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server.R
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server.R
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shinyServer(function(input, output, session) {
options(shiny.maxRequestSize=280*1024^2)
modal <- modalDialog(
title = "Update 16-Oct",
easyClose = T,
h4("Bienvenido!"),
h6("Ahora podes subir tu propia capa espacial en formato CSV o SHP y volcar tu informacion en la malla hexagonal. Las layers nuevas que creas estarán disponibles para ser utilizadas por todas las herramientas durante la sesión."),
h6("- Nuevo feature: Regresión espacialmente ponderada (GWR)."),
h6("18-Oct: Bugfix en upload de capa de puntos!"),
h6("21-Oct: Matriz de correlaciones"),
footer = modalButton("Entendido"))
# Show the model on start up ...
showModal(modal)
pTyper <- reactive({input$pType})
lista1r <- reactive({input$lista1})
lista2r <- reactive({input$lista2})
lista3r <- reactive({input$lista3})
lista4r <- reactive({input$lista4})
listaAr <- reactive({input$listaA})
listaBr <- reactive({input$listaB})
vardepr <- reactive({input$vardep})
selectizer <- reactive({input$selectize})
dimensionesr <- reactive({input$dimensiones})
vardeprGWR <- reactive({input$vardepGWR})
selectizerGWR <- reactive({input$selectizeGWR})
selectizeCorrplot <- reactive({input$selectizeCorrplot})
datosCSVreactive <- reactiveVal(datosCSV)
datosCSVboxcoxreactive <- reactiveVal(datosCSVboxcox)
listavarlab <- reactiveVal(as.vector(lista))
observeEvent(input$clusterizar, {
datosCSV <- datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
k<-input$nclusters
paleta <- palette(magma(k))
if (input$clusterboxcox == TRUE) {
varcluster <- c(sapply(input$dimensiones, DataType, simplify = TRUE, USE.NAMES = FALSE))
dat<- datosCSVboxcox[,c("hexacities",varcluster)]
dat[is.na(dat)] <- 0
dat <- as.data.frame(apply(dat, 2, Normalizar))
} else {
varcluster <- c(sapply(input$dimensiones, DataType, simplify = TRUE, USE.NAMES = FALSE))
dat<- datosCSV[,c("hexacities",varcluster)]
dat[is.na(dat)] <- 0
dat <- as.data.frame(apply(dat, 2, Normalizar))
}
dat$hexacities <- datosCSV$hexacities
D0 <- dist(dat[ ,!(colnames(dat) == "hexacities")]) # the socio-demographic distances
D1 <- as.dist(D.geo)
tree <- hclustgeo(D0,D1,alpha=input$alpha)
dat$P5bis <- cutree(tree,k)
datmap <- dat[,c("hexacities","P5bis")]
map@data <- merge(x = map@data, y=datmap, by="hexacities", all.x = TRUE)
map <-subset(map, !is.na(map@data[,2]))
map <- map[!is.na(map[,2])]
k<-input$nclusters
paleta <- palette(magma(k))
leafletProxy("map4", data = map)%>%
addProviderTiles(providers$CartoDB.Positron, options = providerTileOptions(noWrap = TRUE))%>%
clearShapes() %>%
addPolygons(data = map, layerId = ~map$hexacities, fillColor = paleta[as.numeric(map@data$P5bis)],fillOpacity = 0.6,
color = "white", weight = 0,popup=paste0("Cluster ", map@data[,2]))%>%
clearControls()%>%
addLegend("topleft",
colors =as.vector(paleta[unique(as.numeric(map@data$P5bis))]),
labels= as.vector(paste0("Cluster ", unique(map@data$P5bis))),
title= ("Clusters"),
opacity = 0.5)
})
observeEvent(input$boton2, {
datosCSV <- datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
vd <- DataType(input$vardep)
vi <- c(sapply(input$selectize, DataType, simplify = TRUE, USE.NAMES = FALSE))
datosCSVin <- subset(datosCSV, BARRIO %in% input$barrioin)
datosCSVout <- subset(datosCSV, BARRIO %in% input$barrioout)
# idsOut <- unique(datosCSVout$hexacities)
fmla <- paste(vd, paste(vi, collapse = " + "), sep = "~")
lmodel <- lm(fmla, data = datosCSVin)
cooksd <- cooks.distance(lmodel)
datosCSVin$cooksd <- cooks.distance(lmodel)
adentro <- nrow(datosCSVin) - input$cookometro
datosCSVin <- datosCSVin[order(cooksd),]
atroden <- datosCSVin[1:adentro,c("hexacities")]
# datosCSVin2 <-subset(datosCSVin, !(hexacities %in% influential$hexacities))
# datosCSVin2 <- datosCSVin[!(datosCSVin$hexacities %in% as.vector(influential)),]
datosCSVin2 <-subset(datosCSVin, hexacities %in% atroden)
# influential <- as.numeric(names(sort(cooksd, decreasing = TRUE)[1:top_x_outlier]))
# datosCSVin <- datosCSVin[datosCSVin$hexacities - filterout$hexacities, ]
lmodel2 <- lm(fmla, data = datosCSVin2)
cooksd2 <- cooks.distance(lmodel2)
# summary(lmodel2)
if (input$resorfit == "Residual") {
# datosCSVout$picked0 <- predict(lmodel2, datosCSVout)
datosCSVout$picked <- as.vector(datosCSVout[,paste0(DataType(input$vardep))]) - as.vector(predict(lmodel2, datosCSVout))
fitres <- datosCSVout[,c("hexacities","picked"),drop=F]
# fitres <-subset(fitres0, hexacities %in% atroden)
# as.data.frame(fitres)
}
else if(input$resorfit == "Cook's distance") {
datosCSVin2$picked <- datosCSVin2$cooksd
# datosCSVout0 <- as.data.frame(merge(datosCSVin[, c("hexacities","picked")], datosCSVout, by="hexacities"))
fitres0 <- datosCSVin2[,c("hexacities","picked"),drop=F]
fitres <-subset(fitres0, hexacities %in% atroden)
}
else {
datosCSVout$picked <- predict(lmodel2, datosCSVout)
fitres <- datosCSVout[,c("hexacities","picked"),drop=F]
}
shapeFile@data <- merge(x = shapeFile@data, y=fitres, by="hexacities", all.x = TRUE)
shapeFile <-subset(shapeFile, !is.na(shapeFile@data[,2]))
shapeFile <- shapeFile[!is.na(shapeFile[,2])]
# shapeFile <- shapeFile[!is.na(shapeFile@data[,2]),]
rc1 <- colorRampPalette(colors = c("blue", "white"), space = "Lab")((sqrt(min(fitres$picked)^2))/max(sqrt(fitres$picked^2))*10)
rc2 <- colorRampPalette(colors = c("white", "red"), space = "Lab")((max(fitres$picked))/max(sqrt(fitres$picked^2))*10)
rampcols <- c(rc1, rc2)
mypal <- colorNumeric(palette = rampcols, domain = fitres$picked)
# fitres$picked
# fillColor = if(input$resorfit == "Residual"){~mypal(fitres$picked)}else{"Red"}, fillOpacity = if(input$resorfit == "Residual"){sqrt(sqrt((fitres$picked)^2)/max(sqrt((fitres$picked)^2)))}else{(shapeFile@data[,2]+0.00001)/max(shapeFile@data[,2])},
leafletProxy("map2", data = shapeFile)%>%
addProviderTiles(providers$CartoDB.Positron, options = providerTileOptions(noWrap = TRUE))%>%
clearShapes() %>%
addPolygons(data = shapeFile, layerId = ~shapeFile$hexacities, fillColor = if(input$resorfit == "Residual"){~mypal(fitres$picked)}else{"Red"}, fillOpacity = if(input$resorfit == "Residual"){sqrt(sqrt((fitres$picked)^2)/max(sqrt((fitres$picked)^2)))}else{(shapeFile@data[,2]+0.00001)/max(shapeFile@data[,2])},
color = "white", weight = 0,popup=paste(shapeFile@data[,2])) %>%
clearControls() %>%
addLegend("topleft",
colors =if(input$resorfit == "Residual"){c("#ff0000", "#ff8686", "#fff", "#7585ff", "#001eff")}else{c("#ff0000", "#ff5200", "#ffaa90", "#ffc8b7", "#ffe2d9")},
labels= c("+", "","","", "-"),
title= (input$resorfit),
opacity = 1)
output$prediction <- renderPrint({
return(summary(lmodel2))
})
output$residvsfit <- renderPlotly({
Fitted.Values <- predict(lmodel2, datosCSVout)
Residuals <- as.vector(datosCSVout[,paste0(DataType(input$vardep))]) - predict(lmodel2, datosCSVout)
regMat <- data.frame(Fitted.Values,
Residuals)
LOESS1 <- loess.smooth(Fitted.Values, Residuals)
plt1 <- regMat %>%
plot_ly(x = Fitted.Values, y = Residuals,
type = "scatter", mode = "markers", hoverinfo = "x+y", name = "Data",
marker = list(size = 10, opacity = 0.5), showlegend = F) %>%
add_trace(x = LOESS1$x, y = LOESS1$y, type = "scatter", mode = "line", name = "Smooth",
line = list(width = 2)) %>%
layout(title = "Residuales vs Fitted", plot_bgcolor = "#e6e6e6", width = 750, height = 300)
})
output$cooksdistance <- renderPlot({
sample_size <- nrow(datosCSVin2)
plot(sample(datosCSVin2$cooksd, sample_size,replace=FALSE), pch="*", cex=2, main="Observaciones influyentes por distancia de Cook") # plot cook's distance
abline(h = 4/sample_size, col="red")
# text(x=1:length(cooksd2)+1, y=cooksd2, labels=ifelse(cooksd2>4/sample_size, names(cooksd2),""), col="red") # labels
})
})
output$Corrplot<- renderPlot({
datosCSV <- datosCSVreactive()
vi <- c(sapply(input$selectizeCorrplot, DataType, simplify = TRUE, USE.NAMES = FALSE))
datosCSV <-datosCSV[,vi]
colnames(datosCSV)<- c(lapply(input$selectizeCorrplot, substr,start=1, stop=25 ))
corrplot.mixed(cor(datosCSV), tl.col="black", tl.pos = "lt", tl.cex=0.8, tl.srt=70,lower = "ellipse", upper="number" )
})
gwrmodel <- eventReactive(input$boton2GWR,{
datosCSV <- datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
vd <- DataType(input$vardepGWR)
vi <- c(sapply(input$selectizeGWR, DataType, simplify = TRUE, USE.NAMES = FALSE))
fmla <- paste(vd, paste(vi, collapse = " + "), sep = "~")
DM <- gw.dist(dp.locat=coordinates(shapeFile))
shapeFile@data <- merge(x = shapeFile@data, y=datosCSV, by.x="hexacities", by.y="hexacitiesid", all.x = TRUE)
bandwi <-bw.gwr(fmla,data=shapeFile, approach="CV",kernel="gaussian",
adaptive=FALSE,dMat=DM, p=2, theta=0, longlat=F)
gwrmodel <- gwr.basic(fmla, data=shapeFile,bw=bandwi, kernel='gaussian',dMat=DM)
})
observe({
if(!is.null(input$resorfitGWR)){
gwrmodel<-gwrmodel()
gwrshapeFile<-gwrmodel$SDF
sel <- paste0(input$resorfitGWR)
gwrshapeFile <- gwrshapeFile[,sel]
rc1 <- colorRampPalette(colors = c("blue", "white"), space = "Lab")((sqrt(min(gwrshapeFile@data[,1])^2))/max(sqrt(gwrshapeFile@data[,1]^2))*10)
rc2 <- colorRampPalette(colors = c("white", "red"), space = "Lab")((max(gwrshapeFile@data[,1]))/max(sqrt(gwrshapeFile@data[,1]^2))*10)
rampcols <- c(rc1, rc2)
mypal <- colorNumeric(palette = rampcols, domain = gwrshapeFile@data[,1])
leafletProxy("map2", data = gwrshapeFile)%>%
addProviderTiles(providers$CartoDB.Positron, options = providerTileOptions(noWrap = TRUE))%>%
clearShapes() %>%
addPolygons(data = gwrshapeFile, fillColor = if(min(gwrshapeFile@data[,1]) < 0){~mypal(gwrshapeFile@data[,1])}else{"Red"}, fillOpacity = if(min(gwrshapeFile@data[,1]) < 0){sqrt(sqrt((gwrshapeFile@data[,1])^2)/max(sqrt((gwrshapeFile@data[,1])^2)))}else{(gwrshapeFile@data[,1]+0.00001)/max(gwrshapeFile@data[,1])},
color = "white", weight = 0,popup=paste(gwrshapeFile@data[,1])) %>%
clearControls() %>%
addLegend("topleft",
colors =if(min(gwrshapeFile@data[,1]) < 0){c("#ff0000", "#ff8686", "#fff", "#7585ff", "#001eff")}else{c("#ff0000", "#ff5200", "#ffaa90", "#ffc8b7", "#ffe2d9")},
labels= c("+", "","","", "-"),
title= (input$resorfitGWR),
opacity = 1)
}})
output$resorfitGWR <- renderUI({
gwrmodel<-gwrmodel()
gwrshapeFile<-gwrmodel$SDF
selectInput("resorfitGWR", "Resultado a mapear", colnames(gwrshapeFile@data), selected = "yhat",width = 200)
})
output$predictionGWR <- renderPrint({
gwrmodel<-gwrmodel()
return(gwrmodel)
})
# observeEvent(input$boton2GWR, {
#
# datosCSV <- datosCSVreactive()
# datosCSVboxcox <- datosCSVboxcoxreactive()
#
# vd <- DataType(input$vardepGWR)
# vi <- c(sapply(input$selectizeGWR, DataType, simplify = TRUE, USE.NAMES = FALSE))
#
# # datosCSVin <- subset(datosCSV, BARRIO %in% input$barrioin)
# # datosCSVout <- subset(datosCSV, BARRIO %in% input$barrioout)
# # idsOut <- unique(datosCSVout$hexacities)
#
#
# fmla <- paste(vd, paste(vi, collapse = " + "), sep = "~")
#
# DM <- gw.dist(dp.locat=coordinates(shapeFile))
#
#
# shapeFile@data <- merge(x = shapeFile@data, y=datosCSV, by.x="hexacities", by.y="hexacitiesid", all.x = TRUE)
#
#
#
# bandwi <-bw.gwr(fmla,data=shapeFile, approach="CV",kernel="gaussian",
# adaptive=FALSE,dMat=DM, p=2, theta=0, longlat=F)
#
# gwrmodel <- gwr.basic(fmla, data=shapeFile,bw=bandwi, kernel='gaussian',dMat=DM)
#
# gwrshapeFile<-gwrmodel$SDF
#
#
#
#
#
# leafletProxy("map2", data = gwrshapeFile)%>%
# addProviderTiles(providers$CartoDB.Positron, options = providerTileOptions(noWrap = TRUE))%>%
# clearShapes() %>%
# addPolygons(data = gwrshapeFile, fillColor = "Red", fillOpacity = gwrshapeFile@data$yhat / max(gwrshapeFile@data$yhat),
# color = "white", weight = 0,popup=paste(gwrshapeFile@data$yhat)) %>%
# clearControls() %>%
# addLegend("topleft",
# colors =if(input$resorfit == "Residual"){c("#ff0000", "#ff8686", "#fff", "#7585ff", "#001eff")}else{c("#ff0000", "#ff5200", "#ffaa90", "#ffc8b7", "#ffe2d9")},
# labels= c("+", "","","", "-"),
# title= (input$resorfit),
# opacity = 1)
#
#
# updateSelectInput(session,"resorfitGWR", choices = colnames(gwrshapeFile@data), selected = "yhat")
#
#
#
#
#
# output$predictionGWR <- renderPrint({
# return(gwrmodel)
#
# })
#
#
#
# })
output$map2 <- renderLeaflet({
leaflet(options = leafletOptions(zoomControl = FALSE, minZoom = 12)) %>%
setView(lng = -58.3503847, lat =-34.6198848, zoom = 12)%>%
addProviderTiles(providers$CartoDB.Positron, options = providerTileOptions(noWrap = TRUE))%>%
addLegend("topleft",
colors =c("#ff0000", "#ff8686", "#fff", "#7585ff", "#001eff"),
labels= c("+", "","","", "-"),
title= ("Residual"),
opacity = 1)
})
############################################################
indiceA <- reactive({
datosCSV <- datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
req(input$transA)
if (input$transA == "log10") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data[,2] <- log10(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$transA == "Raiz cuadrada") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data[,2] <- sqrt(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$transA == "^2") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data[,2] <- (indice1data[,2])^2
indice1data2 <- indice1data
}
else if (input$transA == "^1/3") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data[,2] <- (indice1data[,2])^(1/3)
indice1data2 <- indice1data
}
else if (input$transA == "1/x") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data[,2] <- 1/(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$transA == "boxcox") {
indice1data <- datosCSVboxcox[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data2 <- indice1data
}
else
{
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaA))),drop=F]
indice1data2 <- indice1data
}
})
indiceAb <- reactive({
if (input$direccionA == TRUE) {
df1 <- Invertir(indiceA(),2)}
else {
df1 <- indiceA()
}
})
indiceB <- reactive({
datosCSV <- datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
req(input$transB)
if (input$transB == "log10") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data[,2] <- log10(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$transB == "Raiz cuadrada") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data[,2] <- sqrt(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$transB == "^2") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data[,2] <- (indice1data[,2])^2
indice1data2 <- indice1data
}
else if (input$transB == "^1/3") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data[,2] <- (indice1data[,2])^(1/3)
indice1data2 <- indice1data
}
else if (input$transB == "1/x") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data[,2] <- 1/(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$transB == "boxcox") {
indice1data <- datosCSVboxcox[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data2 <- indice1data
}
else
{
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$listaB))),drop=F]
indice1data2 <- indice1data
}
})
indiceBb <- reactive({
if (input$direccionB == TRUE) {
df1 <- Invertir(indiceB(),2)}
else {
df1 <- indiceB()
}
})
############################################################
indice1 <- reactive({
datosCSV<-datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
req(input$trans1)
if (input$trans1 == "log10") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data[,2] <- log10(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans1 == "Raiz cuadrada") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data[,2] <- sqrt(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans1 == "^2") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data[,2] <- (indice1data[,2])^2
indice1data2 <- indice1data
}
else if (input$trans1 == "^1/3") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data[,2] <- (indice1data[,2])^(1/3)
indice1data2 <- indice1data
}
else if (input$trans1 == "1/x") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data[,2] <- 1/(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans1 == "boxcox") {
indice1data <- datosCSVboxcox[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data2 <- indice1data
}
else
{
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista1))),drop=F]
indice1data2 <- indice1data
}
})
indice1b <- reactive({
if (input$direccion1 == TRUE) {
df1 <- Invertir(indice1(),2)}
else {
df1 <- indice1()
}
})
indice2 <- reactive({
datosCSV<-datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
req(input$trans2)
if (input$trans2 == "log10") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data[,2] <- log10(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans2 == "Raiz cuadrada") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data[,2] <- sqrt(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans2 == "^2") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data[,2] <- (indice1data[,2])^2
indice1data2 <- indice1data
}
else if (input$trans2 == "^1/3") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data[,2] <- (indice1data[,2])^(1/3)
indice1data2 <- indice1data
}
else if (input$trans2 == "1/x") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data[,2] <- 1/(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans2 == "boxcox") {
indice1data <- datosCSVboxcox[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data2 <- indice1data
}
else
{
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista2))),drop=F]
indice1data2 <- indice1data
}
})
indice2b <- reactive({
if (input$direccion2 == TRUE) {
df1 <- Invertir(indice2(),2)}
else {
df1 <- indice2()
}
})
indice3 <- reactive({
datosCSV<-datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
req(input$trans3)
if (input$trans3 == "log10") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data[,2] <- log10(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans3 == "Raiz cuadrada") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data[,2] <- sqrt(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans3 == "^2") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data[,2] <- (indice1data[,2])^2
indice1data2 <- indice1data
}
else if (input$trans3 == "^1/3") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data[,2] <- (indice1data[,2])^(1/3)
indice1data2 <- indice1data
}
else if (input$trans3 == "1/x") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data[,2] <- 1/(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans3 == "boxcox") {
indice1data <- datosCSVboxcox[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data2 <- indice1data
}
else
{
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista3))),drop=F]
indice1data2 <- indice1data
}
})
indice3b <- reactive({
if (input$direccion3 == TRUE) {
df1 <- Invertir(indice3(),2)}
else {
df1 <- indice3()
}
})
indice4 <- reactive({
datosCSV<-datosCSVreactive()
datosCSVboxcox <- datosCSVboxcoxreactive()
req(input$trans4)
if (input$trans4 == "log10") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data[,2] <- log10(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans4 == "Raiz cuadrada") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data[,2] <- sqrt(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans4 == "^2") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data[,2] <- (indice1data[,2])^2
indice1data2 <- indice1data
}
else if (input$trans4 == "^1/3") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data[,2] <- (indice1data[,2])^(1/3)
indice1data2 <- indice1data
}
else if (input$trans4 == "1/x") {
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data[,2] <- 1/(indice1data[,2])
indice1data2 <- indice1data
}
else if (input$trans4 == "boxcox") {
indice1data <- datosCSVboxcox[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data2 <- indice1data
}
else
{
indice1data <- datosCSV[,c("hexacities", paste0(DataType(input$lista4))),drop=F]
indice1data2 <- indice1data
}
})
indice4b <- reactive({
if (input$direccion4 == TRUE) {
df1 <- Invertir(indice4(),2)}
else {
df1 <- indice4()
}
})
############################################################
output$histogramaA <- renderPlotly({
histogramaAdata <- indiceAb()
histogramaAdata2 <- histogramaAdata[,2,drop=F]
as.data.frame(names(histogramaAdata2)[1]<-"columna")
histogramaAfit <-density(histogramaAdata2$columna)
m <- list(
l = 0,
r = 0,
b = 0,
t = 0,
pad = 0
)
plot_ly(x = histogramaAfit, type = "histogram", name = "Histogram") %>%
config(displayModeBar = F) %>%
add_trace(cliponaxis = TRUE, x = histogramaAfit$x, y = histogramaAfit$y, type = "scatter", mode = "lines",line = list(color = 'rgb(0, 51, 204)', width = 2), color = 'rgb(0, 0, 153)', fillcolor = '#0782e0',fill = "tozeroy") %>%
layout( xaxis = list( showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = TRUE,
zerolinecolor = 'rgb(200, 200, 200)',
range = c(0, max(histogramaAfit$columna)),
layer = 'below traces'),
yaxis = list(showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = TRUE,
zerolinecolor = 'rgb(200, 200, 200)',
tickfont = list(
family = "Arial",
size = 10,
color = "black"),
showtitle = FALSE,
titlefont =list(
family = "Arial",
size = 10,
color = "black"),
layer = 'below traces',
exponentformat = "e"),
paper_bgcolor='transparent',plot_bgcolor='rgba(0,0,0,0)', showlegend = F, autosize = T, width = 150, height = 75, margin = m)
})
output$histogramaB <- renderPlotly({
histogramaAdata <- indiceBb()
histogramaAdata2 <- histogramaAdata[,2,drop=F]
as.data.frame(names(histogramaAdata2)[1]<-"columna")
histogramaAfit <-density(histogramaAdata2$columna)
m <- list(
l = 0,
r = 0,
b = 0,
t = 0,
pad = 0
)
plot_ly(x = histogramaAfit, type = "histogram", name = "Histogram") %>%
config(displayModeBar = F) %>%
add_trace(cliponaxis = TRUE, x = histogramaAfit$x, y = histogramaAfit$y, type = "scatter", mode = "lines",line = list(color = 'rgb(0, 51, 204)', width = 2), color = 'rgb(0, 0, 153)', fillcolor = '#0782e0',fill = "tozeroy") %>%
layout( xaxis = list( showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = TRUE,
zerolinecolor = 'rgb(200, 200, 200)',
range = c(0, max(histogramaAfit$columna)),
layer = 'below traces'),
yaxis = list(showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = TRUE,
zerolinecolor = 'rgb(200, 200, 200)',
tickfont = list(
family = "Arial",
size = 10,
color = "black"),
showtitle = FALSE,
titlefont =list(
family = "Arial",
size = 10,
color = "black"),
layer = 'below traces',
exponentformat = "e"),
paper_bgcolor='transparent',plot_bgcolor='rgba(0,0,0,0)', showlegend = F, autosize = T, width = 150, height = 75, margin = m)
})
############################################################
output$histograma1 <- renderPlotly({
histograma1data <- indice1b()
histograma1data2 <- histograma1data[,2,drop=F]
as.data.frame(names(histograma1data2)[1]<-"columna")
histograma1fit <-density(histograma1data2$columna)
m <- list(
l = 0,
r = 0,
b = 0,
t = 0,
pad = 0
)
plot_ly(x = histograma1fit, type = "histogram", name = "Histogram") %>%
config(displayModeBar = F) %>%
add_trace(cliponaxis = TRUE, x = histograma1fit$x, y = histograma1fit$y, type = "scatter", mode = "lines",line = list(color = 'rgb(0, 51, 204)', width = 2), color = 'rgb(0, 0, 153)', fillcolor = '#0782e0',fill = "tozeroy") %>%
layout( xaxis = list( showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = TRUE,
zerolinecolor = 'rgb(200, 200, 200)',
range = c(0, max(histograma1fit$columna)),
layer = 'below traces'),
yaxis = list(showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = TRUE,
zerolinecolor = 'rgb(200, 200, 200)',
tickfont = list(
family = "Arial",
size = 10,
color = "black"),
showtitle = FALSE,
titlefont =list(
family = "Arial",
size = 10,
color = "black"),
layer = 'below traces',
exponentformat = "e"),
paper_bgcolor='transparent',plot_bgcolor='rgba(0,0,0,0)', showlegend = F, autosize = T, width = 150, height = 75, margin = m)
})
output$histograma2 <- renderPlotly({
histograma1data <- indice2b()
histograma1data2 <- histograma1data[,2,drop=F]
as.data.frame(names(histograma1data2)[1]<-"columna")
histograma1fit <-density(histograma1data2$columna)