mirror of
https://github.com/agdamsbo/FreesearchR.git
synced 2025-09-12 18:09:39 +02:00
124 lines
3.3 KiB
R
124 lines
3.3 KiB
R
require(shiny)
|
|
require(bslib)
|
|
# require(ggplot2)
|
|
# source("https://raw.githubusercontent.com/agdamsbo/cognitive.index.lookup/main/R/index_from_raw.R")
|
|
# source("https://raw.githubusercontent.com/agdamsbo/cognitive.index.lookup/main/R/plot_index.R")
|
|
# source(here::here("R/index_from_raw.R"))
|
|
# source(here::here("R/plot_index.R"))
|
|
|
|
# ui <- fluidPage(
|
|
|
|
cards <- list(
|
|
bslib::card(
|
|
max_height = "200px",
|
|
full_screen = TRUE,
|
|
bslib::card_header("Data overview"),
|
|
shiny::uiOutput("data.input")
|
|
),
|
|
bslib::card(
|
|
# max_height = "200px",
|
|
full_screen = TRUE,
|
|
bslib::card_header("Baseline characteristics"),
|
|
gt::gt_output(outputId = "table1")
|
|
),
|
|
bslib::card(
|
|
full_screen = TRUE,
|
|
bslib::card_header("Multivariable regression table"),
|
|
gt::gt_output(outputId = "table2")
|
|
)
|
|
)
|
|
|
|
|
|
ui <- bslib::page_sidebar(
|
|
theme = bslib::bs_theme(bootswatch = "minty"),
|
|
title = "webResearcher for easy data analysis",
|
|
window_title = "webResearcher",
|
|
header = h6("Welcome to the webResearcher tool. This is an early alpha version to act as a proof-of-concept and in no way intended for wider public use."),
|
|
|
|
# sidebarPanel(
|
|
sidebar = bslib::sidebar(
|
|
open = "open",
|
|
h4("Upload your dataset"),
|
|
|
|
# Input: Select a file ----
|
|
fileInput(
|
|
inputId = "file",
|
|
label = "Choose data file",
|
|
multiple = FALSE,
|
|
accept = c(
|
|
"text/csv",
|
|
"text/comma-separated-values,text/plain",
|
|
".csv",
|
|
".xlsx",
|
|
".xls",
|
|
".dta",
|
|
".ods"
|
|
)
|
|
),
|
|
conditionalPanel(
|
|
condition = "output.uploaded=='yes'",
|
|
h4("Parameter specifications"),
|
|
radioButtons(
|
|
inputId = "regression_auto",
|
|
label = "Automatically choose function",
|
|
inline = TRUE,
|
|
choiceNames = c(
|
|
"Yes",
|
|
"No"
|
|
),
|
|
choiceValues = c(1, 2)
|
|
),
|
|
conditionalPanel(
|
|
condition = "input.regression_auto==2",
|
|
textInput(
|
|
inputId = "regression_formula",
|
|
label = "Formula string to render with 'glue::glue'",
|
|
value = "{outcome.str}~."
|
|
),
|
|
textInput(
|
|
inputId = "regression_fun",
|
|
label = "Function to use for analysis (needs pasckage and name)",
|
|
value = "stats::lm"
|
|
),
|
|
textInput(
|
|
inputId = "regression_args",
|
|
label = "Arguments to pass to the function (provided as a string)",
|
|
value = ""
|
|
)
|
|
),
|
|
helpText(em("Please specify relevant columns from your data, and press 'Load data'")),
|
|
uiOutput("outcome_var"),
|
|
radioButtons(
|
|
inputId = "all",
|
|
label = "Specify covariables",
|
|
inline = TRUE, selected = 2,
|
|
choiceNames = c(
|
|
"Yes",
|
|
"No"
|
|
),
|
|
choiceValues = c(1, 2)
|
|
),
|
|
conditionalPanel(
|
|
condition = "input.all==1",
|
|
uiOutput("include_vars")
|
|
),
|
|
actionButton("load", "Analyse", class = "btn-primary")
|
|
)
|
|
# ,
|
|
#
|
|
# # Horizontal line ----
|
|
# tags$hr(),
|
|
# h4("Download results"),
|
|
#
|
|
# # Button
|
|
# downloadButton(outputId="report",
|
|
# label= "Download",
|
|
# icon = shiny::icon("download"))
|
|
),
|
|
layout_columns(
|
|
cards[[1]]
|
|
),
|
|
layout_columns(
|
|
cards[[2]], cards[[3]]
|
|
)
|
|
)
|