inst/apps/distribution_bisa_functions/server.R

In teachingApps: Apps for Teaching Statistics, R Programming, and Shiny App Development

server = function(input, output, session) {

t <-  reactive({ signif(seq(input$rangebisa[1], input$rangebisa[2],length = 500), digits = 4) })
p <-  reactive({ signif(seq(0, 1, length = 500), digits = 4)  })
C <-  reactive({ pbisa(t(), input$be.bisa,input$th.bisa) })
P <-  reactive({ dbisa(t(), input$be.bisa,input$th.bisa)})
R <-  reactive({ 1-C()})
h <-  reactive({exp(log(P())-log(R()))})
H <-  reactive({ -1*log(1-pbisa(t(), input$be.bisa,input$th.bisa))})
Q <-  reactive({ qbisa(p(), input$be.bisa,input$th.bisa)})
df <- reactive({data.frame(Time = t(),PROB = p(), CDF = C(),PDF = P(),REL = R(),haz = h(),HAZ = H(), QUANT = Q())})

output$bisaC <- renderMetricsgraphics({
  mjs_plot(df(), x = Time, y = CDF, decimals = 4, top = 0) %>%
  mjs_line(area = TRUE) %>%
  mjs_labs(x_label = 'Time (t)', y_label = 'F(t)')%>%
  mjs_add_css_rule("{{ID}} .mg-active-datapoint { font-size: 20pt }")
}) 
output$bisaP <- renderMetricsgraphics({
  mjs_plot(df(), x = Time, y = PDF, decimals = 4) %>%
  mjs_line(area = TRUE) %>%
  mjs_labs(x_label = 'Time (t)', y_label = 'f(t)') %>%
  mjs_add_css_rule("{{ID}} .mg-active-datapoint { font-size: 20pt }")
})
output$bisaR <- renderMetricsgraphics({
  mjs_plot(df(), x = Time, y = REL, decimals = 4) %>%
  mjs_line(area = TRUE) %>%
  mjs_labs(x_label = 'Time (t)', y_label = 'S(t)') %>%
  mjs_add_css_rule("{{ID}} .mg-active-datapoint { font-size: 20pt }")
})
output$bisah <- renderMetricsgraphics({
  mjs_plot(df(), x = Time, y = haz, decimals = 4) %>%
  mjs_line(area = TRUE) %>%
  mjs_labs(x_label = 'Time (t)', y_label = 'h(t)') %>%
  mjs_add_css_rule("{{ID}} .mg-active-datapoint { font-size: 20pt }")
})
output$bisaH <- renderMetricsgraphics({
  mjs_plot(df(), x = Time, y = HAZ, decimals = 4) %>%
  mjs_line(area = TRUE) %>%
  mjs_labs(x_label = 'Time (t)', y_label = 'H(t)') %>%
  mjs_add_css_rule("{{ID}} .mg-active-datapoint { font-size: 20pt }")
})
output$bisaQ <- renderMetricsgraphics({
  mjs_plot(df(), x = PROB, y = QUANT, decimals = 4) %>%
  mjs_line(area = TRUE) %>%
  mjs_labs(x_label = 'Probability (p)', y_label = 't(p)') %>%
  mjs_add_css_rule("{{ID}} .mg-active-datapoint { font-size: 20pt }")
})
}