Shiny plot not updatingHow to make a great R reproducible examplePlot two graphs in same plot in RSave plots made in a shiny appScale and size of plot in RStudio shinyUpdate plot within observer loop in shiny applicationScaling shiny plots to window heightDynamic plot height in Shinyupdating plot output in shiny rShiny - plot with renderUI not display in shinyDelay update to R Shiny multiple-plot appUpdate dynamically created plot in R Shiny

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Shiny plot not updating


How to make a great R reproducible examplePlot two graphs in same plot in RSave plots made in a shiny appScale and size of plot in RStudio shinyUpdate plot within observer loop in shiny applicationScaling shiny plots to window heightDynamic plot height in Shinyupdating plot output in shiny rShiny - plot with renderUI not display in shinyDelay update to R Shiny multiple-plot appUpdate dynamically created plot in R Shiny






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








0















I am trying to plot in the shiny using the below outputplot



I am new o shiny not able to understand where i am making mistake.



server <- function(input, output) {

#Test1 Function ti create the required table

Test1 <- function(df)

xx1 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(Freq = length(Quarter)) %>% mutate(FreqbyPercentage = round(((Freq/sum(Freq))*100),0))
xx1 <- data.frame(xx1)
xx2 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TNRinM = sum(TNRinM,na.rm = T)) %>% mutate(TNRinMPercentage = round(((TNRinM/sum(TNRinM))*100),0))
xx2 <- data.frame(xx2)
xx3 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TCNRinM = sum(TCNRinM,na.rm = T)) %>% mutate(TCNRinMPercentage = round(((TCNRinM/sum(TCNRinM))*100),0))
xx3 <- data.frame(xx3)

YY <- cbind(xx1,xx2[,(4:5)],xx3[,(4:5)])
YY <- data.frame(YY,stringsAsFactors = FALSE)

YY


#Test10 Function to use GGplot

Test10 <- function(df,y)

arg <- match.call()

p <- ggplot(df(),
aes(x=Quarter, y= eval(arg$y) , group= RiskTierDesc , colour= RiskTierDesc )) +
geom_line(aes(size= RiskTierDesc)) +
#geom_point() + ylim(0,ifelse (input$app == "Risk tier by Count",2000,10000)) +
geom_point() +
#expand_limits(y=0) +
scale_y_continuous(breaks = seq(0, 10000, 500)) +
scale_color_manual(values=c("red","orange","green")) +
scale_size_manual(values=c(1,1,1)) +
labs( x = "Quarter", y = ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
ggtitle(ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
geom_text(aes(label = eval(arg$y)), position = position_dodge(0),vjust = -0.2) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())

p



dataInput <- reactive(

qfrom <- File$QuarterInNum[match(input$Quarter[1], File$Quarter)]
qto <- File$QuarterInNum[match(input$Quarter[2], File$Quarter)]
test <- File[File$QuarterInNum %in% seq(from=qfrom,to=qto),]

test
)


output$k<- renderPlot(

if(!is.null(input$app)) File <- Test1(oppid)
plot(Test10(dataInput,Freq))
)


I want to get whenever the slider input app is not null
Test1 function should execute with the parameter oppid and load it the File.



Next it should plot using Test10 function using the parameted dataInput and Freq.



Please note dataInput is reactive which use File.










share|improve this question


























  • You don't seem to be using any reactive elements here. I recommend you take time to follow a simple Shiny tutorial first like those available here: rstudio.com/resources/webinars/shiny-developer-conference That will give you a good understanding of how Shiny applications should look and work.

    – MrFlick
    Mar 27 at 14:43











  • @MrFlick Sorry i missed the reactive part in my code to add. I added it now.

    – JK1185
    Mar 27 at 15:14











  • No, it's that your Test10 isn't reative. If you use stuff like match.call() then Shiny isn't going to be able to see dependencies. You should not use input$ in bodies of non-reactive functions. You should pass in those values are parameter so renderPlot() can see the input$ so it knows it's a dependency. Again I would urge you to follow those basic guides first to see how it's supposed to work. And when asking for help, it's best to include a proper reproducible example we can run for testing.

    – MrFlick
    Mar 27 at 15:27











  • @MrFlick Sure Thank you

    – JK1185
    Mar 27 at 15:30

















0















I am trying to plot in the shiny using the below outputplot



I am new o shiny not able to understand where i am making mistake.



server <- function(input, output) {

#Test1 Function ti create the required table

Test1 <- function(df)

xx1 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(Freq = length(Quarter)) %>% mutate(FreqbyPercentage = round(((Freq/sum(Freq))*100),0))
xx1 <- data.frame(xx1)
xx2 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TNRinM = sum(TNRinM,na.rm = T)) %>% mutate(TNRinMPercentage = round(((TNRinM/sum(TNRinM))*100),0))
xx2 <- data.frame(xx2)
xx3 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TCNRinM = sum(TCNRinM,na.rm = T)) %>% mutate(TCNRinMPercentage = round(((TCNRinM/sum(TCNRinM))*100),0))
xx3 <- data.frame(xx3)

YY <- cbind(xx1,xx2[,(4:5)],xx3[,(4:5)])
YY <- data.frame(YY,stringsAsFactors = FALSE)

YY


#Test10 Function to use GGplot

Test10 <- function(df,y)

arg <- match.call()

p <- ggplot(df(),
aes(x=Quarter, y= eval(arg$y) , group= RiskTierDesc , colour= RiskTierDesc )) +
geom_line(aes(size= RiskTierDesc)) +
#geom_point() + ylim(0,ifelse (input$app == "Risk tier by Count",2000,10000)) +
geom_point() +
#expand_limits(y=0) +
scale_y_continuous(breaks = seq(0, 10000, 500)) +
scale_color_manual(values=c("red","orange","green")) +
scale_size_manual(values=c(1,1,1)) +
labs( x = "Quarter", y = ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
ggtitle(ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
geom_text(aes(label = eval(arg$y)), position = position_dodge(0),vjust = -0.2) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())

p



dataInput <- reactive(

qfrom <- File$QuarterInNum[match(input$Quarter[1], File$Quarter)]
qto <- File$QuarterInNum[match(input$Quarter[2], File$Quarter)]
test <- File[File$QuarterInNum %in% seq(from=qfrom,to=qto),]

test
)


output$k<- renderPlot(

if(!is.null(input$app)) File <- Test1(oppid)
plot(Test10(dataInput,Freq))
)


I want to get whenever the slider input app is not null
Test1 function should execute with the parameter oppid and load it the File.



Next it should plot using Test10 function using the parameted dataInput and Freq.



Please note dataInput is reactive which use File.










share|improve this question


























  • You don't seem to be using any reactive elements here. I recommend you take time to follow a simple Shiny tutorial first like those available here: rstudio.com/resources/webinars/shiny-developer-conference That will give you a good understanding of how Shiny applications should look and work.

    – MrFlick
    Mar 27 at 14:43











  • @MrFlick Sorry i missed the reactive part in my code to add. I added it now.

    – JK1185
    Mar 27 at 15:14











  • No, it's that your Test10 isn't reative. If you use stuff like match.call() then Shiny isn't going to be able to see dependencies. You should not use input$ in bodies of non-reactive functions. You should pass in those values are parameter so renderPlot() can see the input$ so it knows it's a dependency. Again I would urge you to follow those basic guides first to see how it's supposed to work. And when asking for help, it's best to include a proper reproducible example we can run for testing.

    – MrFlick
    Mar 27 at 15:27











  • @MrFlick Sure Thank you

    – JK1185
    Mar 27 at 15:30













0












0








0








I am trying to plot in the shiny using the below outputplot



I am new o shiny not able to understand where i am making mistake.



server <- function(input, output) {

#Test1 Function ti create the required table

Test1 <- function(df)

xx1 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(Freq = length(Quarter)) %>% mutate(FreqbyPercentage = round(((Freq/sum(Freq))*100),0))
xx1 <- data.frame(xx1)
xx2 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TNRinM = sum(TNRinM,na.rm = T)) %>% mutate(TNRinMPercentage = round(((TNRinM/sum(TNRinM))*100),0))
xx2 <- data.frame(xx2)
xx3 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TCNRinM = sum(TCNRinM,na.rm = T)) %>% mutate(TCNRinMPercentage = round(((TCNRinM/sum(TCNRinM))*100),0))
xx3 <- data.frame(xx3)

YY <- cbind(xx1,xx2[,(4:5)],xx3[,(4:5)])
YY <- data.frame(YY,stringsAsFactors = FALSE)

YY


#Test10 Function to use GGplot

Test10 <- function(df,y)

arg <- match.call()

p <- ggplot(df(),
aes(x=Quarter, y= eval(arg$y) , group= RiskTierDesc , colour= RiskTierDesc )) +
geom_line(aes(size= RiskTierDesc)) +
#geom_point() + ylim(0,ifelse (input$app == "Risk tier by Count",2000,10000)) +
geom_point() +
#expand_limits(y=0) +
scale_y_continuous(breaks = seq(0, 10000, 500)) +
scale_color_manual(values=c("red","orange","green")) +
scale_size_manual(values=c(1,1,1)) +
labs( x = "Quarter", y = ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
ggtitle(ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
geom_text(aes(label = eval(arg$y)), position = position_dodge(0),vjust = -0.2) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())

p



dataInput <- reactive(

qfrom <- File$QuarterInNum[match(input$Quarter[1], File$Quarter)]
qto <- File$QuarterInNum[match(input$Quarter[2], File$Quarter)]
test <- File[File$QuarterInNum %in% seq(from=qfrom,to=qto),]

test
)


output$k<- renderPlot(

if(!is.null(input$app)) File <- Test1(oppid)
plot(Test10(dataInput,Freq))
)


I want to get whenever the slider input app is not null
Test1 function should execute with the parameter oppid and load it the File.



Next it should plot using Test10 function using the parameted dataInput and Freq.



Please note dataInput is reactive which use File.










share|improve this question
















I am trying to plot in the shiny using the below outputplot



I am new o shiny not able to understand where i am making mistake.



server <- function(input, output) {

#Test1 Function ti create the required table

Test1 <- function(df)

xx1 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(Freq = length(Quarter)) %>% mutate(FreqbyPercentage = round(((Freq/sum(Freq))*100),0))
xx1 <- data.frame(xx1)
xx2 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TNRinM = sum(TNRinM,na.rm = T)) %>% mutate(TNRinMPercentage = round(((TNRinM/sum(TNRinM))*100),0))
xx2 <- data.frame(xx2)
xx3 <- group_by_at(df,vars(Quarter,QuarterInNum,RiskTierDesc)) %>% summarise(TCNRinM = sum(TCNRinM,na.rm = T)) %>% mutate(TCNRinMPercentage = round(((TCNRinM/sum(TCNRinM))*100),0))
xx3 <- data.frame(xx3)

YY <- cbind(xx1,xx2[,(4:5)],xx3[,(4:5)])
YY <- data.frame(YY,stringsAsFactors = FALSE)

YY


#Test10 Function to use GGplot

Test10 <- function(df,y)

arg <- match.call()

p <- ggplot(df(),
aes(x=Quarter, y= eval(arg$y) , group= RiskTierDesc , colour= RiskTierDesc )) +
geom_line(aes(size= RiskTierDesc)) +
#geom_point() + ylim(0,ifelse (input$app == "Risk tier by Count",2000,10000)) +
geom_point() +
#expand_limits(y=0) +
scale_y_continuous(breaks = seq(0, 10000, 500)) +
scale_color_manual(values=c("red","orange","green")) +
scale_size_manual(values=c(1,1,1)) +
labs( x = "Quarter", y = ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
ggtitle(ifelse (input$app == "Risk tier by Count","Freq",ifelse(input$app == "Risk tier by TR","TotalNRinM","TotalCNRinM"))) +
geom_text(aes(label = eval(arg$y)), position = position_dodge(0),vjust = -0.2) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())

p



dataInput <- reactive(

qfrom <- File$QuarterInNum[match(input$Quarter[1], File$Quarter)]
qto <- File$QuarterInNum[match(input$Quarter[2], File$Quarter)]
test <- File[File$QuarterInNum %in% seq(from=qfrom,to=qto),]

test
)


output$k<- renderPlot(

if(!is.null(input$app)) File <- Test1(oppid)
plot(Test10(dataInput,Freq))
)


I want to get whenever the slider input app is not null
Test1 function should execute with the parameter oppid and load it the File.



Next it should plot using Test10 function using the parameted dataInput and Freq.



Please note dataInput is reactive which use File.







r shiny






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 27 at 15:13







JK1185

















asked Mar 27 at 14:39









JK1185JK1185

276 bronze badges




276 bronze badges















  • You don't seem to be using any reactive elements here. I recommend you take time to follow a simple Shiny tutorial first like those available here: rstudio.com/resources/webinars/shiny-developer-conference That will give you a good understanding of how Shiny applications should look and work.

    – MrFlick
    Mar 27 at 14:43











  • @MrFlick Sorry i missed the reactive part in my code to add. I added it now.

    – JK1185
    Mar 27 at 15:14











  • No, it's that your Test10 isn't reative. If you use stuff like match.call() then Shiny isn't going to be able to see dependencies. You should not use input$ in bodies of non-reactive functions. You should pass in those values are parameter so renderPlot() can see the input$ so it knows it's a dependency. Again I would urge you to follow those basic guides first to see how it's supposed to work. And when asking for help, it's best to include a proper reproducible example we can run for testing.

    – MrFlick
    Mar 27 at 15:27











  • @MrFlick Sure Thank you

    – JK1185
    Mar 27 at 15:30

















  • You don't seem to be using any reactive elements here. I recommend you take time to follow a simple Shiny tutorial first like those available here: rstudio.com/resources/webinars/shiny-developer-conference That will give you a good understanding of how Shiny applications should look and work.

    – MrFlick
    Mar 27 at 14:43











  • @MrFlick Sorry i missed the reactive part in my code to add. I added it now.

    – JK1185
    Mar 27 at 15:14











  • No, it's that your Test10 isn't reative. If you use stuff like match.call() then Shiny isn't going to be able to see dependencies. You should not use input$ in bodies of non-reactive functions. You should pass in those values are parameter so renderPlot() can see the input$ so it knows it's a dependency. Again I would urge you to follow those basic guides first to see how it's supposed to work. And when asking for help, it's best to include a proper reproducible example we can run for testing.

    – MrFlick
    Mar 27 at 15:27











  • @MrFlick Sure Thank you

    – JK1185
    Mar 27 at 15:30
















You don't seem to be using any reactive elements here. I recommend you take time to follow a simple Shiny tutorial first like those available here: rstudio.com/resources/webinars/shiny-developer-conference That will give you a good understanding of how Shiny applications should look and work.

– MrFlick
Mar 27 at 14:43





You don't seem to be using any reactive elements here. I recommend you take time to follow a simple Shiny tutorial first like those available here: rstudio.com/resources/webinars/shiny-developer-conference That will give you a good understanding of how Shiny applications should look and work.

– MrFlick
Mar 27 at 14:43













@MrFlick Sorry i missed the reactive part in my code to add. I added it now.

– JK1185
Mar 27 at 15:14





@MrFlick Sorry i missed the reactive part in my code to add. I added it now.

– JK1185
Mar 27 at 15:14













No, it's that your Test10 isn't reative. If you use stuff like match.call() then Shiny isn't going to be able to see dependencies. You should not use input$ in bodies of non-reactive functions. You should pass in those values are parameter so renderPlot() can see the input$ so it knows it's a dependency. Again I would urge you to follow those basic guides first to see how it's supposed to work. And when asking for help, it's best to include a proper reproducible example we can run for testing.

– MrFlick
Mar 27 at 15:27





No, it's that your Test10 isn't reative. If you use stuff like match.call() then Shiny isn't going to be able to see dependencies. You should not use input$ in bodies of non-reactive functions. You should pass in those values are parameter so renderPlot() can see the input$ so it knows it's a dependency. Again I would urge you to follow those basic guides first to see how it's supposed to work. And when asking for help, it's best to include a proper reproducible example we can run for testing.

– MrFlick
Mar 27 at 15:27













@MrFlick Sure Thank you

– JK1185
Mar 27 at 15:30





@MrFlick Sure Thank you

– JK1185
Mar 27 at 15:30












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