library(MetaboModelleR)
library(readxl)
library(dplyr)
library(tidyr)
library(ggplot2)
library(patchwork)
library(stringr)
library(DT)
library(shinycssloaders)
library(impute)
ui <- navbarPage(id = "tabs",
title = "MetaboModelleR",
tabPanel("About",
includeMarkdown("MetaboModelleR.md")),
tabPanel("Data",
tags$head(tags$link(rel = "stylesheet", type = "text/css", href = "style.css")),
tags$style(".shiny-notification {
position:fixed;
top: calc(10%);
left: calc(30%);
}
"),
fileInput("data", "Choose .xlsx file:",
multiple = FALSE,
accept = c(".xlsx")),
selectInput("sheet",
"Select sheet:",
choices = NULL,
selected = NULL),
selectInput(inputId = "imputation",
label = "Choose imputation method:",
choices = c("zeros",
"median",
"1/2 minimum",
"kNN"),
selected = "kNN"),
h3("Selected:"),
verbatimTextOutput("error_compound"),
tableOutput("data_selected")
),
###############################################################
tabPanel("Groups",
tags$style(HTML('table.dataTable tr.selected td, table.dataTable td.selected {background-color: #C1E1CE !important;}')),
column(4,
h3("You can change group name here:"),
br(),
h5("1. Select rows from the table."),
textInput("change_group_txt",
label = "2. Type the group name here"),
actionButton(inputId = "change_group_btn",
label = "3. Press the button to change the group name"),
br(),
br(),
h5("Check if groups are paired:"),
checkboxInput("paired", "Paired", FALSE),
br(),
h3("Set another parameters:"),
checkboxGroupInput("tests",
"Choose tests to perform",
choices = c("Shapiro–Wilk test",
"Student's t-test",
"Mann–Whitney U-test"),
selected = c("Shapiro–Wilk test",
"Student's t-test",
"Mann–Whitney U-test")),
),
column(4,
br(),
br(),
br(),
br(),
br(),
br(),
br(),
DT::dataTableOutput("group_dt")),
column(4)
),
###############################################################
tabPanel("Distribution",
h3("Here, you can apply some transformations to the data."),
column(4,
DT::dataTableOutput("transformation_df")),
column(8,
radioButtons(inputId = "transform",
label = "Choose transformation:",
choices = c("None",
"Logarithm",
"Square-Root",
"Reciprocal",
"Inverse hyperbolic sine")),
actionButton(inputId = "apply_transformation",
label = "Apply!"),
plotOutput("dist_plot")),
# column(12,
# h3("Normality"),
# "Shapiro-Wilk Normality Test:",
# tableOutput("shapiro")
# ),
# br(),
# downloadButton("download_png", "Download png"),
# br(),
# br(),
# plotOutput("plot_raw_data"),
),
###############################################################
tabPanel("Analysis",
tags$head(tags$link(rel = "stylesheet", type = "text/css", href = "progress.css")),
column(12, selectInput("compound",
"Select compound:",
choices = NULL)),
column(12,
h3("Data statistics"),
tableOutput("stat")
),
h3("Between groups comparison"),
tableOutput("tests"),
br(),
br(),
br(),
br(),
),
###############################################################
tabPanel("Summary",
selectInput("group_case",
"Select case group:",
choices = NULL,
selected = NULL),
numericInput("sig_level",
label = "Provide significance level from (0, 1) interval",
value = 0.05,
min = 1e-100,
max = 1,
step = 0.001),
checkboxInput("adjusted", "Use adjusted p-value", FALSE),
shinycssloaders::withSpinner(uiOutput("plot_test_t_ui"),
color = "#479F8D"),
downloadButton("download_png_t", "Download png"),
br(),
br(),
shinycssloaders::withSpinner(uiOutput("plot_test_u_ui"),
color = "#479F8D"),
downloadButton("download_png_u", "Download png"),
br(),
br()
),
###############################################################
tabPanel("Download report",
h3("You can download a PDF file with the analysis"),
h5("For one compound:"),
downloadButton("download_one_compound",
"Download analysis for selected compound"),
br(),
br(),
h5("For all compounds from the file (It can take even a few minutes):"),
downloadButton("download_all", "Download analysis for all compounds"),
br(),
br(),
h3("or you can download a table with the results for all compounds"),
h4("Normality"),
shinycssloaders::withSpinner(DT::dataTableOutput("shapiro_table"),
color = "#479F8D"),
br(),
br(),
h4("Between groups comparison"),
shinycssloaders::withSpinner(DT::dataTableOutput("tests_table"),
color = "#479F8D"),
h4("Imputed data"),
shinycssloaders::withSpinner(DT::dataTableOutput("data_imputed_table"),
color = "#479F8D")
)
)
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