Upload 2 files

server.R

@@ -31,8 +31,8 @@ shinyServer(function(input, output) {
     
     #par(mfrow=c(2, 1))
     
-    hist(datos, probability = TRUE, col = "lightblue",
-         main = paste("Histogram and estimated density for", dist_sel),
+    hist(datos, probability = TRUE, col = "lightcyan",
+         main = paste("Histogram and estimated density assuming", dist_sel),
          xlab = "x")
     
     x_seq <- seq(min(datos), max(datos), length.out = 200)
@@ -99,7 +99,8 @@ shinyServer(function(input, output) {
       mu <- mean(datos)
       sigma <- sd(datos)
       data.frame(
-        Parameter = c("μ", "σ", "Mean", "Standard deviation"),
+        Parameter = c("μ", "σ", 
+                      "Sample mean", "Sample standard deviation"),
         Estimation = c(mu, sigma, mean(datos), sd(datos))
       )
       
@@ -113,7 +114,8 @@ shinyServer(function(input, output) {
         sigma <- exp(coef(fit, what="sigma"))
         nu    <- exp(coef(fit, what="nu"))
         data.frame(
-          Parameter = c("μ", "σ", "ν", "Mean", "Standard deviation"),
+          Parameter = c("μ", "σ", "ν", 
+                        "Sample mean", "Sample standard deviation"),
           Estimation = c(mu, sigma, nu, mean(datos), sd(datos))
         )
       } else {
@@ -132,7 +134,8 @@ shinyServer(function(input, output) {
         mu    <- exp(coef(fit, what="mu"))
         sigma <- exp(coef(fit, what="sigma"))
         data.frame(
-          Parameter = c("μ", "σ", "Mean", "Standard deviation"),
+          Parameter = c("μ", "σ", 
+                        "Sample mean", "Sample standard deviation"),
           Estimation = c(mu, sigma, mean(datos), sd(datos))
         )
       } else {
@@ -152,7 +155,8 @@ shinyServer(function(input, output) {
         sigma <- exp(coef(fit, what="sigma"))
         nu    <- exp(coef(fit, what="nu"))
         data.frame(
-          Parameter = c("μ", "σ", "ν", "Mean", "Standard deviation"),
+          Parameter = c("μ", "σ", "ν", 
+                        "Sample mean", "Sample standard deviation"),
           Estimation = c(mu, sigma, nu, mean(datos), sd(datos))
         )
       } else {

ui.R

@@ -7,12 +7,11 @@ shinyUI(fluidPage(
   sidebarLayout(
     sidebarPanel(
       p("With this shiny app you can input observed reaction times (RTs) 
-      from any experiment in the next box. Then you select the", 
+      from any experiment. Then you select the", 
       span("possible distribution", style = "color:red"), 
-      "for the RTs and finally you will obtain 
-      the results."),
+      "for the RTs and finally you will obtain the results."),
       p("The app allows that user selects some of the most commom 
-        distribution for reaction times."),
+        distribution to model reaction times."),
       textInput("datos", "Enter numbers separated by commas:", 
                 placeholder = "Example: 1.2, 3.4, 2.1, 5.6, 4.3"),
       
@@ -26,18 +25,20 @@ shinyUI(fluidPage(
         data below to test the app. Only copy and paste the numbers
         into the first box."),
       tags$hr(),
-      p("Example 1"),
-      p("The next random sample was obtained from a N(15, 3), 
-        copy and paste the next numbers into the first box:"),
+      h4("Example 1"),
+      p("The next random sample was obtained from a",
+        span("N(15, 3)", style = "color:#0DC9D2"),
+        "copy and paste the next numbers into the first box:"),
       p("16.5, 19.8, 11.8, 14.6, 14.2, 5.8, 12.8, 17.5, 22.9, 7.5, 9.4, 
          14.8, 15.3, 12.9, 12.6, 13.4, 20.2, 16.4, 18.4, 15, 15.1, 18.1, 
          15.9, 16.5, 15.1, 15, 17, 16.5, 19.9, 11.9, 14.1, 13.1, 12, 15.8, 
          16.3, 16.1, 13.3, 11.2, 17.8, 17.9, 11.4, 15.6, 10.7, 15.1, 13.3, 
          16.6, 15.5, 12.2, 14.6, 15.2"),
       br(),
-      p("Example 2"),
-      p("The next random sample was obtained from a ExWALD(2, 5, 1.2),
-        copy and paste the next numbers into the first box:"),
+      h4("Example 2"),
+      p("The next random sample was obtained from a",
+        span("ExWALD(2, 5, 1.2)", style = "color:#0DC9D2"),
+        "copy and paste the next numbers into the first box:"),
       p("2.3, 3.8, 3.1, 3.9, 3.2, 3.8, 2.8, 1.3, 4.2, 2.3, 2.9, 2.6, 
          3.8, 5, 4.6, 3.5, 9.6, 2.3, 3.9, 3.1, 8.6, 2.2, 5.6, 2.7, 2, 
          3.5, 5.4, 5.1, 3, 2, 5.1, 4.6, 3.7, 3.6, 2.3, 2.3, 3.6, 1.6,