From 0344fb7002464d12a82d1e74c630353a04796da0 Mon Sep 17 00:00:00 2001
From: Mikyung Shin <shin.mikyung@gmail.com>
Date: Mon, 5 Feb 2024 19:41:11 -0600
Subject: [PATCH] fix errors

---
 inst/TextAnalysisR.app/markdown/about.md | 27 ++++++++++++++++++++++++
 inst/TextAnalysisR.app/server.R          | 12 +++++------
 inst/TextAnalysisR.app/ui.R              | 11 +++++-----
 3 files changed, 38 insertions(+), 12 deletions(-)
 create mode 100644 inst/TextAnalysisR.app/markdown/about.md

diff --git a/inst/TextAnalysisR.app/markdown/about.md b/inst/TextAnalysisR.app/markdown/about.md
new file mode 100644
index 0000000..5e6ff3c
--- /dev/null
+++ b/inst/TextAnalysisR.app/markdown/about.md
@@ -0,0 +1,27 @@
+<!-- README.md is generated from README.Rmd. Please edit that file -->
+<!-- badges: start -->
+
+[![R-CMD-check](https://github.com/mshin77/TextAnalysisR/workflows/R-CMD-check/badge.svg)](https://github.com/mshin77/TextAnalysisR/actions)
+
+`TextAnalysisR` provides a supporting workflow for text mining analysis.
+The web app incorporates
+[quanteda](https://github.com/quanteda/quanteda) (text preprocessing),
+[stm](https://github.com/bstewart/stm) (structural topic modeling), and
+[ggraph](https://github.com/thomasp85/ggraph) as well as
+[widyr](https://github.com/juliasilge/widyr) (network analysis).
+[tidytext](https://github.com/cran/tidytext) was implemented to tidy
+non-tidy format objects.
+
+## Installation
+
+The development version from [GitHub](https://github.com/) with:
+
+    install.packages("devtools")
+    devtools::install_github("mshin77/TextAnalysisR")
+
+## Example
+
+Launch and browser the TextAnalysisR app:
+
+    library(TextAnalysisR)
+    TextAnalysisR.app()
diff --git a/inst/TextAnalysisR.app/server.R b/inst/TextAnalysisR.app/server.R
index 7814793..4b7fc2e 100644
--- a/inst/TextAnalysisR.app/server.R
+++ b/inst/TextAnalysisR.app/server.R
@@ -15,7 +15,7 @@ suppressPackageStartupMessages({
 
 server <- shinyServer(function(input, output, session) {
     observe({
-        if (input$dataset_choice == "Upload an Example Dataset") {
+        if (input$dataset_choice == "SpecialEduTech") {
             shinyjs::disable("file")
         } else {
             shinyjs::enable("file")
@@ -23,7 +23,7 @@ server <- shinyServer(function(input, output, session) {
     })
 
     mydata <- reactive({
-        if (input$dataset_choice == "Upload an Example Dataset") {
+        if (input$dataset_choice == "SpecialEduTech") {
             data <- TextAnalysisR::SpecialEduTech
         } else {
             req(input$file)
@@ -170,10 +170,12 @@ server <- shinyServer(function(input, output, session) {
     })
 
     # Remove common words across documents
-    dfm_outcome <- eventReactive(input$remove, {
+    dfm_outcome <- reactive({
         dictionary_list_1 <- TextAnalysisR::dictionary_list_1
         dictionary_list_2 <- TextAnalysisR::dictionary_list_2
 
+        print(input$remove)
+
         rm <- isolate(input$remove.var)
 
         if (!is.null(rm)) {
@@ -331,7 +333,6 @@ server <- shinyServer(function(input, output, session) {
 
 
     # 2. Step 2: Run a model and display highest word probabilities for each labeled topic
-
     output$K_number_uiOutput <- renderUI({
         sliderInput(
             "K_number",
@@ -445,7 +446,6 @@ server <- shinyServer(function(input, output, session) {
     # Display highest word probabilities for each topic
 
     # Tidy the word-topic combinations
-
     beta_td <- reactive({
         tidytext::tidy(stm_K_number(), document_names = rownames(dfm_outcome()))
     })
@@ -486,9 +486,7 @@ server <- shinyServer(function(input, output, session) {
             topic_term_plot$topic =
                 factor(topic_term_plot$topic, levels = topic_term_plot$topic %>% unique())
         }
-
         topic_term_plot$tt = NULL
-
         topic_term_plot %>%
             ggplot(aes(term, beta, fill = topic)) +
             geom_col(show.legend = FALSE, alpha = 0.8) +
diff --git a/inst/TextAnalysisR.app/ui.R b/inst/TextAnalysisR.app/ui.R
index 70174ef..2d7f193 100644
--- a/inst/TextAnalysisR.app/ui.R
+++ b/inst/TextAnalysisR.app/ui.R
@@ -38,7 +38,7 @@ ui <- fluidPage(
         tabPanel("TextAnalysisR",
                  navlistPanel(
                    widths = c(3, 9),
-                   tabPanel("About", includeMarkdown("markdown/README.md"))
+                   tabPanel("About", includeMarkdown("markdown/about.md"))
                  )),
         tabPanel("Upload",
                  sidebarLayout(
@@ -48,7 +48,7 @@ ui <- fluidPage(
                              "dataset_choice",
                              "Upload a file or use the dataset",
                              selected = " ",
-                             choices = c(" ", "Upload an Example Dataset", "Upload Your File")
+                             choices = c(" ", "SpecialEduTech", "Upload Your File")
 
                          ),
                          fileInput(
@@ -110,7 +110,8 @@ ui <- fluidPage(
                                  "remove.var",
                                  "Remove common words.",
                                  choices = NULL,
-                                 options = list(maxItems = 20)),
+                                 options = list(maxItems = 20)
+                             ),
                              actionButton("remove", "Remove", icon = icon("minus-circle"))
                          )
                      ),
@@ -167,9 +168,9 @@ ui <- fluidPage(
                         sliderInput(
                             "K_range_1",
                             "Range of topic numbers",
-                            value = c(2, 10),
+                            value = c(5, 30),
                             min = 0,
-                            max = 50
+                            max = 100
                         ),
                         selectizeInput(
                             "categorical_var",