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RClimTool_v2_beta.R
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RClimTool_v2_beta.R
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# Inicio configuración sesión de R ----------------------------------------
.First <- function()
{
options("repos" = c(CRAN = "https://www.icesi.edu.co/CRAN/"))
options(warn = -1)
options(scipen = 999)
options("guiToolkit"="RGtk2") #Selecciona las herramientas para la interfaz grafica
options(tab.width = 2)
options(width = 130)
options(max.print = 100)
library2 <<- function(a.package){
suppressWarnings(suppressPackageStartupMessages(
library(a.package, character.only = TRUE)))
}
# Inicio código funciones e interfaz RClimTool ----------------------------
rclimtool <<- function(){
# IMPORTANTE LEER!!!!
# Escriba la ubicación de la carpeta con los archivos de la herramienta
dir <- "C:/Users/lllanos/Desktop/RClimTool V2.0"
# Paquetes necesarios para correr la aplicación ---------------------------
library2("ggplot2") #Este paquete sirve para realizar gráficos más elaborados
library2("rtf") #con este paquete se genera el informe automático en Word
library2("gWidgets") #Paquete para generar interfaz grafica
library2("gWidgetsRGtk2") #Paquete para generar interfaz grafica
library2("RMAWGEN") #Este realiza la funcion del llenado de datos
library2("Kendall") #Necesario para correr la prueba de Mann-Kendall
library2("tseries") #Prueba jarque bera
library2("grid") #para crear división de gráficos ggplot2
library2("car") #para recodificar variables
library2("reshape") #para modificar base de datos para gráficos ggplot2
library2("DescTools") #Prueba no paramétrica Siegel Tukey para igualdad de varianzas
# Funciones básicas -------------------------------------------------------
min2 <- function(a,na.rm = T){
return(min(a,na.rm = T))
}
max2 <- function(a,na.rm = T){
return(max(a,na.rm = T))
}
mean2 <- function(a,na.rm = T){
return(mean(a,na.rm = T))
}
sd2 <- function(a,na.rm = T){
return(sd(a,na.rm = T))
}
sum2 <- function(a,na.rm = any(!is.na(a))){
return(sum(a,na.rm = any(!is.na(a))))
}
sum22 <- function(a,na.rm=T){
na.x=sum(is.na(a))/length(a)
if(na.x>=0.2){
x=NA
}else{x=sum2(a)}
return(x)
}
# Funciones para cargar datos ---------------------------------------------
sep_d <- function(...){
if(svalue(sep)==","){
read.csv_n=function(x,...)read.csv2(x,...)
write.csv_n=function(x,...)write.csv2(x,...)
}
if(svalue(sep)=="."){
read.csv_n=function(x,...)read.csv(x,...)
write.csv_n=function(x,...)write.csv(x,...)
}
assign("read.csv_n",read.csv_n,envir = .GlobalEnv)
assign("write.csv_n",write.csv_n,envir = .GlobalEnv)
}
load_tmin <- function(){
tmin=read.table(gfile("Seleccione el archivo de temperatura mínima"),dec = Sys.localeconv(),header=T)
assign("tmin",tmin,.GlobalEnv)
}
load_tmax <- function(){
tmax=read.table(gfile("Seleccione el archivo de temperatura máxima"),dec = Sys.localeconv(),header=T)
assign("tmax",tmax,.GlobalEnv)
}
load_precip <- function(){
prec=read.table(gfile("Seleccione el archivo de precitación"),dec = Sys.localeconv(),header=T)
assign("prec",prec,.GlobalEnv)
}
#Función para sacar barra de progreso
sapply_pb <- function(X, FUN, ...) {
env <- environment()
pb_Total <- length(X)
counter <- 0
pb <- txtProgressBar(min = 0, max = pb_Total, style = 3)
wrapper <- function(...){
curVal <- get("counter", envir = env)
assign("counter", curVal +1 ,envir=env)
setTxtProgressBar(get("pb", envir=env), curVal +1)
FUN(...)
}
res <- sapply(X, wrapper, ...)
close(pb)
res
}
# Funciones para realizar filtros de fechas -------------------------------
filter_date_hom <- function(object){
sub=cbind(object,"nueva"=paste(object$year,object$month,object$day,sep="-"))
sub$nueva<- as.Date(sub$nueva, format ="%Y-%m-%d")
if(svalue(mesh1)=="12"){
get.rows <- sub$nueva >= as.Date(paste(svalue(añoh),svalue(mesh),"1",sep="-")) & sub$nueva <= as.Date(paste(svalue(añoh1),as.numeric(svalue(mesh1)),"31",sep="-"))
dataf <- sub[get.rows,-length(sub) ]
}else{
get.rows <- sub$nueva >= as.Date(paste(svalue(añoh),svalue(mesh),"1",sep="-")) & sub$nueva <= as.Date(paste(svalue(añoh1),as.numeric(svalue(mesh1))+1,"1",sep="-"))
data <- sub[get.rows,-length(sub) ]
dataf<- data[-nrow(data),]
}
return(dataf)
}
filter_date_descp <- function(object){
sub=cbind(object,"nueva"=paste(object$year,object$month,object$day,sep="-"))
sub$nueva<- as.Date(sub$nueva, format ="%Y-%m-%d")
get.rows <- sub$nueva >= as.Date(paste(svalue(añod),svalue(mesd),svalue(diad),sep="-")) & sub$nueva <= as.Date(paste(svalue(añod1),svalue(mesd1),as.numeric(svalue(diad1)),sep="-"))
data <- sub[get.rows,-length(sub) ]
#dataf<- data[-nrow(data),]
return(data)
}
filter_date_ind <- function(object){
sub=cbind(object,"nueva"=paste(object$year,object$month,object$day,sep="-"))
sub$nueva<- as.Date(sub$nueva, format ="%Y-%m-%d")
get.rows <- sub$nueva >= as.Date(paste(svalue(añoi),svalue(mesi),svalue(diai),sep="-")) & sub$nueva <= as.Date(paste(svalue(añoi1),svalue(mesi1),as.numeric(svalue(diai1)),sep="-"))
data <- sub[get.rows,-length(sub) ]
return(data)
}
# Funciones para realizar Analisis descriptivo ----------------------------
descript <- function(object){
n=length(object)
Media=round(mean2(object, na.rm=T),3); Varianza=round(var(object, na.rm=T),3); Desv.Est=round(sqrt(Varianza),3)
Mediana=round(as.numeric(quantile(object,probs=0.5, na.rm=T)),3); Coef.Var=round((sqrt(Varianza)/Media)*100,3)
Mín=round(min(object,na.rm=T),2); Máx=round(max(object,na.rm=T),2)
Datos.NA=round(sum(is.na(object)),2)
Porcentaje.NA=round((Datos.NA/length(object))*100,3)
result=cbind(n,Mín,Máx,Media,Varianza,Desv.Est,Mediana,Coef.Var,Datos.NA,Porcentaje.NA)
}
descript2 <- function(object){
if(svalue(mesd)!="" && svalue(mesd1)!="" && svalue(añod)!="" && svalue(añod1)!="") {object=filter_date_descp(object)
}else{object=object}
d=sapply(object[-3:-1],descript)
row.names(d) <-c("n","Mín","Máx","Media","Varianza","Desv.Est","Mediana","CV %","NA","NA %")
d=as.table(d)
names(dimnames(d)) <- c(" ", paste("Variable",svalue(nom_val1)))
cat("\n\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=\n ")
cat(" Análisis descriptivo para la variable ",svalue(nom_val1))
cat("\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n")
return(d)
}
descriptna <- function(object){
Datos.NA=round(sum(is.na(object)),0)
Porcentaje.NA=round((Datos.NA/length(object))*100,3)
result=Porcentaje.NA
return(Datos.NA)
}
descriptna2 <- function(object){
d=sapply(object[-3:-1],descriptna)
return(cbind(d))
}
# Funciones para generar gráficos automáticos -----------------------------
graf_plot <- function(){
confirmDialog(paste("Los resultados gráficos se guardarán en",getwd(),"/Analisis gráfico"),"Ubicación archivos")
if(svalue(tipo)=="Diaria"){
cat("\n\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
cat(paste0(" Generando gráficos plot diarios"))
cat("\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
tmax1=ts(tmax,start=min(tmax$year),frequency=365)
tmin1=ts(tmin,start=min(tmin$year),frequency=365)
prec1=ts(prec,start=min(prec$year),frequency=365)
station=names( tmax[-3:-1])
m=matrix(c(1,1,2,3,3,4,5,5,6),3,3,byrow=T)
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Gráficos diarios",showWarnings=F)
dir.create("Analisis gráfico/Gráficos diarios/Gráficos plot e histogramas",showWarnings=F)
for(i in 1:(ncol(tmax)-3)){
jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos plot e histogramas/plot_",station[i],"_d.jpeg",sep=""), width = 10, height = 7,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos plot e histogramas/plot_",station[i],"_d.jpeg",sep=""),width = 1000, height = 500)
layout(m)
plot(tmax1[,i+3],type="l",xlab="Años",ylab="Temperatura Máxima (°C)",col="black")
title(main=paste(station[i]),outer = TRUE, line = -1)
hist(tmax1[,i+3],main="",xlab="Temperatura Máxima (°C)")
plot(tmin1[,i+3],type="l",xlab="Años",ylab="Temperatura Mínima (°C)",col="black")
hist(tmin1[,i+3],main="",xlab="Temperatura Mínima")
plot(prec1[,i+3],type="l",xlab="Años",ylab="Precipitación (mm/día)")
hist(prec1[,i+3],main="",xlab="Precipitación")
dev.off()
cat(paste0("Generando gráfico plot para la estación "),station[i],"\n")
}
}
if(svalue(tipo)=="Mensual"){
cat("\n\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
cat(paste0(" Generando gráficos plot mensuales"))
cat("\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
tmax1=ts(aggregate(tmax[-3:-1],list(Mes=tmax$month,Año=tmax$year),mean2),frequency=12,start=min(tmax$year))
tmin1=ts(aggregate(tmin[-3:-1],list(Mes=tmin$month,Año=tmin$year),mean2),start=min(tmin$year),frequency=12)
prec1=ts(aggregate(prec[-3:-1],list(Mes=prec$month,Año=prec$year),sum2),start=min(prec$year),frequency=12)
station=names(tmax[-3:-1])
m=matrix(c(1,1,2,3,3,4,5,5,6),3,3,byrow=T)
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Gráficos Mensuales",showWarnings=F)
dir.create("Analisis gráfico/Gráficos Mensuales/Gráficos plot e histogramas",showWarnings=F)
for(i in 1:(ncol(tmax)-3)){
jpeg(paste("Analisis gráfico/Gráficos Mensuales/Gráficos plot e histogramas/plot_",station[i],"_m.jpeg",sep=""), width = 10, height = 7,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos Mensuales/Gráficos plot e histogramas/plot_",station[i],"_m.jpeg",sep=""),width = 1200, height = 500)
layout(m)
plot(tmax1[,i+2],type="l",xlab="Años",ylab="Temperatura Máxima (°C)",ylim=c(min(tmax[,i+3],na.rm=T),max(tmax[,i+3],na.rm=T)),col="black")
title(main=paste(station[i]),outer = TRUE, line = -1)
hist(tmax1[,i+2],main="",xlab="Temperatura Máxima (°C)")
plot(tmin1[,i+2],type="l",xlab="Años",ylab="Temperatura Mínima (°C)",ylim=c(min(tmin[,i+3],na.rm=T),max(tmin[,i+3],na.rm=T)),col="black")
hist(tmin1[,i+2],main="",xlab="Temperatura Mínima (°C)")
plot(prec1[,i+2],type="l",xlab="Años",ylab="Precipitación (mm/ mes)")
hist(prec1[,i+2],main="",xlab="Precipitación (mm/ mes)")
dev.off()
cat(paste0("Generando gráfico plot para la estación "),station[i],"\n")
}
}
}
graf_box <- function(){
confirmDialog(paste("Los resultados gráficos se guardarán en",getwd(),"/Analisis gráfico"),"Ubicación archivos")
if(svalue(tipo)=="Mensual"){
cat("\n\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
cat(paste0(" Generando gráficos boxplot mensuales"))
cat("\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
tmax=aggregate(tmax[-3:-1],list(month=tmax$month,year=tmax$year),mean2)
tmin=aggregate(tmin[-3:-1],list(month=tmin$month,year=tmin$year),mean2)
prec=aggregate(prec[-3:-1],list(month=prec$month,year=prec$year),sum2)
station=names( tmax[-2:-1])
month1=recode(tmax$month,"1='Ene';2='Feb';3='Mar';4='Abr';5='May';6='Jun';7='Jul';8='Ago';9='Sep';10='Oct';11='Nov';12='Dec'",as.factor.result=TRUE)
levels1<-c("Ene","Feb","Mar","Abr","May","Jun","Jul","Ago","Sep","Oct","Nov","Dec")
month1=factor(month1,levels=levels1)
vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Gráficos Mensuales",showWarnings=F)
dir.create("Analisis gráfico/Gráficos Mensuales/Gráficos boxplot",showWarnings=F)
for(i in 1:(ncol(tmax)-2)){
jpeg(paste("Analisis gráfico/Gráficos Mensuales/Gráficos boxplot/box_",station[i],"_m.jpeg",sep=""), width = 10, height = 7,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos mensuales/Gráficos boxplot/box_",station[i],"_m.jpeg",sep=""),width = 1200, height = 500)
mes=qplot(month1,tmax[,i+2], geom = "boxplot",group = month1, ylab=paste("Temperatura Máxima (°C)",sep="_"),xlab="Mes", outlier.size =0.7)
mes1=qplot(month1,tmin[,i+2], geom = "boxplot",group = month1, ylab=paste("Temperatura Mínima (°C)",sep="_"),xlab="Mes", outlier.size =0.7)
mes2=qplot(month1,prec[,i+2], geom = "boxplot",group = month1, ylab=paste("Precipitación (mm)",sep="_"),xlab="Mes", outlier.size =0.7)
year=qplot(tmax$year ,tmax[,i+2], geom = "boxplot", group = tmax$year,ylab=paste("Temperatura Máxima (°C)",sep="_"),xlab="",outlier.size =0.7)+scale_x_continuous(breaks=pretty(min(tmax$year):max(tmax$year),length(unique(tmax$year))))+theme(axis.text.x = element_text(angle=90, vjust=0.5))
year1=qplot(tmin$year ,tmin[,i+2], geom = "boxplot", group = tmin$year,ylab=paste("Temperatura Mínima (°C)",sep="_"),xlab="", outlier.size =0.7)+scale_x_continuous(breaks=pretty(min(tmax$year):max(tmax$year),length(unique(tmax$year))))+theme(axis.text.x = element_text(angle=90, vjust=0.5))
year2=qplot(prec$year ,prec[,i+2], geom = "boxplot", group = prec$year,ylab=paste("Precipitación (mm)",sep="_"),xlab="", outlier.size =0.7)+scale_x_continuous(breaks=pretty(min(tmax$year):max(tmax$year),length(unique(tmax$year))))+theme(axis.text.x = element_text(angle=90, vjust=0.5))
grid.newpage()
pushViewport(viewport(layout = grid.layout(4,4, heights = unit(c(0.5, 4, 4,4), "null"))))
grid.text(paste(station[i],"_anual"), vp = viewport(layout.pos.row = 1, layout.pos.col = 1:2))
grid.text(paste(station[i],"_mensual"), vp = viewport(layout.pos.row = 1, layout.pos.col = 3:4))
print(year, vp = vplayout(2, 1:2))
print(mes, vp = vplayout(2, 3:4))
print(year1, vp = vplayout(3,1:2))
print(mes1, vp = vplayout(3,3:4))
print(year2, vp = vplayout(4,1:2))
print(mes2, vp = vplayout(4,3:4))
dev.off()
cat(paste0("Generando gráfico boxplot para la estación "),station[i],"\n")
}
x=melt(tmax[-2:-1])
y=melt(tmin[-2:-1])
z=melt(prec[-2:-1])
gral=qplot(x$variable,x$value,geom="boxplot",group=x$variable,ylab="Temperatura Máxima (°C)",xlab="",outlier.size =0.7)+theme(axis.text.x = element_text(angle=90, vjust=0.5))
gral1=qplot(y$variable,y$value,geom="boxplot",group=y$variable,ylab="Temperatura Mínima (°C)",xlab="",outlier.size =0.7)+theme(axis.text.x = element_text(angle=90, vjust=0.5))
gral2=qplot(x$variable,z$value,geom="boxplot",group=z$variable,ylab="Precipitación (mm)",xlab="", outlier.size =0.7)+theme(axis.text.x = element_text(angle=90, vjust=0.5))
vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)
jpeg(paste("Analisis gráfico/Gráficos Mensuales/Gráficos boxplot/todos_m.jpeg",sep=""), width = 10, height = 4,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos mensuales/Gráficos boxplot/todos_m.jpeg",sep=""),width = 600, height = 500)
grid.newpage()
pushViewport(viewport(layout = grid.layout(2,3, heights = unit(c(0.5, 4, 4,4), "null"))))
grid.text("", vp = viewport(layout.pos.row = 1, layout.pos.col = 1))
print(gral, vp = vplayout(2, 1))
print(gral1, vp = vplayout(2,2))
print(gral2, vp = vplayout(2,3))
dev.off()
}
if(svalue(tipo)=="Diaria"){
cat("\n\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
cat(paste0(" Generando gráficos boxplot diarios"))
cat("\n =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= \n ")
tmax=tmax
tmin=tmin
prec=prec
station=names( tmax[-3:-1])
month1=recode(tmax$month,"1='Ene';2='Feb';3='Mar';4='Abr';5='May';6='Jun';7='Jul';8='Ago';9='Sep';10='Oct';11='Nov';12='Dec'",as.factor.result=TRUE)
levels1<-c("Ene","Feb","Mar","Abr","May","Jun","Jul","Ago","Sep","Oct","Nov","Dec")
month1=factor(month1,levels=levels1)
month=tmax$month
vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Gráficos Diarios",showWarnings=F)
dir.create("Analisis gráfico/Gráficos Diarios/Gráficos_boxplot",showWarnings=F)
for(i in 1:(ncol(tmax)-3)){
jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos_boxplot/box_",station[i],"_d.jpeg",sep=""), width = 10, height = 7,units = 'in',res=200)
mes=qplot(month1,tmax[,i+3], geom = "boxplot",group = month1, ylab=paste("Temp. Máxima",sep="_"),xlab="",outlier.size =0.7)
mes1=qplot(month1,tmin[,i+3], geom = "boxplot",group = month1, ylab=paste("Temp. Mínima",sep="_"),xlab="", outlier.size =0.7)
mes2=qplot(month1,prec[,i+3], geom = "boxplot",group = month1, ylab=paste("Precipitación",sep="_"),xlab="", outlier.size =0.7)
year=qplot(tmax$year ,tmax[,i+3], geom = "boxplot", group = tmax$year,ylab=paste("Temp. Máxima",sep="_"),xlab="",outlier.size =0.7)+scale_x_continuous(breaks=pretty(min(tmax$year):max(tmax$year),length(unique(tmax$year))))+theme(axis.text.x = element_text(angle=90, vjust=0.5))
year1=qplot(tmin$year ,tmin[,i+3], geom = "boxplot", group = tmin$year,ylab=paste("Temp. Mínima",sep="_"),xlab="",outlier.size =0.7)+scale_x_continuous(breaks=pretty(min(tmax$year):max(tmax$year),length(unique(tmax$year))))+theme(axis.text.x = element_text(angle=90, vjust=0.5))
year2=qplot(prec$year ,prec[,i+3], geom = "boxplot", group = prec$year,ylab=paste("Precipitación",sep="_"),xlab="", outlier.size =0.7)+scale_x_continuous(breaks=pretty(min(tmax$year):max(tmax$year),length(unique(tmax$year))))+theme(axis.text.x = element_text(angle=90, vjust=0.5))
grid.newpage()
pushViewport(viewport(layout = grid.layout(4,4, heights = unit(c(0.5, 4, 4,4), "null"))))
grid.text(paste(station[i],"_anual"), vp = viewport(layout.pos.row = 1, layout.pos.col = 1:2))
grid.text(paste(station[i],"_mensual"), vp = viewport(layout.pos.row = 1, layout.pos.col = 3:4))
print(year, vp = vplayout(2, 1:2))
print(mes, vp = vplayout(2, 3:4))
print(year1, vp = vplayout(3,1:2))
print(mes1, vp = vplayout(3,3:4))
print(year2, vp = vplayout(4,1:2))
print(mes2, vp = vplayout(4,3:4))
dev.off()
cat(paste0("Generando gráfico boxplot para la estación "),station[i],"\n")
}
x=melt(tmax[-3:-1])
y=melt(tmin[-3:-1])
z=melt(prec[-3:-1])
gral=qplot(x$variable,x$value,geom="boxplot",group=x$variable,ylab="Temp. Máxima",xlab="", outlier.size =0.7)+theme(axis.text.x = element_text(angle=90, vjust=0.5))
gral1=qplot(y$variable,y$value,geom="boxplot",group=y$variable,ylab="Temp. Mínima",xlab="", outlier.size =0.7)+theme(axis.text.x = element_text(angle=90, vjust=0.5))
gral2=qplot(x$variable,z$value,geom="boxplot",group=z$variable,ylab="Precipitación",xlab="", outlier.size =0.7)+theme(axis.text.x = element_text(angle=90, vjust=0.5))
vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)
jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos_boxplot/todos_d.jpeg",sep=""), width = 10, height = 4,units = 'in',res=200)
grid.newpage()
pushViewport(viewport(layout = grid.layout(2,3, heights = unit(c(0.5, 4, 4,4), "null"))))
grid.text("", vp = viewport(layout.pos.row = 1, layout.pos.col = 1))
print(gral, vp = vplayout(2, 1))
print(gral1, vp = vplayout(2,2))
print(gral2, vp = vplayout(2,3))
dev.off()
}
}
graf_disp <- function(){
confirmDialog(paste("Los resultados gráficos se guardarán en",getwd(),"/Analisis gráfico"),"Ubicación archivos")
panel.cor <- function(x, y, digits=2, prefix="", cex.cor, ...){
usr <- par("usr"); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
r <- abs(cor(x, y))
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep="")
if(missing(cex.cor)) cex.cor <- 0.8/strwidth(txt)
text(0.5, 0.5, txt, cex = 2)
}
if(ncol(tmax)>15)
stop("El número de estaciones no es adecuado generar los gráficos de dispersión")
if(svalue(tipo)=="Mensual"){
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Gráficos mensuales",showWarnings=F)
dir.create("Analisis gráfico/Gráficos mensuales/Gráficos dispersión",showWarnings=F)
datostmax=aggregate(tmax[-3:-1],list(month=tmax$month,year=tmax$year),mean2)
datostmin=aggregate(tmin[-3:-1],list(month=tmin$month,year=tmin$year),mean2)
datosprec=aggregate(prec[-3:-1],list(month=prec$month,year=prec$year),sum2)
jpeg(paste("Analisis gráfico/Gráficos mensuales/Gráficos dispersión/tmax.jpeg",sep=""), width = 10, height = 10,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos dispersión/tmax.jpeg",sep=""),width = 600, height = 600)
datostmax=data.frame(na.omit(datostmax[-2:-1]))
tryCatch( pairs(datostmax,lower.panel=panel.cor, pch=19,col="black"),error=function(e) NULL )
dev.off()
jpeg(paste("Analisis gráfico/Gráficos mensuales/Gráficos dispersión/tmin.jpeg",sep=""), width = 10, height = 10,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos dispersión/tmin.jpeg",sep=""),width = 600, height = 600)
datostmin=data.frame(na.omit(datostmin[-2:-1]))
tryCatch(pairs(datostmin,lower.panel=panel.cor, pch=19,col="black"),error=function(e) NULL )
dev.off()
jpeg(paste("Analisis gráfico/Gráficos mensuales/Gráficos dispersión/prec.jpeg",sep=""), width = 10, height = 10,units = 'in',res=200)
# jpeg(paste("Analisis gráfico/Gráficos dispersión/prec.jpeg",sep=""),width = 600, height = 600)
datosprec=data.frame(na.omit(datosprec[-2:-1]))
tryCatch( pairs(datosprec,lower.panel=panel.cor, pch=19,col="black"),error=function(e) NULL )
dev.off()
}
if(svalue(tipo)=="Diaria"){
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Gráficos diarios",showWarnings=F)
dir.create("Analisis gráfico/Gráficos diarios/Gráficos dispersión",showWarnings=F)
jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos dispersión/tmax.jpeg",sep=""), width = 10, height = 10,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos dispersión/tmax.jpeg",sep=""),width = 600, height = 600)
datostmax=data.frame(na.omit(tmax[-3:-1]))
tryCatch( pairs(datostmax,lower.panel=panel.cor, pch=19,col="black"),error=function(e) NULL )
dev.off()
jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos dispersión/tmin.jpeg",sep=""), width = 10, height = 10,units = 'in',res=200)
#jpeg(paste("Analisis gráfico/Gráficos dispersión/tmin.jpeg",sep=""),width = 600, height = 600)
datostmin=data.frame(na.omit(tmin[-3:-1]))
tryCatch(pairs(datostmin,lower.panel=panel.cor, pch=19,col="black"),error=function(e) NULL )
dev.off()
jpeg(paste("Analisis gráfico/Gráficos diarios/Gráficos dispersión/prec.jpeg",sep=""), width = 10, height = 10,units = 'in',res=200)
# jpeg(paste("Analisis gráfico/Gráficos dispersión/prec.jpeg",sep=""),width = 600, height = 600)
datosprec=data.frame(na.omit(prec[-3:-1]))
tryCatch( pairs(datosprec,lower.panel=panel.cor, pch=19,col="black"),error=function(e) NULL )
dev.off()
}
}
graf_clim <- function(){
station=names( tmax[-3:-1])
tmax_clim = aggregate(tmax[,-3:-1],list(tmax$month),mean2)
tmin_clim = aggregate(tmin[,-3:-1],list(tmin$month),mean2)
prec_cum = aggregate(prec[,-3:-1],list(prec$month,prec$year),sum22)
prec_clim = aggregate(prec_cum[,-2:-1],list(prec_cum$Group.1),mean2)
dir.create("Analisis gráfico",showWarnings=F)
dir.create("Analisis gráfico/Climatologías",showWarnings=F)
for(i in 1:(ncol(tmax_clim)-1)){
jpeg(paste("Analisis gráfico/Climatologías/clim_",station[i],".jpeg",sep=""), width = 10, height = 7,units = 'in',res=200)
par(mar = c(7,5,2.5,5))
with(prec_clim, barplot(prec_clim[,i+1], col="lightblue", ylab="Precipitación (mm/ mes)", names.arg=c("Ene","Feb","Mar","Abr","May","Jun","Jul","Ago","Sep","Oct","Nov","Dec")))
par(new = T)
with(tmin_clim, plot(tmin_clim[,1],tmin_clim[,i+1], type="l", col="blue",lwd = 2,
axes=F, xlab=NA, ylab=NA, cex=1.2,ylim=c(min(tmin_clim[,i+1])-0.5,max(tmax_clim[,i+1])+0.5)))
par(new = T)
with(tmax_clim, plot(tmax_clim[,1],tmax_clim[,i+1], type="l", col="red3",lwd = 2,
axes=F, xlab=NA, ylab=NA, cex=1.2,ylim=c(min(tmin_clim[,i+1])-0.5,max(tmax_clim[,i+1])+0.5)))
axis(side = 4)
mtext(side = 4, line = 3, 'Temperatura (°C)')
box()
title(paste(station[i]))
# grid()
par(xpd=TRUE)
legend(0.2,min(tmin_clim[,2])-3,
legend=c("Temperatura máxima", "Temperatura mínima", "Precipitación"),
lty=c(1,1,1), lwd=c(2,2,7),col=c("red3", "blue","lightblue"))
dev.off()
}
}
# Funciones para generar gráficos PERSONALIZADOS --------------------------
# Funciones para generar gráficos clásicos
plot2 <- function(){ #Genera gráfico plot
object=eval(parse(text=svalue(nom_val1)))
plot.default.LIST <- list(
title = "plot.default",
help = "plot.default",
action = list(
beginning = "x11();plot.default(",
ending = ")"),
arguments = list(
"x"=list(
type="gdroplist",
items=ls(object),
editable =T
),
"y"=list(
type="gdroplist",
items=ls(object),
editable =T
),
"type"=list(
type= "gedit",
coerce.with= as.character,
text="'p'"),
"xlim"=list(
type= "gedit",
text="NULL"),
"ylim"=list(
type= "gedit",
text="NULL"),
"main"=list(
type= "gedit",
text="'Titulo del gráfico'"),
"xlab"=list(
type= "gedit",
text="'Etiqueta eje x'"),
"ylab"=list(
type= "gedit",
text="'Etiqueta eje y'")))
ggenericwidget(plot.default.LIST,cont=gwindow("Gráfico Plot"))
}
hist2 <- function(){ #Genera gráfico histograma
object=eval(parse(text=svalue(nom_val1)))
hist.LIST <- list(
title = "hist",
help = "hist",
action = list(
beginning = "x11();hist(",
ending = ")"),
arguments = list(
"x"=list(
type="gdroplist",
items=ls(object),
editable =T
),
"main"=list(
type= "gedit",
text="'Titulo del gráfico'"),
"xlab"=list(
type= "gedit",
text="'Etiqueta eje x'"),
"ylab"=list(
type= "gedit",
text="'Etiqueta eje y'")))
ggenericwidget(hist.LIST,container=gwindow("Gráfico Histograma"))
}
boxplot2 <- function(){#Genera gráfico boxplot
object=eval(parse(text=svalue(nom_val1)))
boxplot.LIST <- list(
title = "boxplot",
help = "boxplot",
assignto = TRUE,
action = list(
beginning = "x11();boxplot(",
ending = ")"),
arguments = list(
"x"=list(
type="gdroplist",
items=ls(object),
editable =T),
"main"=list(
type= "gedit",
text="'Titulo del gráfico'"),
"ylab"=list(
type= "gedit",
text="'Etiqueta eje y'")))
ggenericwidget( boxplot.LIST ,container=gwindow("Gráfico Boxplot"))
}
qqnorm2 <- function(){ #Genera gráfico qq-norm
object=eval(parse(text=svalue(nom_val1)))
qqnorm.default.LIST <- list(
title = "qqnorm.default",
help = "qqnorm.default",
variableType = "",
action = list(
beginning = "x11();qqnorm.default(",
ending = ")"),
arguments = list(
"y"=list(
type="gdroplist",
items=ls(object),
editable =T
),
"ylim"=list(
type= "gedit",
text=""),
"main"=list(
type= "gedit",
coerce.with= as.character,
text="'Normal Q-Q Plot'"),
"xlab"=list(
type= "gedit",
coerce.with= as.character,
text="'Theoretical Quantiles'"),
"ylab"=list(
type= "gedit",
coerce.with= as.character,
text="'Sample Quantiles'")))
ggenericwidget(qqnorm.default.LIST,container=gwindow("Gráfico QQ-norm"))
}
# Funciones para generar gráficos con ggplot2
hist_22 <- function(){
object=eval(parse(text=svalue(nom_val1)))
qplot.LIST <- list(
title = "qplot",
help = "qplot",
action = list(
beginning = "x11();qplot(",
ending = ")"),
arguments = list(
"x"=list(
type="gdroplist",
items=ls(object),
editable=T
),
"geom"=list(
type= "gedit",
coerce.with= as.character,
text="'auto'"),
"main"=list(
type= "gedit",
text="'Titulo del gráfico'"),
"xlab"=list(
type= "gedit",
text="'Etiqueta eje x'"),
"ylab"=list(
type= "gedit",
text="'Etiqueta eje y'")))
ggenericwidget(qplot.LIST,container=gwindow("Gráfico Histograma ggplot2"))
}
qplot2 <- function(){ #genera gráfico plot con ggplot2
object=eval(parse(text=svalue(nom_val1)))
qplot.LIST <- list(
title = "qplot",
help = "qplot",
action = list(
beginning = "x11();qplot(",
ending = ")"),
arguments = list(
"x"=list(
type="gdroplist",
items=ls(object),
editable=T
),
"y"=list(
type="gdroplist",
items=ls(object),
editable=T
),
"geom"=list(
type= "gedit",
coerce.with= as.character,
text="c('point','line')"),
"main"=list(
type= "gedit",
text="'Titulo del gráfico'"),
"xlab"=list(
type= "gedit",
text="'Etiqueta eje x'"),
"ylab"=list(
type= "gedit",
text="'Etiqueta eje y'")))
ggenericwidget(qplot.LIST,container=gwindow("Gráfico Plot ggplot2"))
}
boxplotg2 <- function(){
object=eval(parse(text=svalue(nom_val1)))
geom_boxplot.LIST <- list(
title = "geom_boxplot",
help = "geom_boxplot",
variableType = "",
assignto = TRUE,
action = list(
beginning = "geom_boxplot(",
ending = ")"),
arguments = list(
"mapping"=list(
type= "gedit",
text="NULL"),
"data"=list(
type= "gedit",
text="NULL"),
"stat"=list(
type= "gedit",
coerce.with= as.character,
text="'boxplot'"),
"position"=list(
type= "gedit",
coerce.with= as.character,
text="'dodge'"),
"outlier.colour"=list(
type= "gedit",
coerce.with= as.character,
text="'black'"),
"outlier.size"=list(
type= "gedit",
coerce.with= as.numeric,
text="2"),
"..."=list(
type= "gedit",
text="")))
ggenericwidget(geom_boxplot.LIST,container=gwindow("Gráfico BoxPlot ggplot2"))
}
# Funciones para control de calidad ---------------------------------------
confirmDialog <- function(message,title, handler=NULL) {
window <- gwindow(title,width=100,height=100)
group <- ggroup(container = window)
gimage("info", dirname="stock", size="large_toolbar", container=group)
## A group for the message and buttons
inner.group <- ggroup(horizontal=FALSE, container = group)
glabel(message, container=inner.group, expand=TRUE)
## A group to organize the buttons
button.group <- ggroup(container = inner.group)
## Push buttons to right
addSpring(button.group)
gbutton("Ok", handler = function(h,...) dispose(window),
container=button.group)
return()
}
add_legend <- function(...) {
opar <- par(fig=c(0, 1, 0, 1), oma=c(0, 0, 0, 0),
mar=c(0, 0, 0, 0), new=TRUE)
on.exit(par(opar))
plot(0, 0, type='n', bty='n', xaxt='n', yaxt='n')
legend(...)
}
quality_control <- function(object){
val=ifelse(sapply(object[-3:-1],min2)>=as.numeric(svalue(minim)) & sapply(object[-3:-1],max2)<=as.numeric(svalue(maxim)),"está dentro del rango permitido","contiene valores por fuera del rango permitido")
val=cbind(val)
confirmDialog(paste("La estación",names(object[-3:-1]),val,sep=" "),"Validación")
station=names(object[-3:-1])
ifelse(file.exists("Datos_faltantes")=="FALSE",dir.create("Datos_faltantes",showWarnings=F),"Ya existe carpeta")
ifelse(file.exists("Control de calidad")=="FALSE",dir.create("Control de calidad",showWarnings=F),"Ya existe carpeta Control de Calidad")
if(svalue(variable)=="tmax"){
dir.create("Control de calidad/tmax",showWarnings=F)
porcentajes=matrix(0,ncol(object)-3,6)
for(i in 1:(ncol(object)-3))
{
##QC filtro grueso definido por el usuario
out_range = which(object[,i+3] < as.numeric(svalue(minim)) | object[,i+3] >as.numeric(svalue(maxim)))
out_range_data = data.frame(out_range,object[out_range,i+3])
object[out_range,i+3]<-NA
##QC filtro consistencia interna tmax<tmin
out_int = which(tmax[i+3]<tmin[i+3])
out_int_data = data.frame(out_int,object[out_int,i+3])
object[out_int,i+3]<-NA
##QC datos atípicos con RIC
x = object[,i+3]
year = object$year
month = month.abb[as.numeric(object$month)]
month = factor(month, levels=month.abb)
#svalue(criterio)
#val.na = boxplot(x~month,range=svalue(criterio),plot=F)
#svalue(criterio)
val = boxplot(x~month,range=as.numeric(svalue(criterio)),plot=F)
lim_inf = c()
lim_sup = c()
for(j in 1:12){
lim_inf[month==month.abb[j]]=val$stats[1,j]
lim_sup[month==month.abb[j]]=val$stats[5,j]
}
out_atip = which(x > lim_sup | x < lim_inf)
val.y = boxplot(x~year,range=as.numeric(svalue(criterio)),plot=F)
year.nam = as.numeric(val.y$names)
lim_inf.y = c()
lim_sup.y = c()
for(j in 1:length(year.nam)){
lim_inf.y[year==year.nam[j]]=val.y$stats[1,j]
lim_sup.y[year==year.nam[j]]=val.y$stats[5,j]
}
out_atip.y = which(x > lim_sup.y | x < lim_inf.y)
#out_atip.na_data = data.frame(c(out_atip.na,out_atip.na.y),object[c(out_atip.na,out_atip.na.y),i+3])
#object[c(out_atip.na,out_atip.na.y),i+3]<-NA
out_atip_data = cbind(object[c(out_atip,out_atip.y),1:3],object[c(out_atip,out_atip.y),i+3])
colnames(out_atip_data)<-c("day","month","year","value")
if(nrow(out_atip_data)!=0){
write.csv_n(out_atip_data,paste("Control de calidad/tmax/","atipicos_",station[i],".csv",sep=""),row.names=F)
}
##QC saltos mayor a umbral definido por el usuario
out_salt = which(abs(diff(object[,i+3]))>=as.numeric(svalue(criterio1)))
out_salt.n = unique(sort(c(out_salt,out_salt+1)))
out_salt_data<-cbind(object[out_salt.n,1:3],object[out_salt.n,i+3])
colnames(out_salt_data)<-c("day","month","year","value")
if(nrow(out_salt_data)!=0){
write.csv_n(out_salt_data,paste("Control de calidad/tmax/","tmax_salt_",station[i],".csv",sep=""),row.names=F)
}
##QC datos consecutivos
xc <-data.frame(hasta=cumsum(rle(object[,i+3])$lengths),cant_iguales=rle(object[,i+3])$lengths,valor=rle(object[,i+3])$values)
xc$desde = xc$hasta -xc$cant_iguales + 1
xc <-na.omit(xc)
out_cons = c()
error = xc[xc$cant_iguales>3,]
if (nrow(error)>0){
for (k in 1:nrow(error)) {
if (k==1){out_cons<-error$desde[k]:error$hasta[k]}
else{out_cons<-c(out_cons,error$desde[k]:error$hasta[k])}
}
}
out_cons_data = data.frame(out_cons,object[out_cons,i+3])
object[out_cons,i+3]<-NA
na=descriptna(object[,i+3])
porcentajes[i,]=cbind(round((dim(out_range_data)[1]/dim(tmax)[1])*100,2),round((dim(out_int_data)[1]/dim(tmax)[1])*100,2),round((dim(out_atip_data)[1]/dim(tmax)[1])*100),round((dim(out_salt_data)[1]/dim(tmax)[1])*100,2),round((dim(out_cons_data)[1]/dim(tmax)[1])*100,2),
round(na/dim(tmax)[1]*100,2))
#######gráficos control de calidad###########
tiff("box_month.tiff",compression = 'lzw',height = 5,width = 15,units="in", res=200)
par(mfrow=c(2,1),
oma = c(5,4,0,0) + 0.1,
mar = c(0,0,1,1) + 1.5)
boxplot(object[,i+3]~month,range=as.numeric(svalue(criterio)),plot=T)
plot(1:length(object[,i+3]),object[,i+3],type="l")
lines(1:length(object[,i+3]),lim_inf,col="red",lty=2)
lines(1:length(object[,i+3]),lim_sup,col="red",lty=2)
dev.off()
tiff(paste0(outDir,"quality_control/tmax/line_graph/",nomb_tmax[i],"_",variable,"_line_graph_qc.tiff"),compression = 'lzw',height = 7,width = 16,units="in", res=150)
par(mfrow = c(2,1), # 2x2 layout
oma = c(2, 2, 0, 0), # two rows of text at the outer left and bottom margin
mar = c(4, 4, 3, 3), # space for one row of text at ticks and to separate plots
xpd = NA)
ylim1 = c(min(tmax[,i+3],na.rm=T) ,max(tmax[,i+3],na.rm=T)+1)
ylim2 = c(min(object[,i+3],na.rm=T) ,max(object[,i+3],na.rm=T)+1)
plot(tmax[,i+3],type="l",col="grey",xaxt="n",yaxt="n",xlab="",ylab="Temperatura máxima (°C)",main = "Antes del control de calidad",ylim=ylim1,cex.lab=0.8)
mtext(paste0(station[i]),side=3,outer=T,adj=0,line=-1.3,cex = 1.2)
points(out_range,tmax[out_range,i+3],col="black",bg="green",cex=0.7,pch=21)
points(out_cons,tmax[out_cons,i+3],col="black",bg="red",cex=0.7,pch=21)
points(c(out_atip.y,out_atip),tmax[c(out_atip.y,out_atip),i+3],col="black",bg="purple",cex=0.7,pch=21)
points(out_salt.n,tmax[out_salt.n,i+3],col="black",bg="turquoise1",cex=0.7,pch=24)