R/app_ui.R
In tleers/tsim: Sample size planning application for time series research
Defines functions
app_ui
golem_add_external_resources
Documented in
app_ui
#' ui
#'
#' @param request needed for bookmarking
#'
#' @import shiny
#' @import shinydashboard
#' @import shinydashboardPlus
#' @import shinyWidgets
#' @import plotly
#' @import rhandsontable
#' @import DT
app_ui <- function(request) {
model_list <- dir('models')
model_list <- unlist(strsplit(model_list,'.R'))
#library(V8)
tagList(
#shinyjs::useShinyjs(),
golem_add_external_resources(),
dashboardPagePlus(
dashboardHeaderPlus(title = "TS",
fixed=FALSE,
enable_rightsidebar=TRUE,#General information button at top-right.
#currently only shows:
# a) "active" dataset
# b) "selected subject ID"
rightSidebarIcon = "ellipsis-h"
),
#------------------------------ Side Bar Function -------------------------------------
dashboardSidebar(
sidebarMenuOutput("menu")
),
uiOutput('tp_tab_script'),
rightsidebar=rightSidebar(
# box(width=2,
# actionButton("browser", "debug")
# ),
rightSidebarTabContent(
id=1,
title="",
icon='hourglass',
active=TRUE,
conditionalPanel(
condition="input.tabs == 'tpestimation'",
title = "Model parameter configuration",
width=3,
selectInput(inputId='tp_model1',
label='Choose comparison model 1',
choices=model_list,
selected='ar'
),
p(id='mod_anchor1',''),
selectInput(inputId='tp_model2',
label='Choose comparison model 2',
choices=model_list,
selected='var'
),
p(id='mod_anchor2',''),
conditionalPanel(
condition="input.tp_model1 == 'pcvar'"
#uiOutput('ncomp_pca')
)
)
),
rightSidebarTabContent(
id=2,
title="",
icon='cogs',
active=FALSE,
conditionalPanel(
condition="input.tabs == 'tpestimation'",
title = "Algorithm parameter configuration",
width=3,
selectInput(inputId='tp_error_metric',
label='Choose error metric',
choices=c('Mean Squared Error (MSE)'='mse',
'Root Mean Squared Error (RMSE)'='rmse',
'Mean Absolute Error (MAE)'='mae',
'Mean Absolute Percentage Error (MAPE)'='mape',
'Normalized Mean Squared Error (LMSE)'='nmse',
'Relative Standard Deviation (rSTD)'='rstd'),
selected='mse'),
numericInput(inputId='select_k_fold',label='Choose number of folds',min=2,max=20,value=5),
numericInput(inputId='select_max_iter',label="Choose maximum number of iterations",min=10,max=50000,value=2000),
uiOutput('select_stepsize_init_element'),
#numericInput(inputId='select_stepsize_scaler',label='Choose stepsize scaler',min=.0001,max=1,value=.8),
numericInput(inputId='threshold',label='Threshold',min=1,max=5000,value=50),
uiOutput('num_searchtp_sim')
)
),
conditionalPanel(
condition="input.tabs == 'tpestimation'",
actionButton("submitTPS", "Submit")
)
),
#------------------------------ Dashboard Body -------------------------------------
dashboardBody(
#------------------------------ Tags Style -------------------------------------
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
#------------------------------ Tabs Start -------------------------------------
tabItems(
#------------------------------ Tabs 1 Data Start-------------------------------------
tabItem(tabName = "data1",
#------------------------------ Tabs 1 Data - fluid page start -------------------------------------
fluidPage(
#------------------------------ Tabs 1 Data - fluid row 1 -------------------------------------
fluidRow(
infoBoxOutput("in_memory_df"),
infoBoxOutput("load_datasets")
),
#------------------------------ Tabs 1 Data - fluid row 2 -------------------------------------
fluidRow(
box(
width = 4,
height = 100,
selectInput('data_source', 'Select Data Source',
list(
"In-memory" = "data_frame",
"Import CSV file" = "import"
),
selected = "data_frame"
)
),
box(width = 4,
height = 100,
conditionalPanel(condition = "input.data_source.includes('data_frame')",
uiOutput("df_list")
),
conditionalPanel(condition = "input.data_source == 'import'",
dropdownButton(
fileInput('file1', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
awesomeCheckbox(inputId = "csv_header",
label = "Header",
value = TRUE),
radioButtons('sep', 'Separator',
c(Comma=',',
Semicolon=';',
Tab='\t'),
','),
radioButtons('quote', 'Quote',
c(None='',
'Double Quote'='"',
'Single Quote'="'"),
'"'),
circle = TRUE, status = "danger",
icon = icon("file-text", lib = "font-awesome"), width = "300px",
tooltip = tooltipOptions(title = "Click to set csv file parameters.")
)
)
),
box(width = 4, height = 100,
conditionalPanel(condition = "(output.load_flag == '2' &&
input.data_source == 'inst_pack') ||
(output.load_flag == '2' && input.data_source == 'import' ) ||
(output.load_flag == '1' && input.data_source == 'data_frame' ) ||
(output.load_flag == '1' && input.data_source == 'inst_pack') ||
(output.load_flag == '1' && input.data_source == 'time_series')",
actionButton("load", "Load")
),
conditionalPanel(condition = "output.loaded_table_flag == '1'",
actionButton("remove", "Remove")
)
)
),
fluidRow(
boxPlus(width = 7, title = "Preview Table",
collapsible=TRUE,
div(style = 'overflow-x: scroll',
DT::dataTableOutput('view_table'))
),
box(width = 5, title = "Loaded Datasets",
collapsible=TRUE,
div(style = 'overflow-x: scroll',
DT::dataTableOutput('list_loaded_df'))
)
)
)
#------------------------------ Tabs 1 Data - fluid page end -------------------------------------
),
#------------------------------ Tabs Data2 Start-------------------------------------
tabItem(tabName = "data2",
fluidPage(
fluidRow(
conditionalPanel(condition = "output.loaded_table_flag == '1'",
infoBoxOutput("data_name"),
infoBoxOutput("num_var"),
infoBoxOutput("num_obs")
)
),
fluidRow(
conditionalPanel(condition = "output.loaded_table_flag == '1'",
box(width = 2, title = "Edit dataset",
uiOutput("loaded_ds_list"),
conditionalPanel(condition = "output.loaded_table_flag == '1' &&
output.class_df_flag == false ",
selectInput('data_option', 'Select Option',
list(
"Variable Attributes" = "var_attr",
"Reshape Options" = "data_reshape"
),
selected = "data_reshape")
),
conditionalPanel(condition = "output.loaded_table_flag == '1' && output.class_df_flag == false && input.data_option == 'var_attr'",
radioButtons("class_selection", label = "Variables Modification",
choices = list(Numeric = "numeric", Factor = "factor",
Character = "character",
Date = "date"),
selected = "numeric"),
conditionalPanel(condition = "input.class_selection == 'date' && output.loaded_table_flag == '1' && output.class_df_flag == false && input.data_option == 'var_attr'",
selectInput('date_format', "Select the Date Format",
list(
YMD = "ymd",
YDM = "ydm",
MYD = "myd",
MDY = "mdy",
DMY = "dmy",
DYM = "dym"
)),
#titlePanel(h5("Date Preview")),
tags$h5("Date Preview"),
verbatimTextOutput("date_prev")
),
actionButton("var_modify", "Modify")
),
conditionalPanel(condition = "output.loaded_table_flag == '1' && output.class_df_flag == false && input.data_option == 'data_reshape'",
actionButton("remove_var", "Remove variable"))
)
),
conditionalPanel(condition = "output.loaded_table_flag == '1' && output.class_df_flag == false ",
box(width = 4, title = "List of Variables",
DT::dataTableOutput("data_tab2_var"),
conditionalPanel(condition = "output.loaded_table_flag == '1'"
#uiOutput('dataset_select_index_variable')
)
),
box(width = 4, title = "Variable Summary",
plotlyOutput("data_tab2_summary_plot",height = 200),
tableOutput("data_tab2_var_summary")
#tableOutput("data_tab2_var_summary_descr")
)
)
),
fluidRow(
conditionalPanel(condition = "output.loaded_table_flag == '1'",
radioButtons("data_tab2_na_omit", h6("Show data including missing values"),
choices = list("Yes", "No"), selected = "No",inline=TRUE),
div(style = 'overflow-x: scroll',
DT::dataTableOutput("data_tab2_table"))
)
)
)
),
#------------------------------ Tabs Data End-------------------------------------
#------------------------------ Tabs Visualization Start-------------------------------------
tabItem(tabName = "vis",
conditionalPanel(condition = "output.loaded_table_flag == '1'",
fluidPage(
box(title = "plot",
plotlyOutput("main_plot")
)
)
)
),
#------------------------------ Tabs Visualization End-------------------------------------
#------------------------------ Tabs Simulation -----
tabItem(tabName = "sim",
fluidPage(
boxPlus(status = "success",
title='Simulation parameter setup',
solidHeader = TRUE,
closable=FALSE,
collapsible=TRUE,
enable_dropdown=TRUE,
uiOutput('index_variable'),
selectInput(
"selection1",
"Choose your data-generating model.",
model_list
),
numericInput('lagNum','Choose the number of lags',min=1,max=1,value=1),
uiOutput('simulation_parameter_origin'),
# numericInput(
# "nError",
# "Measurement error:",
# 0,
# min = 0,
# max = 1,
# step = 0.01
# ),
uiOutput('num_var_sim'),
uiOutput('num_tp_sim'),
####Parameters from model
actionButton("submit1", "Submit")
),fluidRow(
p(id='sim_anchor','')
),
fluidRow(
boxPlus(
collapsible=TRUE,
title='Simulated data',
plotlyOutput('simulated_data_plot')
)
)
)
)
,
tabItem(tabName= "tpestimation",
fluidPage(
fluidRow(
uiOutput("tp")
# uiOutput("tp_last_1"),
# uiOutput("tp_last_2")
),
uiOutput('tp_plots')
)
),
tabItem(tabName = "modelcomparison",
uiOutput('mc_config_ui'),
uiOutput('mc_outcome_ui')
# fluidPage(
# box(
# width=2,
# title = "Best model",
# HTML(
# '<p> Compare models, based on APE and parameter accuracy. <p>'
# ),
# status = "success",
# actionButton("submitModelComparison", "Submit")
#
# ),
# uiOutput("best"),
# uiOutput("cvbest"),
# box(width = 12,
# title = "Plot of variables with x-axis timepoints and y-axis mse",
# plotlyOutput("mseplot")),
# box(
# title = "Applied model",
# status = "success",
# width = 2,
# selectInput(
# "selection2",
# "Choose a model to apply to data",
# model_list,
# selected = "ar"
# ),
# actionButton("submit2", "Submit")
# ),
# box(title = "Parameter accuracy",
# withMathJax(),
# uiOutput("accuracy")
# ),
# infoBoxOutput("mse"),
# infoBoxOutput("paramacc")
# )),
),
tabItem(tabName = "networkanalysis",
fluidPage(
boxPlus(
title='Parameters',
collapsible=TRUE,
uiOutput('select_network_vars_element'),
uiOutput('select_network_graph_type'),
uiOutput('select_network_treshold'),
uiOutput('select_network_tuning')
),
plotOutput("networkplot")
)
),
tabItem(tabName="faq",
fluidPage(
box(
HTML('placeholder')
)
)
)
)
)
)
)
}
#' @import shiny
golem_add_external_resources <- function() {
# library(shinydashboard)
# library(shinydashboardPlus)
addResourcePath('www', system.file('app/www', package = 'tsim'))
# Load packages --------------------------------------------------------------------
#set.seed('1')
#initiation of packages thanks to https://gist.github.com/benmarwick/5054846
# list.of.packages = c(
# "shinythemes",
# "qgraph",
# "shinydashboardPlus",
# "Matrix",
# "shinyWidgets",
# "plotly",
# #"caret",
# "dplyr",
# "data.table",
# "lubridate",
# "reshape2",
# "DT",
# "knitr",
# "kableExtra",
# "datasets",
# "ggplot2",
# "MASS",
# "shiny",
# "psych",
# "stats",
# "shinydashboard",
# "reshape2",
# "vars",
# "xtable",
# "Hmisc",
# "reshape",
# "rowr",
# "grid",
# "gridExtra",
# "rlist",
# "pracma",
# "latex2exp",
# "dplyr",
# "rhandsontable",
# "lubridate",
# #"RSQLite",
# "here",
# "devtools",
# #"sqldf",
# #"DBI",
# #"dbplyr",
# "pool",
# #"RMySQL",
# "tidyverse",
# "tibble",
# "tsibble",
# "rintrojs",
# "shiny"
# )
#
# new.packages <-
# list.of.packages[!(list.of.packages %in% installed.packages()[, "Package"])]
# if (length(new.packages) > 0) {
# install.packages(new.packages)
# }
# lapply(list.of.packages, library, character.only = T)
tags$head(golem::activate_js(),
golem::favicon(),
tags$title("tsim")
# Add here all the external resources
# If you have a custom.css in the inst/app/www
# Or for example, you can add shinyalert::useShinyalert() here
#tags$link(rel="stylesheet", type="text/css", href="www/custom.css"))
)
}
tleers/tsim documentation built on Jan. 11, 2020, 2:02 a.m.
R Package Documentation
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Defines functions app_ui golem_add_external_resources
Documented in app_ui
#' ui
#'
#' @param request needed for bookmarking
#'
#' @import shiny
#' @import shinydashboard
#' @import shinydashboardPlus
#' @import shinyWidgets
#' @import plotly
#' @import rhandsontable
#' @import DT
app_ui <- function(request) {
model_list <- dir('models')
model_list <- unlist(strsplit(model_list,'.R'))
#library(V8)
tagList(
#shinyjs::useShinyjs(),
golem_add_external_resources(),
dashboardPagePlus(
dashboardHeaderPlus(title = "TS",
fixed=FALSE,
enable_rightsidebar=TRUE,#General information button at top-right.
#currently only shows:
# a) "active" dataset
# b) "selected subject ID"
rightSidebarIcon = "ellipsis-h"
),
#------------------------------ Side Bar Function -------------------------------------
dashboardSidebar(
sidebarMenuOutput("menu")
),
uiOutput('tp_tab_script'),
rightsidebar=rightSidebar(
# box(width=2,
# actionButton("browser", "debug")
# ),
rightSidebarTabContent(
id=1,
title="",
icon='hourglass',
active=TRUE,
conditionalPanel(
condition="input.tabs == 'tpestimation'",
title = "Model parameter configuration",
width=3,
selectInput(inputId='tp_model1',
label='Choose comparison model 1',
choices=model_list,
selected='ar'
),
p(id='mod_anchor1',''),
selectInput(inputId='tp_model2',
label='Choose comparison model 2',
choices=model_list,
selected='var'
),
p(id='mod_anchor2',''),
conditionalPanel(
condition="input.tp_model1 == 'pcvar'"
#uiOutput('ncomp_pca')
)
)
),
rightSidebarTabContent(
id=2,
title="",
icon='cogs',
active=FALSE,
conditionalPanel(
condition="input.tabs == 'tpestimation'",
title = "Algorithm parameter configuration",
width=3,
selectInput(inputId='tp_error_metric',
label='Choose error metric',
choices=c('Mean Squared Error (MSE)'='mse',
'Root Mean Squared Error (RMSE)'='rmse',
'Mean Absolute Error (MAE)'='mae',
'Mean Absolute Percentage Error (MAPE)'='mape',
'Normalized Mean Squared Error (LMSE)'='nmse',
'Relative Standard Deviation (rSTD)'='rstd'),
selected='mse'),
numericInput(inputId='select_k_fold',label='Choose number of folds',min=2,max=20,value=5),
numericInput(inputId='select_max_iter',label="Choose maximum number of iterations",min=10,max=50000,value=2000),
uiOutput('select_stepsize_init_element'),
#numericInput(inputId='select_stepsize_scaler',label='Choose stepsize scaler',min=.0001,max=1,value=.8),
numericInput(inputId='threshold',label='Threshold',min=1,max=5000,value=50),
uiOutput('num_searchtp_sim')
)
),
conditionalPanel(
condition="input.tabs == 'tpestimation'",
actionButton("submitTPS", "Submit")
)
),
#------------------------------ Dashboard Body -------------------------------------
dashboardBody(
#------------------------------ Tags Style -------------------------------------
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
#------------------------------ Tabs Start -------------------------------------
tabItems(
#------------------------------ Tabs 1 Data Start-------------------------------------
tabItem(tabName = "data1",
#------------------------------ Tabs 1 Data - fluid page start -------------------------------------
fluidPage(
#------------------------------ Tabs 1 Data - fluid row 1 -------------------------------------
fluidRow(
infoBoxOutput("in_memory_df"),
infoBoxOutput("load_datasets")
),
#------------------------------ Tabs 1 Data - fluid row 2 -------------------------------------
fluidRow(
box(
width = 4,
height = 100,
selectInput('data_source', 'Select Data Source',
list(
"In-memory" = "data_frame",
"Import CSV file" = "import"
),
selected = "data_frame"
)
),
box(width = 4,
height = 100,
conditionalPanel(condition = "input.data_source.includes('data_frame')",
uiOutput("df_list")
),
conditionalPanel(condition = "input.data_source == 'import'",
dropdownButton(
fileInput('file1', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
awesomeCheckbox(inputId = "csv_header",
label = "Header",
value = TRUE),
radioButtons('sep', 'Separator',
c(Comma=',',
Semicolon=';',
Tab='\t'),
','),
radioButtons('quote', 'Quote',
c(None='',
'Double Quote'='"',
'Single Quote'="'"),
'"'),
circle = TRUE, status = "danger",
icon = icon("file-text", lib = "font-awesome"), width = "300px",
tooltip = tooltipOptions(title = "Click to set csv file parameters.")
)
)
),
box(width = 4, height = 100,
conditionalPanel(condition = "(output.load_flag == '2' &&
input.data_source == 'inst_pack') ||
(output.load_flag == '2' && input.data_source == 'import' ) ||
(output.load_flag == '1' && input.data_source == 'data_frame' ) ||
(output.load_flag == '1' && input.data_source == 'inst_pack') ||
(output.load_flag == '1' && input.data_source == 'time_series')",
actionButton("load", "Load")
),
conditionalPanel(condition = "output.loaded_table_flag == '1'",
actionButton("remove", "Remove")
)
)
),
fluidRow(
boxPlus(width = 7, title = "Preview Table",
collapsible=TRUE,
div(style = 'overflow-x: scroll',
DT::dataTableOutput('view_table'))
),
box(width = 5, title = "Loaded Datasets",
collapsible=TRUE,
div(style = 'overflow-x: scroll',
DT::dataTableOutput('list_loaded_df'))
)
)
)
#------------------------------ Tabs 1 Data - fluid page end -------------------------------------
),
#------------------------------ Tabs Data2 Start-------------------------------------
tabItem(tabName = "data2",
fluidPage(
fluidRow(
conditionalPanel(condition = "output.loaded_table_flag == '1'",
infoBoxOutput("data_name"),
infoBoxOutput("num_var"),
infoBoxOutput("num_obs")
)
),
fluidRow(
conditionalPanel(condition = "output.loaded_table_flag == '1'",
box(width = 2, title = "Edit dataset",
uiOutput("loaded_ds_list"),
conditionalPanel(condition = "output.loaded_table_flag == '1' &&
output.class_df_flag == false ",
selectInput('data_option', 'Select Option',
list(
"Variable Attributes" = "var_attr",
"Reshape Options" = "data_reshape"
),
selected = "data_reshape")
),
conditionalPanel(condition = "output.loaded_table_flag == '1' && output.class_df_flag == false && input.data_option == 'var_attr'",
radioButtons("class_selection", label = "Variables Modification",
choices = list(Numeric = "numeric", Factor = "factor",
Character = "character",
Date = "date"),
selected = "numeric"),
conditionalPanel(condition = "input.class_selection == 'date' && output.loaded_table_flag == '1' && output.class_df_flag == false && input.data_option == 'var_attr'",
selectInput('date_format', "Select the Date Format",
list(
YMD = "ymd",
YDM = "ydm",
MYD = "myd",
MDY = "mdy",
DMY = "dmy",
DYM = "dym"
)),
#titlePanel(h5("Date Preview")),
tags$h5("Date Preview"),
verbatimTextOutput("date_prev")
),
actionButton("var_modify", "Modify")
),
conditionalPanel(condition = "output.loaded_table_flag == '1' && output.class_df_flag == false && input.data_option == 'data_reshape'",
actionButton("remove_var", "Remove variable"))
)
),
conditionalPanel(condition = "output.loaded_table_flag == '1' && output.class_df_flag == false ",
box(width = 4, title = "List of Variables",
DT::dataTableOutput("data_tab2_var"),
conditionalPanel(condition = "output.loaded_table_flag == '1'"
#uiOutput('dataset_select_index_variable')
)
),
box(width = 4, title = "Variable Summary",
plotlyOutput("data_tab2_summary_plot",height = 200),
tableOutput("data_tab2_var_summary")
#tableOutput("data_tab2_var_summary_descr")
)
)
),
fluidRow(
conditionalPanel(condition = "output.loaded_table_flag == '1'",
radioButtons("data_tab2_na_omit", h6("Show data including missing values"),
choices = list("Yes", "No"), selected = "No",inline=TRUE),
div(style = 'overflow-x: scroll',
DT::dataTableOutput("data_tab2_table"))
)
)
)
),
#------------------------------ Tabs Data End-------------------------------------
#------------------------------ Tabs Visualization Start-------------------------------------
tabItem(tabName = "vis",
conditionalPanel(condition = "output.loaded_table_flag == '1'",
fluidPage(
box(title = "plot",
plotlyOutput("main_plot")
)
)
)
),
#------------------------------ Tabs Visualization End-------------------------------------
#------------------------------ Tabs Simulation -----
tabItem(tabName = "sim",
fluidPage(
boxPlus(status = "success",
title='Simulation parameter setup',
solidHeader = TRUE,
closable=FALSE,
collapsible=TRUE,
enable_dropdown=TRUE,
uiOutput('index_variable'),
selectInput(
"selection1",
"Choose your data-generating model.",
model_list
),
numericInput('lagNum','Choose the number of lags',min=1,max=1,value=1),
uiOutput('simulation_parameter_origin'),
# numericInput(
# "nError",
# "Measurement error:",
# 0,
# min = 0,
# max = 1,
# step = 0.01
# ),
uiOutput('num_var_sim'),
uiOutput('num_tp_sim'),
####Parameters from model
actionButton("submit1", "Submit")
),fluidRow(
p(id='sim_anchor','')
),
fluidRow(
boxPlus(
collapsible=TRUE,
title='Simulated data',
plotlyOutput('simulated_data_plot')
)
)
)
)
,
tabItem(tabName= "tpestimation",
fluidPage(
fluidRow(
uiOutput("tp")
# uiOutput("tp_last_1"),
# uiOutput("tp_last_2")
),
uiOutput('tp_plots')
)
),
tabItem(tabName = "modelcomparison",
uiOutput('mc_config_ui'),
uiOutput('mc_outcome_ui')
# fluidPage(
# box(
# width=2,
# title = "Best model",
# HTML(
# '<p> Compare models, based on APE and parameter accuracy. <p>'
# ),
# status = "success",
# actionButton("submitModelComparison", "Submit")
#
# ),
# uiOutput("best"),
# uiOutput("cvbest"),
# box(width = 12,
# title = "Plot of variables with x-axis timepoints and y-axis mse",
# plotlyOutput("mseplot")),
# box(
# title = "Applied model",
# status = "success",
# width = 2,
# selectInput(
# "selection2",
# "Choose a model to apply to data",
# model_list,
# selected = "ar"
# ),
# actionButton("submit2", "Submit")
# ),
# box(title = "Parameter accuracy",
# withMathJax(),
# uiOutput("accuracy")
# ),
# infoBoxOutput("mse"),
# infoBoxOutput("paramacc")
# )),
),
tabItem(tabName = "networkanalysis",
fluidPage(
boxPlus(
title='Parameters',
collapsible=TRUE,
uiOutput('select_network_vars_element'),
uiOutput('select_network_graph_type'),
uiOutput('select_network_treshold'),
uiOutput('select_network_tuning')
),
plotOutput("networkplot")
)
),
tabItem(tabName="faq",
fluidPage(
box(
HTML('placeholder')
)
)
)
)
)
)
)
}
#' @import shiny
golem_add_external_resources <- function() {
# library(shinydashboard)
# library(shinydashboardPlus)
addResourcePath('www', system.file('app/www', package = 'tsim'))
# Load packages --------------------------------------------------------------------
#set.seed('1')
#initiation of packages thanks to https://gist.github.com/benmarwick/5054846
# list.of.packages = c(
# "shinythemes",
# "qgraph",
# "shinydashboardPlus",
# "Matrix",
# "shinyWidgets",
# "plotly",
# #"caret",
# "dplyr",
# "data.table",
# "lubridate",
# "reshape2",
# "DT",
# "knitr",
# "kableExtra",
# "datasets",
# "ggplot2",
# "MASS",
# "shiny",
# "psych",
# "stats",
# "shinydashboard",
# "reshape2",
# "vars",
# "xtable",
# "Hmisc",
# "reshape",
# "rowr",
# "grid",
# "gridExtra",
# "rlist",
# "pracma",
# "latex2exp",
# "dplyr",
# "rhandsontable",
# "lubridate",
# #"RSQLite",
# "here",
# "devtools",
# #"sqldf",
# #"DBI",
# #"dbplyr",
# "pool",
# #"RMySQL",
# "tidyverse",
# "tibble",
# "tsibble",
# "rintrojs",
# "shiny"
# )
#
# new.packages <-
# list.of.packages[!(list.of.packages %in% installed.packages()[, "Package"])]
# if (length(new.packages) > 0) {
# install.packages(new.packages)
# }
# lapply(list.of.packages, library, character.only = T)
tags$head(golem::activate_js(),
golem::favicon(),
tags$title("tsim")
# Add here all the external resources
# If you have a custom.css in the inst/app/www
# Or for example, you can add shinyalert::useShinyalert() here
#tags$link(rel="stylesheet", type="text/css", href="www/custom.css"))
)
}
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