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updated npRCT app to include text output for main findings
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.Rproj.user | ||
.Rhistory | ||
.RData | ||
.Ruserdata |
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Version: 1.0 | ||
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RestoreWorkspace: Default | ||
SaveWorkspace: Default | ||
AlwaysSaveHistory: Default | ||
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EnableCodeIndexing: Yes | ||
UseSpacesForTab: Yes | ||
NumSpacesForTab: 6 | ||
Encoding: UTF-8 | ||
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RnwWeave: Sweave | ||
LaTeX: pdfLaTeX |
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# -------------------------------------------------------- | ||
# -----------------Server--------------------------------- | ||
# -------------------------------------------------------- | ||
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## Load Packages | ||
library("shiny") | ||
library("semantic.dashboard") | ||
library("pwr") | ||
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server <- function(input, output) { | ||
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# ---------------General npRCT function------------- | ||
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npRCT <- reactive({ | ||
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# Run power calculation for first t-test (traditional part of RCST) | ||
t1 <- pwr.t.test(d = input$d1, | ||
sig.level = input$sig.level1, | ||
power = input$power1, | ||
alternative = input$alternative1, | ||
type = "two.sample") | ||
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# Run power calculation for second t-test (stratified part of RCST) | ||
t2 <- pwr.t.test(d = input$d2, sig.level = input$sig.level2, power = input$power2, | ||
type = "two.sample", | ||
alternative = input$alternative2) | ||
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# Compute sample sizes (per group) | ||
n1 = ceiling(t1$n) | ||
n2 = t2$n | ||
n2_rct = ceiling(n2 / 2) # n still traditionally randomised in stratified part | ||
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# Compute output | ||
n_strat = n1 - n2_rct | ||
n_total = n_strat + n2 | ||
n_saved = (n1 + n2) - n_total | ||
n_ind = n1 + n2 | ||
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# Save output | ||
npRCT <- data.frame(n_total = round(n_total), | ||
n_strat = n_strat, | ||
n_saved = n_saved, | ||
n_ind = n_ind) | ||
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# Return output | ||
npRCT | ||
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}) | ||
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# ---------------Define output as text-------------- | ||
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output$n_total <- renderText({ | ||
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temp <- npRCT() | ||
as.character(temp$n_total) | ||
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}) | ||
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output$n_strat <- renderText({ | ||
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temp <- npRCT() | ||
as.character(temp$n_strat) | ||
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}) | ||
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output$n_saved <- renderText({ | ||
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temp <- npRCT() | ||
as.character(temp$n_saved) | ||
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}) | ||
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} |
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# -------------------------------------------------------- | ||
# -----------------User Interface------------------------- | ||
# -------------------------------------------------------- | ||
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## Load Packages | ||
library("shiny") | ||
library("semantic.dashboard") | ||
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ui <- dashboardPage( | ||
dashboardHeader(title = "nested-precision Randomised Controlled Trial (npRCT) | ||
Power Calculation"), | ||
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dashboardSidebar( | ||
side = "left", | ||
color = "blue", | ||
size = "thin", | ||
helpText("This is a help text."), | ||
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), | ||
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# ----------------dashboardBody--------------------- | ||
dashboardBody( | ||
fluidRow( | ||
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# ----------Power Analysis Output--------- | ||
box( | ||
title = "Power Analysis", | ||
color = "blue", | ||
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h1("npRCT"), | ||
p("Below you can find results from power analysis for the", strong("nested-precision Randomised Controlled Trial (npRCT)"),". You can set parameters for power analysis in the box to the right. Results from power analysis will change accordingly below."), | ||
box(title = "Results", | ||
h3("Total Sample Size"), | ||
textOutput("n_total"), | ||
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h3("Point of Stratification"), | ||
textOutput("n_strat"), | ||
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h3("Saved Sample Size"), | ||
textOutput("n_saved") | ||
) | ||
), | ||
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# ----------Set RCT Parameters------------ | ||
box( | ||
title = "Set Parameters", | ||
color = "blue", | ||
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# ----------Traditional RCT Parameters------------ | ||
h3("Traditional RCT"), | ||
sliderInput("d1", | ||
"Effect Size", | ||
step = 0.01, | ||
min = 0, | ||
max = 1, | ||
value = 0.5), | ||
br(), | ||
sliderInput("power1", | ||
"Power", | ||
step = 0.01, | ||
min = 0.5, | ||
max = 1, | ||
value = 0.8), | ||
br(), | ||
sliderInput("sig.level1", | ||
"Significance Level", | ||
step = 0.001, | ||
min = 0.001, | ||
max = 0.1, | ||
value = 0.05), | ||
br(), | ||
radioButtons("alternative1", | ||
NULL, | ||
c("Two Sided Test"= "two.sided", | ||
"One Sided Test"= "greater"), | ||
selected = "two.sided"), | ||
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# ----------Precision RCT Parameters------------ | ||
h3("Precision RCT"), | ||
sliderInput("d2", | ||
"Effect Size", | ||
step = 0.01, | ||
min = 0, | ||
max = 1, | ||
value = 0.5), | ||
br(), | ||
sliderInput("power2", | ||
"Power", | ||
step = 0.01, | ||
min = 0.5, | ||
max = 1, | ||
value = 0.8), | ||
br(), | ||
sliderInput("sig.level2", | ||
"Significance Level", | ||
step = 0.001, | ||
min = 0.001, | ||
max = 0.1, | ||
value = 0.05), | ||
br(), | ||
radioButtons("alternative2", | ||
NULL, | ||
c("Two Sided Test"= "two.sided", | ||
"One Sided Test"= "greater"), | ||
selected = "two.sided") | ||
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) | ||
) | ||
) | ||
) |