############ R script for preparing the data ######################
counts_data <- read.csv("../data/Counts_5_18_17.csv", row.names = 1)
sites_metadata <- read.csv("../data/Metadata_Him_Bird_Grids.csv", row.names = 1)
species_metadata <- read.csv("../data/Species_Morphology_Him_Counts.csv", row.names = 1)
counts_data_2 <- counts_data[match(rownames(sites_metadata), rownames(counts_data)),]
counts_data_3 <- counts_data_2[,match(rownames(species_metadata), colnames(counts_data_2))]
reads <- t(counts_data_3)
HimalayanBirdsData <- new("ExpressionSet",
exprs = as.matrix(reads),
phenoData = new("AnnotatedDataFrame",
data = sites_metadata),
featureData = new("AnnotatedDataFrame",
data = species_metadata),
experimentData = new("MIAME",
title = "Himalayan Birds Data"))
save(HimalayanBirdsData, file = "../data/HimalayanBirdsData.rda")
exprs(HimalayanBirdsData)
pData(phenoData(HimalayanBirdsData))
data <- get(load(system.file("extdata", "HimalayanBirdsData.rda",
package = "ecostructure")))
assayData(HimalayanBirdsData)
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