diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..5b6a065
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,4 @@
+.Rproj.user
+.Rhistory
+.RData
+.Ruserdata
diff --git a/npRCT.Rproj b/npRCT.Rproj
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--- /dev/null
+++ b/npRCT.Rproj
@@ -0,0 +1,13 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 6
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX
diff --git a/server.R b/server.R
new file mode 100644
index 0000000..9ba732f
--- /dev/null
+++ b/server.R
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+# --------------------------------------------------------
+# -----------------Server---------------------------------
+# --------------------------------------------------------
+
+
+## Load Packages
+library("shiny")
+library("semantic.dashboard")
+library("pwr")
+
+
+server <- function(input, output) {
+      
+      
+      # ---------------General npRCT function-------------
+      
+      npRCT <- reactive({
+            
+            # 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")
+            
+            # 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)
+            
+            # Compute sample sizes (per group)
+            n1 = ceiling(t1$n)
+            n2 = t2$n
+            n2_rct = ceiling(n2 / 2) # n still traditionally randomised in stratified part
+            
+            # Compute output
+            n_strat = n1 - n2_rct
+            n_total = n_strat + n2
+            n_saved = (n1 + n2) - n_total
+            n_ind = n1 + n2
+            
+            # Save output
+            npRCT <- data.frame(n_total = round(n_total),
+                                n_strat = n_strat,
+                                n_saved = n_saved,
+                                n_ind = n_ind)
+            
+            # Return output
+            npRCT
+            
+      })
+      
+      
+      # ---------------Define output as text--------------
+      
+      output$n_total <- renderText({ 
+            
+            temp <- npRCT()
+            as.character(temp$n_total)
+            
+      })
+      
+      output$n_strat <- renderText({ 
+            
+            temp <- npRCT()
+            as.character(temp$n_strat)
+            
+      })
+      
+      output$n_saved <- renderText({ 
+            
+            temp <- npRCT()
+            as.character(temp$n_saved)
+            
+      })
+      
+}
\ No newline at end of file
diff --git a/ui.R b/ui.R
new file mode 100644
index 0000000..bb8aa26
--- /dev/null
+++ b/ui.R
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+# --------------------------------------------------------
+# -----------------User Interface-------------------------
+# --------------------------------------------------------
+
+## Load Packages
+library("shiny")
+library("semantic.dashboard")
+
+
+ui <- dashboardPage(
+      dashboardHeader(title = "nested-precision Randomised Controlled Trial (npRCT)
+                      Power Calculation"),
+      
+      dashboardSidebar(
+            side = "left",
+            color = "blue",
+            size = "thin",
+            helpText("This is a help text."),
+            
+            
+      ),
+      
+      
+      # ----------------dashboardBody---------------------
+      dashboardBody(
+            fluidRow(
+                  
+                  
+                  
+                  # ----------Power Analysis Output---------
+                  box(
+                        title = "Power Analysis",
+                        color = "blue",
+                        
+                        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"),
+                        
+                        h3("Point of Stratification"),
+                        textOutput("n_strat"),
+                        
+                        h3("Saved Sample Size"),
+                        textOutput("n_saved")
+                        )
+                      ),
+                  
+                  
+                  # ----------Set RCT Parameters------------
+                  box(
+                        title = "Set Parameters",
+                        color = "blue",
+                        
+                        
+                        # ----------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"),
+                        
+                        
+                        # ----------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")
+                        
+                  )
+            )
+      )
+)