sentinel
sentinel.cropR Documentation
Crop Sentinel