Nothing
R/app_ui.R
In predictoR: Predictive Data Analysis System
Defines functions
golem_add_external_resources
app_ui
#' The application User-Interface
#'
#' @param request Internal parameter for `{shiny}`.
#' DO NOT REMOVE.
#' @import shiny
#' @import rlang
#' @import traineR
#' @import loadeR
#' @import shinyAce
#' @import echarts4r
#' @import htmltools
#' @import shinycustomloader
#' @import shinydashboardPlus
#' @importFrom xtable xtable
#' @importFrom rpart.plot prp
#' @importFrom DT tableHeader
#' @importFrom glmnet cv.glmnet
#' @importFrom utils read.table write.csv head
#' @importFrom grDevices adjustcolor hcl rainbow dev.cur
#' @importFrom xgboost xgb.importance xgb.plot.importance
#' @importFrom shinyjs useShinyjs show hide addClass removeClass runjs
#' @importFrom stats cor cutree hclust median na.omit as.formula loess model.frame
#' @importFrom stats pnorm qnorm sd lm qt symnum cov2cor pt model.matrix predict predict.lm density
#' @importFrom shinydashboard sidebarMenu menuItem menuSubItem dashboardBody tabItems tabItem tabBox
#' @importFrom graphics abline legend lines pairs par points polygon rect smoothScatter strwidth text hist identify
#' @keywords internal
#' @noRd
app_ui <- function(request) {
tagList(
# Leave this function for adding external resources
golem_add_external_resources(),
# List the first level UI elements here
shinydashboardPlus::dashboardPage(
title = "PROMiDAT",
shinydashboardPlus::dashboardHeader(
title = HTML(paste0(
'<span class = "logo-lg">
<a href = "https://promidat.com" target = "_blank">
<img src = "img/logo.png" width = "100%" style = "padding-top:2px; padding-bottom:6px;">
</a>
</span>',
'<img src= "img/logo_small.png" height = 50%, width = "120%">'
)), controlbarIcon = icon("gears")
),
dashboardSidebar(
sidebarMenu(
id = "principal",
tags$div(style = "padding-top:10px;"),
menuItem(labelInput("data"), icon = icon("database"),
tabName = "cargar"),
menuItem(labelInput("basico"), tabName = "parte1",
icon = icon("square-poll-vertical"),
menuSubItem(labelInput("resumen"), "resumen",
icon = icon("sort-numeric-down")),
menuSubItem(labelInput("normalidad"), "normalidad",
icon = icon("chart-bar")),
menuSubItem(labelInput("dispersion"), "dispersion",
icon = icon("chart-line")),
menuSubItem(labelInput("distribucion"), "distribucion",
icon = icon("chart-area")),
menuSubItem(labelInput("correlacion"), "correlacion",
icon = icon("table")),
menuSubItem(labelInput("poderpred"), "poderPred",
icon = icon("rocket"))
),
menuItem(labelInput("tt"), tabName = "parte2",
icon = icon("th-list"),
menuSubItem(labelInput("knnl"),tabName = "knn",
icon = icon("dot-circle")),
menuSubItem(labelInput("svml"),tabName = "svm",
icon = icon("vector-square")),
menuSubItem(labelInput("dtl"),tabName = "dt",
icon = icon("tree")),
menuSubItem(labelInput("rfl"),tabName = "rf",
icon = icon("sitemap")),
menuSubItem(labelInput("xgb"),tabName = "xgb",
icon = icon("project-diagram")),
menuSubItem(labelInput("bl"),tabName = "boosting",
icon = icon("rocket")),
menuSubItem("Bayes",tabName = "bayes",
icon = icon("dice")),
menuSubItem(labelInput("nn"),tabName = "nn",
icon = icon("brain")),
menuSubItem(labelInput("rl"),tabName = "rl",
icon = icon("chart-line")),
menuSubItem(labelInput("rlr"),tabName = "rlr",
icon = icon("wave-square")),
menuSubItem(labelInput("lda"),tabName = "lda",
icon = icon("chart-gantt")),
menuSubItem(labelInput("qda"),tabName = "qda",
icon = icon("superscript")),
menuSubItem(labelInput("comparacion"), tabName = "comparar",
icon = icon("balance-scale")),
menuSubItem(labelInput("varError"), tabName = "varerr",
icon = icon("triangle-exclamation"))),
menuItem(labelInput("calibracion"), tabName = "calibracion",#server, award battle-net brain bug buffer check-circle chart-line chart-bar
icon = icon("gears"),
menuSubItem(labelInput("knnl"),tabName = "cv_knn",
icon = icon("dot-circle")),
menuSubItem(labelInput("svml"),tabName = "cv_svm",
icon = icon("vector-square")),
menuSubItem(labelInput("dtl"),tabName = "cv_dt",
icon = icon("tree")),
menuSubItem(labelInput("rfl"),tabName = "cv_rf",
icon = icon("sitemap")),
menuSubItem(labelInput("xgb"),tabName = "cv_xgb",
icon = icon("project-diagram")),
menuSubItem("Bayes",tabName = "cv_bayes",
icon = icon("dice")),
menuSubItem(labelInput("bl"),tabName = "cv_boosting",
icon = icon("rocket")),
menuSubItem(labelInput("rl"),tabName = "cv_rl",
icon = icon("chart-line")),
menuSubItem(labelInput("rlr"),tabName = "cv_rlr",
icon = icon("wave-square")),
menuSubItem(labelInput("lda"),tabName = "cv_lda",
icon = icon("chart-gantt")),
menuSubItem(labelInput("qda"),tabName = "cv_qda",
icon = icon("superscript"))
),
menuItem(labelInput("seleModel"), tabName = "cv_cv",
icon = icon("laptop-code")),
menuItem(labelInput("predicnuevos"), tabName = "predNuevos",
icon = icon("table")),
menuItem(labelInput("acercade"), tabName = "acercaDe",
icon = icon("circle-info")),
hr(),
menu.idioma(),
hr(),
img(src = "img/predictoR.png", style = "margin-left: auto;margin-right: auto;display: block;width: 80%;"),
tags$div(style = "display:none;",
sliderInput(inputId = "aux", min = 2, value = 2,
label = "Cantidad de Clusters", max = 10),
radioSwitch("deleteNAaux", "eliminanaaux", c("eliminarai", "impsutar")),
colourpicker::colourInput(
"auxColor", NULL, value = "red", allowTransparent = T)
)
)
),
dashboardBody(
tabItems(
# Carga de Datos
tabItem(tabName = "cargar",
loadeR::mod_carga_datos_ui("carga_datos_ui_1", labelInput("data"))),
# Resumen Numérico
tabItem(tabName = "resumen",
loadeR::mod_r_numerico_ui("r_numerico_ui_1")),
# Test de Normalidad
tabItem(tabName = "normalidad",
loadeR::mod_normal_ui("normal_ui_1")),
# Dispersión
tabItem(tabName = "dispersion",
loadeR::mod_dispersion_ui("dispersion_ui_1")),
# Distribuciones
tabItem(tabName = "distribucion",
loadeR::mod_distribuciones_ui("distribuciones_ui_1")),
# Correlaciones
tabItem(tabName = "correlacion",
loadeR::mod_correlacion_ui("correlacion_ui_1")),
# Poder Predictivo
tabItem(tabName = "poderPred",
mod_poder_pred_ui("poder_pred_ui_1")),
# K Vecinos
tabItem(tabName = "knn",
mod_knn_ui("knn_ui_1")),
# Support Vector Machines
tabItem(tabName = "svm",
mod_svm_ui("svm_ui_1")),
# Decision Trees
tabItem(tabName = "dt",
mod_d_tree_ui("d_tree_ui_1")),
# Random Forest
tabItem(tabName = "rf",
mod_r_forest_ui("r_forest_ui_1")),
# XGBoosting
tabItem(tabName = "xgb",
mod_xgboosting_ui("xgboosting_ui_1")),
# Potenciacion
tabItem(tabName = "boosting",
mod_boosting_ui("boosting_ui_1")),
# Bayes
tabItem(tabName = "bayes",
mod_bayes_ui("bayes_ui_1")),
# Neural Net
tabItem(tabName = "nn",
mod_neural_net_ui("neural_net_ui_1")),
# Logistic Regression
tabItem(tabName = "rl",
mod_l_regression_ui("l_regression_ui_1")),
# Penalized Logistic Regression
tabItem(tabName = "rlr",
mod_penalized_l_r_ui("penalized_l_r_ui_1")),
# Linear Discriminant Analysis
tabItem(tabName = "lda",
mod_lda_ui("lda_ui_1")),
# Quadratic Discriminant Analysis
tabItem(tabName = "qda",
mod_qda_ui("qda_ui_1")),
# Comparación de Modelos
tabItem(tabName = "comparar",
mod_comparacion_ui("comparacion_ui_1")),
# Variación del Error
tabItem(tabName = "varerr",
mod_varerr_ui("varerr_ui_1")),
############### Validación Cruzada ###############
tabItem(tabName = "cv_knn",
mod_cv_knn_ui("cv_knn_ui_1")),
tabItem(tabName = "cv_svm",
mod_cv_svm_ui("cv_svm_ui_1")),
tabItem(tabName = "cv_dt",
mod_cv_dt_ui("cv_dt_ui_1")),
tabItem(tabName = "cv_rf",
mod_cv_rf_ui("cv_rf_ui_1")),
tabItem(tabName = "cv_xgb",
mod_cv_xgb_ui("cv_xgb_ui_1")),
tabItem(tabName = "cv_boosting",
mod_cv_boost_ui("cv_boost_ui_1")),
tabItem(tabName = "cv_rlr",
mod_cv_rlr_ui("cv_rlr_ui_1")),
tabItem(tabName = "cv_bayes",
mod_cv_bayes_ui("cv_bayes_ui_1")),
tabItem(tabName = "cv_rl",
mod_cv_rl_ui("cv_rl_ui_1")),
tabItem(tabName = "cv_lda",
mod_cv_lda_ui("cv_lda_ui_1")),
tabItem(tabName = "cv_qda",
mod_cv_qda_ui("cv_qda_ui_1")),
tabItem(tabName = "cv_cv",
mod_cross_validation_ui("cross_validation_ui_1")),
# Predicción Individuos Nuevos
tabItem(tabName = "predNuevos",
mod_ind_nuevos_ui("ind_nuevos_ui_1")),
# Acerca De
tabItem(tabName = "acercaDe",
mod_acercade_ui("acercade_ui_1"))
)
),
dashboardControlbar(
width = 500,
div(
style = "margin-right: 15px; margin-left: 15px;",
h3(labelInput('code')), hr(),
codigo.monokai("fieldCode", height = "70vh"),
downloadButton("btn_code", NULL, style = "width: 100%;")
)
)
)
)
}
#' Add external Resources to the Application
#'
#' This function is internally used to add external
#' resources inside the Shiny application.
#'
#' @import shiny
#' @importFrom golem add_resource_path activate_js favicon bundle_resources
#' @noRd
golem_add_external_resources <- function(){
jsCode <- '
get_inputs = function() {
var rowname = $("#carga_datos_ui_2-rowname")[0].checked;
var header = $("#carga_datos_ui_2-header")[0].checked;
var sep = $("input[name=\'carga_datos_ui_2-sep\']:checked").val();
var dec = $("input[name=\'carga_datos_ui_2-dec\']:checked").val();
var nas = $("input[name=\'carga_datos_ui_2-deleteNA\']:checked").val();
Shiny.setInputValue("ind_nuevos_ui_1-jsrowname", rowname);
Shiny.setInputValue("ind_nuevos_ui_1-jsheader", header);
Shiny.setInputValue("ind_nuevos_ui_1-jssep", sep);
Shiny.setInputValue("ind_nuevos_ui_1-jsdec", dec);
Shiny.setInputValue("ind_nuevos_ui_1-jsnas", nas);
}
get_inputs_xlsx = function() {
var rowname = $("#carga_datos_ui_2-rowname_xlsx")[0].checked;
var header = $("#carga_datos_ui_2-header_xlsx")[0].checked;
var num_hoja = $("#carga_datos_ui_2-num_hoja").val();
var fila_inicio = $("#carga_datos_ui_2-fila_inicio").val();
var col_inicio = $("#carga_datos_ui_2-col_inicio").val();
var fila_final = $("#carga_datos_ui_2-fila_final").val();
var col_final = $("#carga_datos_ui_2-col_final").val();
var deleteNA_xlsx = $("input[name=\'carga_datos_ui_2-deleteNA_xlsx\']:checked").val();
Shiny.setInputValue("ind_nuevos_ui_1-jsrowname_xlsx", rowname);
Shiny.setInputValue("ind_nuevos_ui_1-jsheader_xlsx", header);
Shiny.setInputValue("ind_nuevos_ui_1-jsnum_hoja", num_hoja);
Shiny.setInputValue("ind_nuevos_ui_1-jsfila_inicio", fila_inicio);
Shiny.setInputValue("ind_nuevos_ui_1-jscol_inicio", col_inicio);
Shiny.setInputValue("ind_nuevos_ui_1-jsfila_final", fila_final);
Shiny.setInputValue("ind_nuevos_ui_1-jscol_final", col_final);
Shiny.setInputValue("ind_nuevos_ui_1-jsdeleteNA_xlsx", deleteNA_xlsx);
}
get_file = function() {
$("#carga_datos_ui_2-run_data").on("click", function(){
var file_type = $("#carga_datos_ui_2-file_type").find(".active")[0].firstElementChild.getAttribute("data-value")
Shiny.setInputValue("ind_nuevos_ui_1-jsfile_type", file_type);
});
}
'
add_resource_path('www', app_sys('app/www'))
add_resource_path('img', app_sys('app/img'))
add_resource_path('lang', app_sys('app/lang'))
tags$head(
favicon(),
bundle_resources(
path = app_sys('app/www'),
app_title = 'predictoR'
),
shinyjs::useShinyjs(),
tags$script(HTML(jsCode))
# Add here other external resources
# for example, you can add shinyalert::useShinyalert()
)
}
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Defines functions golem_add_external_resources app_ui
#' The application User-Interface
#'
#' @param request Internal parameter for `{shiny}`.
#' DO NOT REMOVE.
#' @import shiny
#' @import rlang
#' @import traineR
#' @import loadeR
#' @import shinyAce
#' @import echarts4r
#' @import htmltools
#' @import shinycustomloader
#' @import shinydashboardPlus
#' @importFrom xtable xtable
#' @importFrom rpart.plot prp
#' @importFrom DT tableHeader
#' @importFrom glmnet cv.glmnet
#' @importFrom utils read.table write.csv head
#' @importFrom grDevices adjustcolor hcl rainbow dev.cur
#' @importFrom xgboost xgb.importance xgb.plot.importance
#' @importFrom shinyjs useShinyjs show hide addClass removeClass runjs
#' @importFrom stats cor cutree hclust median na.omit as.formula loess model.frame
#' @importFrom stats pnorm qnorm sd lm qt symnum cov2cor pt model.matrix predict predict.lm density
#' @importFrom shinydashboard sidebarMenu menuItem menuSubItem dashboardBody tabItems tabItem tabBox
#' @importFrom graphics abline legend lines pairs par points polygon rect smoothScatter strwidth text hist identify
#' @keywords internal
#' @noRd
app_ui <- function(request) {
tagList(
# Leave this function for adding external resources
golem_add_external_resources(),
# List the first level UI elements here
shinydashboardPlus::dashboardPage(
title = "PROMiDAT",
shinydashboardPlus::dashboardHeader(
title = HTML(paste0(
'<span class = "logo-lg">
<a href = "https://promidat.com" target = "_blank">
<img src = "img/logo.png" width = "100%" style = "padding-top:2px; padding-bottom:6px;">
</a>
</span>',
'<img src= "img/logo_small.png" height = 50%, width = "120%">'
)), controlbarIcon = icon("gears")
),
dashboardSidebar(
sidebarMenu(
id = "principal",
tags$div(style = "padding-top:10px;"),
menuItem(labelInput("data"), icon = icon("database"),
tabName = "cargar"),
menuItem(labelInput("basico"), tabName = "parte1",
icon = icon("square-poll-vertical"),
menuSubItem(labelInput("resumen"), "resumen",
icon = icon("sort-numeric-down")),
menuSubItem(labelInput("normalidad"), "normalidad",
icon = icon("chart-bar")),
menuSubItem(labelInput("dispersion"), "dispersion",
icon = icon("chart-line")),
menuSubItem(labelInput("distribucion"), "distribucion",
icon = icon("chart-area")),
menuSubItem(labelInput("correlacion"), "correlacion",
icon = icon("table")),
menuSubItem(labelInput("poderpred"), "poderPred",
icon = icon("rocket"))
),
menuItem(labelInput("tt"), tabName = "parte2",
icon = icon("th-list"),
menuSubItem(labelInput("knnl"),tabName = "knn",
icon = icon("dot-circle")),
menuSubItem(labelInput("svml"),tabName = "svm",
icon = icon("vector-square")),
menuSubItem(labelInput("dtl"),tabName = "dt",
icon = icon("tree")),
menuSubItem(labelInput("rfl"),tabName = "rf",
icon = icon("sitemap")),
menuSubItem(labelInput("xgb"),tabName = "xgb",
icon = icon("project-diagram")),
menuSubItem(labelInput("bl"),tabName = "boosting",
icon = icon("rocket")),
menuSubItem("Bayes",tabName = "bayes",
icon = icon("dice")),
menuSubItem(labelInput("nn"),tabName = "nn",
icon = icon("brain")),
menuSubItem(labelInput("rl"),tabName = "rl",
icon = icon("chart-line")),
menuSubItem(labelInput("rlr"),tabName = "rlr",
icon = icon("wave-square")),
menuSubItem(labelInput("lda"),tabName = "lda",
icon = icon("chart-gantt")),
menuSubItem(labelInput("qda"),tabName = "qda",
icon = icon("superscript")),
menuSubItem(labelInput("comparacion"), tabName = "comparar",
icon = icon("balance-scale")),
menuSubItem(labelInput("varError"), tabName = "varerr",
icon = icon("triangle-exclamation"))),
menuItem(labelInput("calibracion"), tabName = "calibracion",#server, award battle-net brain bug buffer check-circle chart-line chart-bar
icon = icon("gears"),
menuSubItem(labelInput("knnl"),tabName = "cv_knn",
icon = icon("dot-circle")),
menuSubItem(labelInput("svml"),tabName = "cv_svm",
icon = icon("vector-square")),
menuSubItem(labelInput("dtl"),tabName = "cv_dt",
icon = icon("tree")),
menuSubItem(labelInput("rfl"),tabName = "cv_rf",
icon = icon("sitemap")),
menuSubItem(labelInput("xgb"),tabName = "cv_xgb",
icon = icon("project-diagram")),
menuSubItem("Bayes",tabName = "cv_bayes",
icon = icon("dice")),
menuSubItem(labelInput("bl"),tabName = "cv_boosting",
icon = icon("rocket")),
menuSubItem(labelInput("rl"),tabName = "cv_rl",
icon = icon("chart-line")),
menuSubItem(labelInput("rlr"),tabName = "cv_rlr",
icon = icon("wave-square")),
menuSubItem(labelInput("lda"),tabName = "cv_lda",
icon = icon("chart-gantt")),
menuSubItem(labelInput("qda"),tabName = "cv_qda",
icon = icon("superscript"))
),
menuItem(labelInput("seleModel"), tabName = "cv_cv",
icon = icon("laptop-code")),
menuItem(labelInput("predicnuevos"), tabName = "predNuevos",
icon = icon("table")),
menuItem(labelInput("acercade"), tabName = "acercaDe",
icon = icon("circle-info")),
hr(),
menu.idioma(),
hr(),
img(src = "img/predictoR.png", style = "margin-left: auto;margin-right: auto;display: block;width: 80%;"),
tags$div(style = "display:none;",
sliderInput(inputId = "aux", min = 2, value = 2,
label = "Cantidad de Clusters", max = 10),
radioSwitch("deleteNAaux", "eliminanaaux", c("eliminarai", "impsutar")),
colourpicker::colourInput(
"auxColor", NULL, value = "red", allowTransparent = T)
)
)
),
dashboardBody(
tabItems(
# Carga de Datos
tabItem(tabName = "cargar",
loadeR::mod_carga_datos_ui("carga_datos_ui_1", labelInput("data"))),
# Resumen Numérico
tabItem(tabName = "resumen",
loadeR::mod_r_numerico_ui("r_numerico_ui_1")),
# Test de Normalidad
tabItem(tabName = "normalidad",
loadeR::mod_normal_ui("normal_ui_1")),
# Dispersión
tabItem(tabName = "dispersion",
loadeR::mod_dispersion_ui("dispersion_ui_1")),
# Distribuciones
tabItem(tabName = "distribucion",
loadeR::mod_distribuciones_ui("distribuciones_ui_1")),
# Correlaciones
tabItem(tabName = "correlacion",
loadeR::mod_correlacion_ui("correlacion_ui_1")),
# Poder Predictivo
tabItem(tabName = "poderPred",
mod_poder_pred_ui("poder_pred_ui_1")),
# K Vecinos
tabItem(tabName = "knn",
mod_knn_ui("knn_ui_1")),
# Support Vector Machines
tabItem(tabName = "svm",
mod_svm_ui("svm_ui_1")),
# Decision Trees
tabItem(tabName = "dt",
mod_d_tree_ui("d_tree_ui_1")),
# Random Forest
tabItem(tabName = "rf",
mod_r_forest_ui("r_forest_ui_1")),
# XGBoosting
tabItem(tabName = "xgb",
mod_xgboosting_ui("xgboosting_ui_1")),
# Potenciacion
tabItem(tabName = "boosting",
mod_boosting_ui("boosting_ui_1")),
# Bayes
tabItem(tabName = "bayes",
mod_bayes_ui("bayes_ui_1")),
# Neural Net
tabItem(tabName = "nn",
mod_neural_net_ui("neural_net_ui_1")),
# Logistic Regression
tabItem(tabName = "rl",
mod_l_regression_ui("l_regression_ui_1")),
# Penalized Logistic Regression
tabItem(tabName = "rlr",
mod_penalized_l_r_ui("penalized_l_r_ui_1")),
# Linear Discriminant Analysis
tabItem(tabName = "lda",
mod_lda_ui("lda_ui_1")),
# Quadratic Discriminant Analysis
tabItem(tabName = "qda",
mod_qda_ui("qda_ui_1")),
# Comparación de Modelos
tabItem(tabName = "comparar",
mod_comparacion_ui("comparacion_ui_1")),
# Variación del Error
tabItem(tabName = "varerr",
mod_varerr_ui("varerr_ui_1")),
############### Validación Cruzada ###############
tabItem(tabName = "cv_knn",
mod_cv_knn_ui("cv_knn_ui_1")),
tabItem(tabName = "cv_svm",
mod_cv_svm_ui("cv_svm_ui_1")),
tabItem(tabName = "cv_dt",
mod_cv_dt_ui("cv_dt_ui_1")),
tabItem(tabName = "cv_rf",
mod_cv_rf_ui("cv_rf_ui_1")),
tabItem(tabName = "cv_xgb",
mod_cv_xgb_ui("cv_xgb_ui_1")),
tabItem(tabName = "cv_boosting",
mod_cv_boost_ui("cv_boost_ui_1")),
tabItem(tabName = "cv_rlr",
mod_cv_rlr_ui("cv_rlr_ui_1")),
tabItem(tabName = "cv_bayes",
mod_cv_bayes_ui("cv_bayes_ui_1")),
tabItem(tabName = "cv_rl",
mod_cv_rl_ui("cv_rl_ui_1")),
tabItem(tabName = "cv_lda",
mod_cv_lda_ui("cv_lda_ui_1")),
tabItem(tabName = "cv_qda",
mod_cv_qda_ui("cv_qda_ui_1")),
tabItem(tabName = "cv_cv",
mod_cross_validation_ui("cross_validation_ui_1")),
# Predicción Individuos Nuevos
tabItem(tabName = "predNuevos",
mod_ind_nuevos_ui("ind_nuevos_ui_1")),
# Acerca De
tabItem(tabName = "acercaDe",
mod_acercade_ui("acercade_ui_1"))
)
),
dashboardControlbar(
width = 500,
div(
style = "margin-right: 15px; margin-left: 15px;",
h3(labelInput('code')), hr(),
codigo.monokai("fieldCode", height = "70vh"),
downloadButton("btn_code", NULL, style = "width: 100%;")
)
)
)
)
}
#' Add external Resources to the Application
#'
#' This function is internally used to add external
#' resources inside the Shiny application.
#'
#' @import shiny
#' @importFrom golem add_resource_path activate_js favicon bundle_resources
#' @noRd
golem_add_external_resources <- function(){
jsCode <- '
get_inputs = function() {
var rowname = $("#carga_datos_ui_2-rowname")[0].checked;
var header = $("#carga_datos_ui_2-header")[0].checked;
var sep = $("input[name=\'carga_datos_ui_2-sep\']:checked").val();
var dec = $("input[name=\'carga_datos_ui_2-dec\']:checked").val();
var nas = $("input[name=\'carga_datos_ui_2-deleteNA\']:checked").val();
Shiny.setInputValue("ind_nuevos_ui_1-jsrowname", rowname);
Shiny.setInputValue("ind_nuevos_ui_1-jsheader", header);
Shiny.setInputValue("ind_nuevos_ui_1-jssep", sep);
Shiny.setInputValue("ind_nuevos_ui_1-jsdec", dec);
Shiny.setInputValue("ind_nuevos_ui_1-jsnas", nas);
}
get_inputs_xlsx = function() {
var rowname = $("#carga_datos_ui_2-rowname_xlsx")[0].checked;
var header = $("#carga_datos_ui_2-header_xlsx")[0].checked;
var num_hoja = $("#carga_datos_ui_2-num_hoja").val();
var fila_inicio = $("#carga_datos_ui_2-fila_inicio").val();
var col_inicio = $("#carga_datos_ui_2-col_inicio").val();
var fila_final = $("#carga_datos_ui_2-fila_final").val();
var col_final = $("#carga_datos_ui_2-col_final").val();
var deleteNA_xlsx = $("input[name=\'carga_datos_ui_2-deleteNA_xlsx\']:checked").val();
Shiny.setInputValue("ind_nuevos_ui_1-jsrowname_xlsx", rowname);
Shiny.setInputValue("ind_nuevos_ui_1-jsheader_xlsx", header);
Shiny.setInputValue("ind_nuevos_ui_1-jsnum_hoja", num_hoja);
Shiny.setInputValue("ind_nuevos_ui_1-jsfila_inicio", fila_inicio);
Shiny.setInputValue("ind_nuevos_ui_1-jscol_inicio", col_inicio);
Shiny.setInputValue("ind_nuevos_ui_1-jsfila_final", fila_final);
Shiny.setInputValue("ind_nuevos_ui_1-jscol_final", col_final);
Shiny.setInputValue("ind_nuevos_ui_1-jsdeleteNA_xlsx", deleteNA_xlsx);
}
get_file = function() {
$("#carga_datos_ui_2-run_data").on("click", function(){
var file_type = $("#carga_datos_ui_2-file_type").find(".active")[0].firstElementChild.getAttribute("data-value")
Shiny.setInputValue("ind_nuevos_ui_1-jsfile_type", file_type);
});
}
'
add_resource_path('www', app_sys('app/www'))
add_resource_path('img', app_sys('app/img'))
add_resource_path('lang', app_sys('app/lang'))
tags$head(
favicon(),
bundle_resources(
path = app_sys('app/www'),
app_title = 'predictoR'
),
shinyjs::useShinyjs(),
tags$script(HTML(jsCode))
# Add here other external resources
# for example, you can add shinyalert::useShinyalert()
)
}
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