comparison nb_clust_G.R @ 1:9dc992f80c25 draft

planemo upload for repository https://github.com/galaxyecology/tools-ecology/tree/master/tools/Ecoregionalization_workflow commit 459ba1277acd7d8d4a02f90dbd7ff444bf8eac92
author ecology
date Wed, 24 Jan 2024 15:52:43 +0000
parents e3cd588fd14a
children
comparison
equal deleted inserted replaced
0:e3cd588fd14a 1:9dc992f80c25
19 sample <- as.numeric(args[6]) 19 sample <- as.numeric(args[6])
20 } 20 }
21 21
22 #load data 22 #load data
23 23
24 env.data <- read.table(enviro, header = TRUE, dec = ".", na.strings = "-9999.00") 24 env.data <- read.table(enviro, sep="\t", header = TRUE, dec = ".", na.strings = "-9999")
25 25
26 ##List of modelled taxa used for clustering 26 ##List of modelled taxa used for clustering
27 tv <- read.table(taxa_list, dec=".", sep=" ", header=F, na.strings = "NA") 27 tv <- read.table(taxa_list, dec=".", sep=" ", header=F, na.strings = "NA")
28 names(tv) <- c("a") 28 names(tv) <- c("a")
29 29
31 31
32 data_split = str_split(preds,",") 32 data_split = str_split(preds,",")
33 data.bio = NULL 33 data.bio = NULL
34 34
35 for (i in 1:length(data_split[[1]])) { 35 for (i in 1:length(data_split[[1]])) {
36 data.bio1 <- read.table(data_split[[1]][i], dec=".", sep=" ", header=T, na.strings = "NA") 36 data.bio1 <- read.table(data_split[[1]][i], dec=".", sep="\t", header=T, na.strings = "NA")
37 data.bio <- rbind(data.bio,data.bio1) 37 data.bio <- rbind(data.bio,data.bio1)
38 remove(data.bio1) 38 remove(data.bio1)
39 } 39 }
40 40
41 names(data.bio) <- c("lat", "long", "pred", "taxon") 41 names(data.bio) <- c("lat", "long", "pred", "taxon")
67 sih_values[k] <- clara_res$silinfo$avg.width 67 sih_values[k] <- clara_res$silinfo$avg.width
68 } 68 }
69 69
70 # Plot SIH Index Chart by Number of Clusters 70 # Plot SIH Index Chart by Number of Clusters
71 png("Indices_SIH.png") 71 png("Indices_SIH.png")
72 plot(2:max_k, sih_values[2:max_k], type = "b", xlab = "Nombre de clusters", ylab = "Indice SIH") 72 plot(2:max_k, sih_values[2:max_k], type = "b", xlab = "Number of clusters", ylab = "SIH index")
73 dev.off() 73 dev.off()