基于线条斜率的线条颜色
Line colour based on slope of line
我想创建一个财务分析应用程序，我已经准备好代码但是
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:34]),
aes(x= Data[c(2:34),4] , y= proftrend,
group = 1))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90)
但我想要类似颜色取决于直线斜率的东西。就像如果斜率是正的，它应该是绿色的，如果是负的，它应该是红色的。还有一些像热量，其中颜色在斜率上的值。喜欢
-6 <- 栗色
-1 <- 红色
0 <- 白色
1 <- 红色
6 <- 深绿色
有办法吗？我的数据就像
那么利润（收入-支出）越多颜色越浓？
完整代码为
library(shiny)
library(ggplot2)
ui <- fluidPage(
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"),#Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc",
"Expenditure" = "exp",
"Compare Income And
Expenditure" = "cmp",
"Gross Profit" = "gprofit",
"Net Profit" = "nprofit",
"Profit Lost" = "plost",
"Profit Percent" = "pp",
"Profit Trend" = "proftrend"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,3]- Data[ ,2])
nprofit <- c(gprofit - (gprofit*0.06))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:34]-gprofit[1:33])
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot()+
geom_line(data = Data, aes(x= Data[,4], y= inc,
group = 1), col = "green")
+ geom_line(data = Data, aes(x= Data[,4], y= exp,
group =1), col = "red")+
xlab("Dates")+ ylab("Income (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:34]),
aes(x= Data[c(2:34),4] , y= proftrend,
group = 1))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
)
)
}
)
}
# Run the application
shinyApp(ui = ui, server = server)
请帮忙。谢谢。
根据@Henrik 进行更改，但创建一个函数来计算斜率，然后将其命名为
color = slope > 0
您的完整代码为：-
library(shiny)
library(ggplot2)
ui <- fluidPage(
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"),#Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc",
"Expenditure" = "exp",
"Compare Income And
Expenditure" = "cmp",
"Gross Profit" = "gprofit",
"Net Profit" = "nprofit",
"Profit Lost" = "plost",
"Profit Percent" = "pp",
"Profit Trend" = "proftrend"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,3]- Data[ ,2])
nprofit <- c(gprofit - (gprofit*0.06))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:34]-gprofit[1:33])
slope = c(((proftrend[2:33]-proftrend[1:32])/1),0)
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot()+
geom_line(data = Data, aes(x= Data[,4], y= inc,
group = 1), col = "green")
+ geom_line(data = Data, aes(x= Data[,4], y= exp,
group =1), col = "red")+
xlab("Dates")+ ylab("Income (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:34]),
aes(x= Data[c(2:34),4] , y= proftrend,
group = 1, color = slope > 0))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
)
)
}
)
}
# Run the application
shinyApp(ui = ui, server = server)
我想创建一个财务分析应用程序，我已经准备好代码但是
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:34]),
aes(x= Data[c(2:34),4] , y= proftrend,
group = 1))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90)
但我想要类似颜色取决于直线斜率的东西。就像如果斜率是正的，它应该是绿色的，如果是负的，它应该是红色的。还有一些像热量，其中颜色在斜率上的值。喜欢
-6 <- 栗色
-1 <- 红色
0 <- 白色
1 <- 红色
6 <- 深绿色 有办法吗？我的数据就像
那么利润（收入-支出）越多颜色越浓？
完整代码为
library(shiny)
library(ggplot2)
ui <- fluidPage(
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"),#Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc",
"Expenditure" = "exp",
"Compare Income And
Expenditure" = "cmp",
"Gross Profit" = "gprofit",
"Net Profit" = "nprofit",
"Profit Lost" = "plost",
"Profit Percent" = "pp",
"Profit Trend" = "proftrend"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,3]- Data[ ,2])
nprofit <- c(gprofit - (gprofit*0.06))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:34]-gprofit[1:33])
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot()+
geom_line(data = Data, aes(x= Data[,4], y= inc,
group = 1), col = "green")
+ geom_line(data = Data, aes(x= Data[,4], y= exp,
group =1), col = "red")+
xlab("Dates")+ ylab("Income (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:34]),
aes(x= Data[c(2:34),4] , y= proftrend,
group = 1))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
)
)
}
)
}
# Run the application
shinyApp(ui = ui, server = server)
请帮忙。谢谢。
根据@Henrik 进行更改，但创建一个函数来计算斜率，然后将其命名为
color = slope > 0
您的完整代码为：-
library(shiny)
library(ggplot2)
ui <- fluidPage(
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"),#Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc",
"Expenditure" = "exp",
"Compare Income And
Expenditure" = "cmp",
"Gross Profit" = "gprofit",
"Net Profit" = "nprofit",
"Profit Lost" = "plost",
"Profit Percent" = "pp",
"Profit Trend" = "proftrend"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,3]- Data[ ,2])
nprofit <- c(gprofit - (gprofit*0.06))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:34]-gprofit[1:33])
slope = c(((proftrend[2:33]-proftrend[1:32])/1),0)
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot()+
geom_line(data = Data, aes(x= Data[,4], y= inc,
group = 1), col = "green")
+ geom_line(data = Data, aes(x= Data[,4], y= exp,
group =1), col = "red")+
xlab("Dates")+ ylab("Income (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:34]),
aes(x= Data[c(2:34),4] , y= proftrend,
group = 1, color = slope > 0))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
)
)
}
)
}
# Run the application
shinyApp(ui = ui, server = server)