First descriptive analyzes of the acoustic indices of the PROTOCOLE_1 data
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ANALYSES_P1.R
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40
ANALYSES_P1.R
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setwd("G:/STAGE/4-ANALYSES/3-ANALYSES_DONNEES")
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library(data.table)
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library(tidyverse)
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TC<-"oui" #si la table complète n'est pas existante, écrire "non"
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#### CREATION DE LA TABLE COMPLETE ####
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if (TC=="non") {
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setwd("G:/STAGE/3-DONNEES/PROTOCOLE_1/2-INDICES_CLUSTER")
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data_1<-list.files(pattern = "*.csv") %>% map_df(~fread(.))
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data_sep1<-separate(data = data_1, col = ID,
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into = c("CODE_SITE","SM4_NUM","DATE","HEURE","SEQ"), sep = "_")
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data_sep1$HEURE<-gsub('.wav','',data_sep1$HEURE)
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data<-data_sep1
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data$DISTANCE<-data$CODE_SITE
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data$DISTANCE<-gsub('[A-Z]','', data$DISTANCE)
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data$DISTANCE<-gsub('2','200',data$DISTANCE)
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data$DISTANCE<-gsub('6','600',data$DISTANCE)
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write.table(data, "G:/STAGE/4-ANALYSES/3-ANALYSES_DONNEES/TABLE_COMPLETE_INDICES.csv", sep=";",
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row.names = F)
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}
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#### ANALYSES SUR TABLE COMPLETE ####
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rm(list=ls())
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setwd("G:/STAGE/4-ANALYSES/3-ANALYSES_DONNEES")
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data<-read.table("TABLE_COMPLETE_INDICES.csv", h=T, sep=";")
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#data$HEURE<-gsub("140001","140000",data$HEURE)
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data200<-subset(data,data$DISTANCE=="200")
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data600<-subset(data,data$DISTANCE=="600")
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x11()
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par(mfrow=c(2,1))
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boxplot(data200$Bioac_left~data200$HEURE)
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boxplot(data600$Bioac_left~data600$HEURE)
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boxplot(data200$Bioac_left)
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boxplot(data600$Bioac_left)
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