Nothing
home_ui <- function(id) {
ns <- NS(id)
fluidRow(
class = "full-screen-home",
column(
width = 12,
class = "full-screen-home",
fixedPage(
fixedRow(
column(
width = 5,
div(
class = "home-logo-wrap",
img(
src = "img/logo_vcg.png",
class = "home-logo",
alt = "eVCGsampler"
)
)
),
column(
width = 7,
div(
h1(
"VCG sampler",
class = "mb-4 fs-1 fw-bold"
),
div(
class = "mb-4",
p(
"Draw a Virtual Control Group from your historical control pool that is",
"balanced to the treated animals, using energy-distance based covariate",
"balancing. Whole, unweighted animals are selected, so no special",
"downstream analysis is needed."
),
p(
class = "text-muted",
"Balancing is a final refinement step - it does not replace careful",
"pre-filtering of the historical control data, and it does not address",
"technical heterogeneity between studies. Your data is processed",
"temporarily in this session and is not uploaded, stored or shared."
)
),
# ------ WORKFLOW OVERVIEW -------------------------
div(
class = "card p-4 mb-4",
h3("The five steps", class = "fs-4 fw-bold mb-3"),
tags$ol(
class = "mb-0",
tags$li(tags$b("Data"), " - upload the POOL and the treated (TG) animals, in one file or two."),
tags$li(tags$b("Setup"), " - pick the group variable, the covariates to balance, optional strata and the VCG size."),
tags$li(tags$b("Pre-tests"), " - is there an imbalance worth correcting, and are any source studies outliers?"),
tags$li(tags$b("Sampling"), " - draw the VCG and check the balance covariate by covariate."),
tags$li(tags$b("Report"), " - download an HTML report and the sampled data set.")
)
),
p(
class = "text-end mb-0",
actionButton(
inputId = ns("start"),
label = "Start sampling",
class = "btn-primary text-uppercase",
onclick = "$('#tabcontent').data('shiny-input-binding').setValue($('#tabcontent'), 'import');"
)
)
)
)
)
)
)
)
}
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