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server.R
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server.R
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shinyServer(function(input, output, session) {
theData <- reactive({
daily_frame <- as.data.frame(daily_frame)
daily_frame$Date <- as.Date(daily_frame$Date, format="%Y-%m-%d", origin="1970-01-01")
daily_frame
})
theFullData <- reactive({
full_data <- as.data.frame(full_data)
full_data$Date <- as.Date(full_data$Date, format="%Y-%m-%d", origin="1970-01-01")
full_data
})
theCountries <- reactive({
unique(daily_frame$country)
})
theClasses <- reactive({
unique(daily_frame$class)
})
theClassesSelected <- reactive({
if(input$useallclasses==TRUE){
unique(daily_frame$class)
} else if(input$useallclasses==FALSE){
"Tanks"
}
})
theSystems <- reactive({
unique(daily_frame[daily_frame$class %in% theClassesSelected(),]$system)
})
theSystemsSelected <- reactive({
selected <- input$classes
all_of_them <- unique(daily_frame[daily_frame$class %in% selected ,]$system)
if(input$useallsystems==TRUE){
all_of_them
} else if(input$useallsystems==FALSE){
names(sort(table(all_of_them), decreasing = TRUE)[1])
}
})
theOutcomes <- reactive({
unique(daily_frame$status)
})
output$countriesui <- renderUI({
selectInput("countries", "Countries", choices=theCountries(), selected=theCountries(), multiple=TRUE)
})
output$outcomesui <- renderUI({
selectInput("outcomes", "Status", choices=theOutcomes(), selected=theOutcomes(), multiple=TRUE)
})
output$classesui <- renderUI({
selectInput("classes", "Classes", choices=theClasses(), selected=theClassesSelected(), multiple=TRUE)
})
output$systemsui <- renderUI({
selectInput("systems", "Systems", choices=theSystems(), selected=theSystemsSelected(), multiple=TRUE)
})
dataRawRussia <- reactive({
the_data <- theData()
the_data <- the_data[the_data$country %in% "Russia",]
the_outcomes <- input$outcomes
the_classes <- input$classes
the_systems <- input$systems
the_data_mod <- the_data[the_data$system %in% the_systems,]
the_data_mod
})
output$russiaunits <- renderDataTable({
table <- dataRawRussia()
table$url <- paste0("<a href='", table$url, "'target='_blank'>", table$url, "</a>")
table <- DT::datatable(table, escape=FALSE)
table
}, escape=FALSE)
dataFullRussia <- reactive({
the_data <- dataRawRussia()
the_data <- the_data[the_data$country %in% "Russia",]
the_outcomes <- input$outcomes
the_classes <- input$classes
the_systems <- input$systems
the_data_mod <- the_data[the_data$system %in% the_systems,]
the_data_mod
})
dataModRussia <- reactive({
the_outcomes <- input$outcomes
the_classes <- input$classes
the_systems <- input$sytems
the_data_mod <- dataFullRussia()
the_data_mod <- the_data_mod[order(the_data_mod$Date), ]
the_data_tidy <- date_crunch(the_data_mod)
the_data_tidy <- the_data_tidy[order(the_data_tidy$Date), ]
if(length(the_outcomes) < 4){
the_data_tidy <- the_data_tidy %>% dplyr::rowwise() %>%
dplyr::mutate(total = sum(dplyr::c_across(the_outcomes)))
}
the_data_tidy <- the_data_tidy[order(the_data_tidy$Date), ]
#the_data_list <- split(the_data_tidy, f=the_data_tidy$class)
#data_class_list <- list()
#for(i in names(the_data_list)){
# data_class_list[[i]] <- the_data_list[[i]] %>%
# mutate(total_count = cumsum(total)) %>%
# mutate(cum_rolling10 = rollapplyr(total, width = 10, FUN = sum, partial = TRUE)) %>%
# drop_na(total_count)
#}
#data_class_frame <- rbindlist(data_class_list, use.names=TRUE, fill=TRUE)
data_class_frame <- the_data_tidy %>%
mutate(total_count = cumsum(total)) %>%
mutate(cum_rolling10 = rollapplyr(total, width = 10, FUN = sum, partial = TRUE)) %>%
drop_na(total_count)
data_class_frame <- data_class_frame[order(data_class_frame$Date), ]
data_class_frame
})
dataRawUkraine <- reactive({
the_data <- theData()
the_data <- the_data[the_data$country %in% "Ukraine",]
the_outcomes <- input$outcomes
the_classes <- input$classes
the_systems <- input$systems
the_data_mod <- the_data[the_data$system %in% the_systems,]
the_data_mod
})
output$ukraineunits <- renderDataTable({
table <- dataRawUkraine()
table$url <- paste0("<a href='", table$url, "'target='_blank'>", table$url, "</a>")
table <- DT::datatable(table, escape=FALSE)
table
}, escape=FALSE)
dataFullUkraine <- reactive({
the_data <- theFullData()
the_data <- the_data[the_data$country %in% "Ukraine",]
the_outcomes <- input$outcomes
the_classes <- input$classes
the_systems <- input$systems
the_data_mod <- the_data[the_data$system %in% the_systems,]
the_data_mod
})
dataModUkraine <- reactive({
the_outcomes <- input$outcomes
the_classes <- input$classes
the_systems <- input$sytems
the_data_mod <- dataRawUkraine()
the_data_mod <- the_data_mod[order(the_data_mod$Date), ]
the_data_tidy <- date_crunch(the_data_mod)
the_data_tidy <- the_data_tidy[order(the_data_tidy$Date), ]
if(length(the_outcomes) < 4){
the_data_tidy <- the_data_tidy %>% dplyr::rowwise() %>%
dplyr::mutate(total = sum(dplyr::c_across(the_outcomes)))
}
the_data_tidy <- the_data_tidy[order(the_data_tidy$Date), ]
#the_data_list <- split(the_data_tidy, f=the_data_tidy$class)
#data_class_list <- list()
#for(i in names(the_data_list)){
# data_class_list[[i]] <- the_data_list[[i]] %>%
# mutate(total_count = cumsum(total)) %>%
# mutate(cum_rolling10 = rollapplyr(total, width = 10, FUN = sum, partial = TRUE)) %>%
# drop_na(total_count)
#}
#data_class_frame <- rbindlist(data_class_list, use.names=TRUE, fill=TRUE)
data_class_frame <- the_data_tidy %>%
mutate(total_count = cumsum(total)) %>%
mutate(cum_rolling10 = rollapplyr(total, width = 10, FUN = sum, partial = TRUE)) %>%
drop_na(total_count)
data_class_frame <- data_class_frame[order(data_class_frame$Date), ]
data_class_frame
})
dataMod <- reactive({
russia <- dataModRussia()
ukraine <- dataModUkraine()
data_merged <- as.data.frame(rbindlist(list(russia, ukraine), use.names=TRUE, fill=TRUE))
data_merged <- data_merged[order(data_merged$Date), ]
data_merged
})
bulkPlot <- reactive({
data_class_frame <- dataMod()
ggplot(data_class_frame, aes(Date, total_count, colour=country, shape=country)) +
stat_smooth(method="gam") +
geom_point() +
scale_x_date(date_labels = "%m/%d") +
scale_y_continuous("Equipment Lost") +
theme_light()
})
output$bulkplot <- renderPlot({
bulkPlot()
})
})