Using multiple reactive values - r

Question

I am trying to create a shiny R application where the user inputs 2 dates: the start date and the end date(assuming that the user will choose either of the dates for a particular week).By choosing the dates the user will be able to see how much he will be selling each item from a list of items next week within those days. I have been provided with data on what percent of total sales happen each day within a week. Using that and using data on sales of each item from past week I have tried to create the app. However I think I am making some error while using the reactive expression. Any help will be greatly appreciated. I have provided the code below.
ui.R
library(shiny)
shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
dateInput('Start_Date',label = "starting on:",value = Sys.Date())
dateInput('End_Date',label = "Ending on:",value = Sys.Date())
),
mainPanel(
tableoutput("mytable")
)
)
))
server.R
library(shiny)
library(stats)
shinyServer(function(input, output) {
Days<-c("Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday")
Percent_sales_by_day<-c(.10,.14,.14,.14,.14,.17,.17)
Data_days<-data.frame(Days,Percent)
items_sold<-c("A","B","C","D")
sales_last_week<-c("100","200","300","800")
Data_sales<-data.frame(items_sold,sales_last_week)
Day_vector<-reactive({
weekdays(seq(as.Date(input$Start_Date),as.Date(input$End_Date),by = "days"))
})
Daily_split_vector<-reactive({
library(dplyr)
Data_days%>%
filter(Days %in% Day_vector())
Data_days$Percent_sales_by_day
})
Daily_split_value<-reactive({
sum(Daily_split_vector())
})
Forecast<-reactive({
Data_sales%>%
mutate(sales_last_week=sales_last_week* Daily_split_value())
})
output$mytable<-renderTable({
Forecast()
})
})

Answer 1

I'm not 100% clear on your underlying objective, but regardless the code below runs for me. I tried to comment all of the changes I made - they were mostly just minor syntactic errors - but let me know if you would like me to clarify anything.
ui.R:
library(shiny)
##
shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
dateInput(
'Start_Date',
label = "starting on:",
value = Sys.Date()
), ## added comma
dateInput(
'End_Date',
label = "Ending on:",
value = Sys.Date())
),
mainPanel(
tableOutput("mytable") ## 'tableOutput' not 'tableoutput'
)
)
))
server.R:
library(shiny)
library(dplyr)
options(stringsAsFactors=F) ## try to avoid factors unless you
## specifically need them
##
shinyServer(function(input, output) {
Days <- c(
"Sunday","Monday","Tuesday","Wednesday",
"Thursday","Friday","Saturday")
Percent_sales_by_day <- c(
.10,.14,.14,.14,.14,.17,.17)
Data_days <- data.frame(
Days,
Percent_sales_by_day) ## changed from 'Percent'
items_sold <- c("A","B","C","D")
sales_last_week <- c(
100,200,300,800) ## changed from character (???) to numeric type
Data_sales <- data.frame(
items_sold,
sales_last_week)
Day_vector <- reactive({
weekdays(
seq.Date(
as.Date(input$Start_Date),
as.Date(input$End_Date),
by = "day"))
})
Daily_split_vector <- reactive({
Data_days %>%
filter(Days %in% Day_vector()) %>% ## added pipe
## Data_days$Percent_sales_by_day ## changed this line
select(Percent_sales_by_day) ## to this line
})
Daily_split_value <- reactive({
sum(Daily_split_vector())
})
Forecast <- reactive({
Data_sales%>%
mutate(
sales_last_week=sales_last_week* Daily_split_value())
})
output$mytable <- renderTable({
Forecast()
})
})