Nothing
inst/yupana/ui.R
In inti: Tools and Statistical Procedures in Plant Science
# -------------------------------------------------------------------------
# yupana ------------------------------------------------------------------
# -------------------------------------------------------------------------
#> open https://flavjack.github.io/inti/
#> open https://flavjack.shinyapps.io/yupana/
#> author .: Flavio Lozano-Isla (lozanoisla.com)
#> date .: 2023-01-21
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
# packages ----------------------------------------------------------------
# -------------------------------------------------------------------------
#> devtools::install_github("flavjack/inti")
source("www/msgs.R")
suppressPackageStartupMessages({source("pkgs.R")})
# -------------------------------------------------------------------------
options("googleAuthR.scopes.selected" = c("https://www.googleapis.com/auth/spreadsheets"
, "https://www.googleapis.com/auth/userinfo.email"
))
options(gargle_oob_default = TRUE)
options(shiny.port = 1221)
if (file.exists("www/cloud.json")) gar_set_client(web_json = "www/cloud.json", activate = "web")
# -------------------------------------------------------------------------
# app ---------------------------------------------------------------------
# -------------------------------------------------------------------------
navbarPage(title = div(
HTML('<h3><strong><a target="_blank" href="https://inkaverse.com/">Yupana</a></strong></h3>')
, div(
id = "support"
, HTML(paste("<a target='_blank' href='https://github.com/sponsors/flavjack' style='color:white'>"
, h4(icon("heart")) , "</a>"))
)
, div(
id = "version"
, HTML(paste("<a target='_blank' href='https://inkaverse.com/news/'>inti"
, packageVersion('inti') , "</a>"))
)
)
, windowTitle = "Yupana • app"
, selected = "Intro"
, theme = "bootstrap_sandstone.css" #!
, position = "fixed-top"
,
# -------------------------------------------------------------------------
# Yupana Info -------------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel("Intro", icon = icon("home")
, bs_theme_dependencies("flatly") #!
, includeCSS("www/custom.css")
, tags$head(includeHTML(("www/analytics.html")))
, tags$head(tags$link(rel="shortcut icon"
, href="https://flavjack.github.io/inti/img/inkaverse.png")),
meta() %>%
meta_social(
title = "Yupana",
description = "Yupana: platform for statistical data analysis",
url = "https://flavjack.shinyapps.io/yupana/",
image = "https://flavjack.github.io/inti/img/yupana.png",
image_alt = "inkaverse.com"
)
, fluidRow(
column(width = 1,
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://inkaverse.com/articles/yupana.html">
<img src="https://flavjack.github.io/inti/img/yupana.png" style="height:80px" title="Yupana"></a>
<span style="display:block;"><small>Yupana</small></span>
</p></div>
</div>
'),
br(),
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://flavjack.github.io/inti/index.html">
<img src="https://flavjack.github.io/inti/logo.png" style="height:80px" title="flozano"></a>
<span style="display:block;"><small>project</small></span>
</p></div>
</div>
')
),
column(width = 3,
box(title = "Presentacion"
, solidHeader = T
, background = "green"
, width = 12
, status = "primary",
HTML('
<p>
Yupana es una plataforma interactiva para el análisis y gráfica de datos de diseños experimentales.
Está desarrollada con la finalidad de promover las buenas prácticas en la colecta, análisis y manipulación de datos.
Yupana tiene el objetivo de "continuidad" entre el uso de la aplicación y el software estadístico R.
Yupana está basada en el paquete <strong><em>inti</em></strong>:
“<em>Tools and statistical procedures for experimentals designs and plant breeding</em>”. </p>
'),
),
box(title = "Caracteristicas"
, solidHeader = T
, background = "green"
, width = 12
, status = "primary",
HTML('
<p>
Yupana está diseñado pensando en la reproductibilidad de los resultados.
Los análisis realizados se almacenará en la hojas de cálculo privadas de cada usuario.
Los resultados de Yupana pueden ser usados en R o viceversa. Yupana además permite:
</p>
<ul>
<li>Estadística descriptiva y resumen de los datos.
<li>Pruebas de comparación de medias.
<li>Gráficos de diagnóstico de los modelos.
<li>Gráficos interactivo con opciones de personalización.
<li>Análisis multivariados.
</li>
</ul>
'),
),
),
column(width = 7,
fluidRow(
box(title = div(h4(icon("key")), align = "right")
, width = 1,
div(
uiOutput("login")
, align = "center")
),
box(title = div(h4(icon("google"), "Fieldbook Google Sheets (URL)"), align = "center")
, width = 11
, solidHeader = T
, status = "primary",
textInput(inputId = "fieldbook_url",
label = NULL
, width = "100%"
, value = ""
, placeholder = "Insert google sheet url"
)
),
),
fluidRow(
box(title = h5("Fieldbook")
, width = 2
, solidHeader = T,
uiOutput("fieldbook_gsheet")
),
box(title = h5("Last factor")
, width = 2
, solidHeader = T,
uiOutput("fb_last_factor")
),
box(title = h5("Model factors (optional)")
, width = 6
, solidHeader = T,
textInput(inputId = "fb_model_factors"
, label = NULL
, width = "100%"
, placeholder = "e.g. block + factor1*factor2"
)
),
box(title = div(h5("Open GS"), align = "center")
, width = 2
, solidHeader = T,
div(
uiOutput("open_url")
, align = "center")
)
),
br(),
fluidRow(
box(title = "¿Cómo usar Yupana?"
, width = 6
, solidHeader = T
, height = "200px"
, status = "primary",
HTML('
<p>
Para usar Yupana es necesario que tus datos esten en una hoja de cálculo de google.
</p>
<ol>
<li>Introduce el URL de tu documento y selecciona el nombre de la hoja donde está tu base de datos
(información mínima requerida para usar la app).
<li>Debes dar los permisos para editar las hojas haciendo “LOG IN”;
ya que la app requiere los permisos correspondientes para leer y exportar la información generada.
Más información en la politicas de privacidad: <a href="https://inkaverse.com/articles/policy"> https://inkaverse.com/articles/policy </a>
<li>En la versión web, cuando des los permisos el botón de "LOG IN" cambiará a “LOG OUT” (color rojo).
Lo que significa que ahora puedes interactuar con tu información y analizar tus datos.
<li>Cualquier problema o sugerencia puedes escribir en el rastreador de problemas.
<a href="https://github.com/Flavjack/inti/issues">https://github.com/Flavjack/inti/issues</a>
</li>
</ol>
'),
),
box(title = "Recomendaciones"
, width = 6
, solidHeader = T
, height = "200px"
, status = "primary",
HTML('
<p>
Antes de iniciar a usar Yupana ten en cuenta las siguientes recomendaciones.
</p>
<ul>
<li>Crea una copia de seguridad de tu documento.
Vé a tu hoja de cálculo: <em>Archivo > Historial de versiones > Asignar un nombre a la versión actual</em>.
De esa manera puedes crear múltiples copias de seguridad de tu base de datos, sin crear múltiples documentos.
<li>Es recomendable solo tener una libro de campo "fieldbook" por cada experimento.
Si tienes muchas pestañas que dificultan tu trabajo, puedes ir ocultandolas (<em>click derecho en la pestaña > Ocultar hoja</em>).
Al momento de usar la app puedes especificar qué hoja deseas utilizar y la app extrae la información de la hoja indicada.
<li>Si deseas crear un diseño experimental que luego puede ser usado de forma rápida en Yupana,
puedes usar la app Tarpuy: <a href="https://flavjack.shinyapps.io/tarpuy/">https://flavjack.shinyapps.io/tarpuy/</a>
</li>
</ul>
'),
)
),
),
column(1,
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://www.youtube.com/playlist?list=PLSQMdOu57lj9sTx5Dbff9O0g6KCU4pwCQ">
<img src="https://flavjack.github.io/inti/img/youtube.png" style="height:60px" title="demo"></a>
<span style="display:block;"><small>demo</small></span>
</p></div>
</div>
'),
br(),
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://flavjack.shinyapps.io/tarpuy/">
<img src="https://flavjack.github.io/inti/img/tarpuy.png" style="height:80px" title="tarpuy"></a>
<span style="display:block;"><small>Tarpuy</small></span>
</p></div>
</div>
'),
br(),
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://huito.inkaverse.com/">
<img src="https://huito.inkaverse.com/logo.png" style="height:80px" title="huito"></a>
<span style="display:block;"><small>Huito</small></span>
</p></div>
</div>
')
)
)
),
# Exploratory -------------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel(h5(icon("magnifying-glass-chart"), "Exploratory"),
fluidRow(
column(2,
fixedRow(
column(12,
selectInput(
inputId = "raw_type"
, label = "Type"
, choices = c("boxplot", "scatterplot")
)
),
column(12,
uiOutput("raw_response"),
),
column(12,
uiOutput("raw_x"),
),
column(12,
uiOutput("raw_group"),
),
column(6,
textInput(
inputId ="raw_ylimits"
, label = "Y limits"
, placeholder = "0*100*20"
)
),
column(6,
textInput(
inputId ="raw_xrotation"
, label = "X rotation"
, value = "0*0.5*0.5"
, placeholder = "angle*h*v"
)
),
column(12,
textInput(
inputId = "raw_dimension"
, label = "Dimensions (W*H*dpi)"
, placeholder = "W*H*dpi"
, value = "20*10*100"
)
)
)
),
column(8,
uiOutput("plot_raw"),
),
column(2,
fixedRow(
column(6,
selectInput(
inputId ="raw_color"
, label = "Color"
, choices = c("yes", "no")
)
),
column(6,
selectInput(
inputId = "raw_legend"
, label = "Legend"
, choices = c("top", "bottom", "left", "right", "none")
)
),
column(12,
textInput(
inputId ="raw_ylab"
, label = "Y label"
)
),
column(12,
textInput(
inputId ="raw_xlab"
, label = "X label"
)
),
column(12,
textInput(
inputId ="raw_glab"
, label = "Group label"
)
),
column(12,
textInput(
inputId ="raw_gtext"
, label = "Group brake labels (,)"
)
),
column(12,
textInput(
inputId ="raw_xtext"
, label = "X brake labels (,)"
)
),
column(12,
textInput(
inputId ="raw_opt"
, label = "Opt"
, placeholder = "extra layers"
)
)
)
)
)
),
# Yupana Analysis ---------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel(h5(icon("chart-simple"), "Analysis"),
fluidRow(
column(2,
radioButtons(inputId = "analysis_preview_opt"
, label = "Modules"
, choices = c("Gsheet"
, "Model"
, "Diagnostic"
)
, inline = TRUE
, selected = "Model"
),
uiOutput("analysis_last_factor"),
uiOutput("analysis_response"),
uiOutput("analysis_comparison"),
uiOutput("analysis_model_factors"),
selectInput(
inputId = "analysis_test_comparison"
, label = "Test comparison"
, choices = c("SNK", "TUKEY", "DUNCAN")
),
fluidRow(
column(7,
numericInput(
inputId = "analysis_sig_level"
, label = "Significance level"
, value = 0.05
, step = 0.01
, min = 0
, max = 0.5
)
),
column(5,
numericInput(
inputId = "analysis_digits"
, label = "Digits"
, value = 2
, min = 0
, step = 1
)
)
)
),
column(10,
uiOutput("analysis_preview")
)
)
# Yupana Graphics ---------------------------------------------------------
# -------------------------------------------------------------------------
),
tabPanel(h5(icon("feather-pointed"), "Graphics"),
fluidRow(
column(2,
fixedRow(
column(12,
radioButtons(inputId = "smr_preview_opt"
, label = "Modules"
, choices = c("Gsheet"
, "Plots")
, selected = "Plots"
, inline = TRUE)
),
column(12,
uiOutput("smr_type")
),
column(12,
uiOutput("smr_response")
),
column(12,
uiOutput("smr_x")
),
column(12,
uiOutput("smr_group")
),
column(6,
uiOutput("smr_sig")
),
column(6,
uiOutput("smr_error")
),
column(6,
uiOutput("smr_ylimits")
),
column(6,
uiOutput("smr_xrotation")
),
column(12,
uiOutput("smr_dimension")
),
)
),
#>
column(8,
fluidRow(
box(width = 12,
div(
class = "plotsave",
div(
actionButton(inputId = "graph_smr_load"
, label = "Load"
, class = "btn btn-primary"
),
),
div(
uiOutput("graph_sheet_save"),
),
div(
radioButtons(inputId = "graph_smr_overwrite"
, label = "Overwrite"
, inline = TRUE
, choices = c("no", "yes")
),
),
div(
actionButton(inputId = "graph_smr_save"
, label = "Save"
, class = "btn btn-warning"
),
),
),
),
),
br(),
br(),
box(width = 12,
uiOutput("plot_smr"),
),
),
column(2,
fixedRow(
column(12,
HTML('<p>Model</p>'),
verbatimTextOutput("analysis_model")
),
column(6,
uiOutput("plot_color"),
),
column(6,
uiOutput("plot_error"),
),
column(12,
uiOutput("plot_ylab")
),
column(12,
uiOutput("plot_xlab")
),
column(12,
uiOutput("plot_glab")
),
column(12,
uiOutput("plot_gtext")
),
column(12,
uiOutput("plot_xtext")
),
column(12,
uiOutput("plot_opt")
)
)
)
)
# multivariate ------------------------------------------------------------
# -------------------------------------------------------------------------
),
tabPanel(h5(icon("gears"), "Multivariate"),
fluidRow(
column(2,
radioButtons(inputId = "mvr_module"
, label = "Modules"
, choices = c("PCA"
, "HCPC"
, "CORR"
)
, inline = TRUE
),
uiOutput("mvr_last_factor"),
uiOutput("mvr_facts"),
uiOutput("mvr_groups"),
uiOutput("mvr_variables"),
conditionalPanel(
condition = "input.mvr_module == 'PCA'",
textInput(
inputId ="mvr_dimension_pca_var"
, label = "Dimensions (W*H*dpi) - PCA var"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
textInput(
inputId ="mvr_dimension_pca_ind"
, label = "Dimensions (W*H*dpi) - PCA ind"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
),
conditionalPanel(
condition = "input.mvr_module == 'HCPC'",
textInput(
inputId ="mvr_dimension_hcp_tree"
, label = "Dimensions (W*H*dpi) - HCPC tree"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
textInput(
inputId ="mvr_dimension_hcp_map"
, label = "Dimensions (W*H*dpi) - HCPC map"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
),
conditionalPanel(
condition = "input.mvr_module == 'CORR'",
selectInput(
inputId = "mvr_cor_method"
, label = "Correlation method"
, choices = c("pearson","spearman","kendall")
),
radioButtons(inputId = "mvr_cor_scale"
, label = "Correlation scale"
, choices = c("no" = FALSE
, "yes" = TRUE
)
, inline = TRUE
),
textInput(
inputId ="mvr_dimension_cor"
, label = "Dimensions (W*H*dpi) - Correlation"
, placeholder = "w*h*dpi"
, value = "18*18*100"
)
),
),
column(width = 10,
uiOutput("mvr_preview")
),
br()
)
),
# Yupana Fieldbook --------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel(h5(icon("book"), "Fieldbook"),
fluidRow(
column(2,
radioButtons(inputId = "fb_preview_opt"
, label = "Modules"
, choices = c("Reshape")
, inline = TRUE
),
uiOutput("fb_modules"),
br(),
),
column(width = 10,
uiOutput("fieldbook_preview")
),
)
)
# Yupana end code ---------------------------------------------------------
# -------------------------------------------------------------------------
)
Try the inti package in your browser
Any scripts or data that you put into this service are public.
inti documentation built on Oct. 27, 2023, 9:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
# -------------------------------------------------------------------------
# yupana ------------------------------------------------------------------
# -------------------------------------------------------------------------
#> open https://flavjack.github.io/inti/
#> open https://flavjack.shinyapps.io/yupana/
#> author .: Flavio Lozano-Isla (lozanoisla.com)
#> date .: 2023-01-21
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
# packages ----------------------------------------------------------------
# -------------------------------------------------------------------------
#> devtools::install_github("flavjack/inti")
source("www/msgs.R")
suppressPackageStartupMessages({source("pkgs.R")})
# -------------------------------------------------------------------------
options("googleAuthR.scopes.selected" = c("https://www.googleapis.com/auth/spreadsheets"
, "https://www.googleapis.com/auth/userinfo.email"
))
options(gargle_oob_default = TRUE)
options(shiny.port = 1221)
if (file.exists("www/cloud.json")) gar_set_client(web_json = "www/cloud.json", activate = "web")
# -------------------------------------------------------------------------
# app ---------------------------------------------------------------------
# -------------------------------------------------------------------------
navbarPage(title = div(
HTML('<h3><strong><a target="_blank" href="https://inkaverse.com/">Yupana</a></strong></h3>')
, div(
id = "support"
, HTML(paste("<a target='_blank' href='https://github.com/sponsors/flavjack' style='color:white'>"
, h4(icon("heart")) , "</a>"))
)
, div(
id = "version"
, HTML(paste("<a target='_blank' href='https://inkaverse.com/news/'>inti"
, packageVersion('inti') , "</a>"))
)
)
, windowTitle = "Yupana • app"
, selected = "Intro"
, theme = "bootstrap_sandstone.css" #!
, position = "fixed-top"
,
# -------------------------------------------------------------------------
# Yupana Info -------------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel("Intro", icon = icon("home")
, bs_theme_dependencies("flatly") #!
, includeCSS("www/custom.css")
, tags$head(includeHTML(("www/analytics.html")))
, tags$head(tags$link(rel="shortcut icon"
, href="https://flavjack.github.io/inti/img/inkaverse.png")),
meta() %>%
meta_social(
title = "Yupana",
description = "Yupana: platform for statistical data analysis",
url = "https://flavjack.shinyapps.io/yupana/",
image = "https://flavjack.github.io/inti/img/yupana.png",
image_alt = "inkaverse.com"
)
, fluidRow(
column(width = 1,
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://inkaverse.com/articles/yupana.html">
<img src="https://flavjack.github.io/inti/img/yupana.png" style="height:80px" title="Yupana"></a>
<span style="display:block;"><small>Yupana</small></span>
</p></div>
</div>
'),
br(),
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://flavjack.github.io/inti/index.html">
<img src="https://flavjack.github.io/inti/logo.png" style="height:80px" title="flozano"></a>
<span style="display:block;"><small>project</small></span>
</p></div>
</div>
')
),
column(width = 3,
box(title = "Presentacion"
, solidHeader = T
, background = "green"
, width = 12
, status = "primary",
HTML('
<p>
Yupana es una plataforma interactiva para el análisis y gráfica de datos de diseños experimentales.
Está desarrollada con la finalidad de promover las buenas prácticas en la colecta, análisis y manipulación de datos.
Yupana tiene el objetivo de "continuidad" entre el uso de la aplicación y el software estadístico R.
Yupana está basada en el paquete <strong><em>inti</em></strong>:
“<em>Tools and statistical procedures for experimentals designs and plant breeding</em>”. </p>
'),
),
box(title = "Caracteristicas"
, solidHeader = T
, background = "green"
, width = 12
, status = "primary",
HTML('
<p>
Yupana está diseñado pensando en la reproductibilidad de los resultados.
Los análisis realizados se almacenará en la hojas de cálculo privadas de cada usuario.
Los resultados de Yupana pueden ser usados en R o viceversa. Yupana además permite:
</p>
<ul>
<li>Estadística descriptiva y resumen de los datos.
<li>Pruebas de comparación de medias.
<li>Gráficos de diagnóstico de los modelos.
<li>Gráficos interactivo con opciones de personalización.
<li>Análisis multivariados.
</li>
</ul>
'),
),
),
column(width = 7,
fluidRow(
box(title = div(h4(icon("key")), align = "right")
, width = 1,
div(
uiOutput("login")
, align = "center")
),
box(title = div(h4(icon("google"), "Fieldbook Google Sheets (URL)"), align = "center")
, width = 11
, solidHeader = T
, status = "primary",
textInput(inputId = "fieldbook_url",
label = NULL
, width = "100%"
, value = ""
, placeholder = "Insert google sheet url"
)
),
),
fluidRow(
box(title = h5("Fieldbook")
, width = 2
, solidHeader = T,
uiOutput("fieldbook_gsheet")
),
box(title = h5("Last factor")
, width = 2
, solidHeader = T,
uiOutput("fb_last_factor")
),
box(title = h5("Model factors (optional)")
, width = 6
, solidHeader = T,
textInput(inputId = "fb_model_factors"
, label = NULL
, width = "100%"
, placeholder = "e.g. block + factor1*factor2"
)
),
box(title = div(h5("Open GS"), align = "center")
, width = 2
, solidHeader = T,
div(
uiOutput("open_url")
, align = "center")
)
),
br(),
fluidRow(
box(title = "¿Cómo usar Yupana?"
, width = 6
, solidHeader = T
, height = "200px"
, status = "primary",
HTML('
<p>
Para usar Yupana es necesario que tus datos esten en una hoja de cálculo de google.
</p>
<ol>
<li>Introduce el URL de tu documento y selecciona el nombre de la hoja donde está tu base de datos
(información mínima requerida para usar la app).
<li>Debes dar los permisos para editar las hojas haciendo “LOG IN”;
ya que la app requiere los permisos correspondientes para leer y exportar la información generada.
Más información en la politicas de privacidad: <a href="https://inkaverse.com/articles/policy"> https://inkaverse.com/articles/policy </a>
<li>En la versión web, cuando des los permisos el botón de "LOG IN" cambiará a “LOG OUT” (color rojo).
Lo que significa que ahora puedes interactuar con tu información y analizar tus datos.
<li>Cualquier problema o sugerencia puedes escribir en el rastreador de problemas.
<a href="https://github.com/Flavjack/inti/issues">https://github.com/Flavjack/inti/issues</a>
</li>
</ol>
'),
),
box(title = "Recomendaciones"
, width = 6
, solidHeader = T
, height = "200px"
, status = "primary",
HTML('
<p>
Antes de iniciar a usar Yupana ten en cuenta las siguientes recomendaciones.
</p>
<ul>
<li>Crea una copia de seguridad de tu documento.
Vé a tu hoja de cálculo: <em>Archivo > Historial de versiones > Asignar un nombre a la versión actual</em>.
De esa manera puedes crear múltiples copias de seguridad de tu base de datos, sin crear múltiples documentos.
<li>Es recomendable solo tener una libro de campo "fieldbook" por cada experimento.
Si tienes muchas pestañas que dificultan tu trabajo, puedes ir ocultandolas (<em>click derecho en la pestaña > Ocultar hoja</em>).
Al momento de usar la app puedes especificar qué hoja deseas utilizar y la app extrae la información de la hoja indicada.
<li>Si deseas crear un diseño experimental que luego puede ser usado de forma rápida en Yupana,
puedes usar la app Tarpuy: <a href="https://flavjack.shinyapps.io/tarpuy/">https://flavjack.shinyapps.io/tarpuy/</a>
</li>
</ul>
'),
)
),
),
column(1,
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://www.youtube.com/playlist?list=PLSQMdOu57lj9sTx5Dbff9O0g6KCU4pwCQ">
<img src="https://flavjack.github.io/inti/img/youtube.png" style="height:60px" title="demo"></a>
<span style="display:block;"><small>demo</small></span>
</p></div>
</div>
'),
br(),
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://flavjack.shinyapps.io/tarpuy/">
<img src="https://flavjack.github.io/inti/img/tarpuy.png" style="height:80px" title="tarpuy"></a>
<span style="display:block;"><small>Tarpuy</small></span>
</p></div>
</div>
'),
br(),
HTML('
<div id=footer style="width:100%; margin:auto;">
<div style="display:inline-block; width:100%">
<p style="text-align:center">
<a target="_blank" href="https://huito.inkaverse.com/">
<img src="https://huito.inkaverse.com/logo.png" style="height:80px" title="huito"></a>
<span style="display:block;"><small>Huito</small></span>
</p></div>
</div>
')
)
)
),
# Exploratory -------------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel(h5(icon("magnifying-glass-chart"), "Exploratory"),
fluidRow(
column(2,
fixedRow(
column(12,
selectInput(
inputId = "raw_type"
, label = "Type"
, choices = c("boxplot", "scatterplot")
)
),
column(12,
uiOutput("raw_response"),
),
column(12,
uiOutput("raw_x"),
),
column(12,
uiOutput("raw_group"),
),
column(6,
textInput(
inputId ="raw_ylimits"
, label = "Y limits"
, placeholder = "0*100*20"
)
),
column(6,
textInput(
inputId ="raw_xrotation"
, label = "X rotation"
, value = "0*0.5*0.5"
, placeholder = "angle*h*v"
)
),
column(12,
textInput(
inputId = "raw_dimension"
, label = "Dimensions (W*H*dpi)"
, placeholder = "W*H*dpi"
, value = "20*10*100"
)
)
)
),
column(8,
uiOutput("plot_raw"),
),
column(2,
fixedRow(
column(6,
selectInput(
inputId ="raw_color"
, label = "Color"
, choices = c("yes", "no")
)
),
column(6,
selectInput(
inputId = "raw_legend"
, label = "Legend"
, choices = c("top", "bottom", "left", "right", "none")
)
),
column(12,
textInput(
inputId ="raw_ylab"
, label = "Y label"
)
),
column(12,
textInput(
inputId ="raw_xlab"
, label = "X label"
)
),
column(12,
textInput(
inputId ="raw_glab"
, label = "Group label"
)
),
column(12,
textInput(
inputId ="raw_gtext"
, label = "Group brake labels (,)"
)
),
column(12,
textInput(
inputId ="raw_xtext"
, label = "X brake labels (,)"
)
),
column(12,
textInput(
inputId ="raw_opt"
, label = "Opt"
, placeholder = "extra layers"
)
)
)
)
)
),
# Yupana Analysis ---------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel(h5(icon("chart-simple"), "Analysis"),
fluidRow(
column(2,
radioButtons(inputId = "analysis_preview_opt"
, label = "Modules"
, choices = c("Gsheet"
, "Model"
, "Diagnostic"
)
, inline = TRUE
, selected = "Model"
),
uiOutput("analysis_last_factor"),
uiOutput("analysis_response"),
uiOutput("analysis_comparison"),
uiOutput("analysis_model_factors"),
selectInput(
inputId = "analysis_test_comparison"
, label = "Test comparison"
, choices = c("SNK", "TUKEY", "DUNCAN")
),
fluidRow(
column(7,
numericInput(
inputId = "analysis_sig_level"
, label = "Significance level"
, value = 0.05
, step = 0.01
, min = 0
, max = 0.5
)
),
column(5,
numericInput(
inputId = "analysis_digits"
, label = "Digits"
, value = 2
, min = 0
, step = 1
)
)
)
),
column(10,
uiOutput("analysis_preview")
)
)
# Yupana Graphics ---------------------------------------------------------
# -------------------------------------------------------------------------
),
tabPanel(h5(icon("feather-pointed"), "Graphics"),
fluidRow(
column(2,
fixedRow(
column(12,
radioButtons(inputId = "smr_preview_opt"
, label = "Modules"
, choices = c("Gsheet"
, "Plots")
, selected = "Plots"
, inline = TRUE)
),
column(12,
uiOutput("smr_type")
),
column(12,
uiOutput("smr_response")
),
column(12,
uiOutput("smr_x")
),
column(12,
uiOutput("smr_group")
),
column(6,
uiOutput("smr_sig")
),
column(6,
uiOutput("smr_error")
),
column(6,
uiOutput("smr_ylimits")
),
column(6,
uiOutput("smr_xrotation")
),
column(12,
uiOutput("smr_dimension")
),
)
),
#>
column(8,
fluidRow(
box(width = 12,
div(
class = "plotsave",
div(
actionButton(inputId = "graph_smr_load"
, label = "Load"
, class = "btn btn-primary"
),
),
div(
uiOutput("graph_sheet_save"),
),
div(
radioButtons(inputId = "graph_smr_overwrite"
, label = "Overwrite"
, inline = TRUE
, choices = c("no", "yes")
),
),
div(
actionButton(inputId = "graph_smr_save"
, label = "Save"
, class = "btn btn-warning"
),
),
),
),
),
br(),
br(),
box(width = 12,
uiOutput("plot_smr"),
),
),
column(2,
fixedRow(
column(12,
HTML('<p>Model</p>'),
verbatimTextOutput("analysis_model")
),
column(6,
uiOutput("plot_color"),
),
column(6,
uiOutput("plot_error"),
),
column(12,
uiOutput("plot_ylab")
),
column(12,
uiOutput("plot_xlab")
),
column(12,
uiOutput("plot_glab")
),
column(12,
uiOutput("plot_gtext")
),
column(12,
uiOutput("plot_xtext")
),
column(12,
uiOutput("plot_opt")
)
)
)
)
# multivariate ------------------------------------------------------------
# -------------------------------------------------------------------------
),
tabPanel(h5(icon("gears"), "Multivariate"),
fluidRow(
column(2,
radioButtons(inputId = "mvr_module"
, label = "Modules"
, choices = c("PCA"
, "HCPC"
, "CORR"
)
, inline = TRUE
),
uiOutput("mvr_last_factor"),
uiOutput("mvr_facts"),
uiOutput("mvr_groups"),
uiOutput("mvr_variables"),
conditionalPanel(
condition = "input.mvr_module == 'PCA'",
textInput(
inputId ="mvr_dimension_pca_var"
, label = "Dimensions (W*H*dpi) - PCA var"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
textInput(
inputId ="mvr_dimension_pca_ind"
, label = "Dimensions (W*H*dpi) - PCA ind"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
),
conditionalPanel(
condition = "input.mvr_module == 'HCPC'",
textInput(
inputId ="mvr_dimension_hcp_tree"
, label = "Dimensions (W*H*dpi) - HCPC tree"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
textInput(
inputId ="mvr_dimension_hcp_map"
, label = "Dimensions (W*H*dpi) - HCPC map"
, placeholder = "w*h*dpi"
, value = "16*16*100"
),
),
conditionalPanel(
condition = "input.mvr_module == 'CORR'",
selectInput(
inputId = "mvr_cor_method"
, label = "Correlation method"
, choices = c("pearson","spearman","kendall")
),
radioButtons(inputId = "mvr_cor_scale"
, label = "Correlation scale"
, choices = c("no" = FALSE
, "yes" = TRUE
)
, inline = TRUE
),
textInput(
inputId ="mvr_dimension_cor"
, label = "Dimensions (W*H*dpi) - Correlation"
, placeholder = "w*h*dpi"
, value = "18*18*100"
)
),
),
column(width = 10,
uiOutput("mvr_preview")
),
br()
)
),
# Yupana Fieldbook --------------------------------------------------------
# -------------------------------------------------------------------------
tabPanel(h5(icon("book"), "Fieldbook"),
fluidRow(
column(2,
radioButtons(inputId = "fb_preview_opt"
, label = "Modules"
, choices = c("Reshape")
, inline = TRUE
),
uiOutput("fb_modules"),
br(),
),
column(width = 10,
uiOutput("fieldbook_preview")
),
)
)
# Yupana end code ---------------------------------------------------------
# -------------------------------------------------------------------------
)
Try the inti package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.