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Valider 1770e0ba rédigé par Alain Guillet's avatar Alain Guillet
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library(shiny)
shinyUI(pageWithSidebar(
headerPanel("Théoreme central limite"),
conditionalPanel(
condition = "input.visM == false",
sidebarPanel(
tags$head(
tags$style(type="text/css", "label { display: inline; }"),
tags$style(type="text/css", '.checkbox input[type="checkbox"],.radio input[type="radio"] { float: none; }'),
tags$style(type="text/css", ".jslider { max-width: 250px; }"),
tags$style(type='text/css', ".well { max-width: 300px; }"),#class of the from inside sidebarPanel
tags$style(type='text/css', ".span4 { max-width: 400px; }"),#span4 is the span of sidebarPanel (span8 is for the mainPanel)
# tags$style(type='text/css', "#complementinfos { width: 150px; }"),
# tags$style(type='text/css', "#CVk { width: 150px; }"),
# tags$style(type='text/css', "#mx, #sx, #df1, #df2, #m1, #sd1, #m2, #sd2 { width: 30px; }"),
# tags$style(type='text/css', "select#display { width: 150px; }"),
# tags$style(type='text/css', "#mainInputs {margin : 0px 0px 4px 0px; }"),
# tags$style(type='text/css', "input[type=number] {width:50px;}"),
tags$script(type="text/javascript",src="js/scripts.js")
)
,h5(HTML("Paramètres de l'échantillonnage"))
,sliderInput("n",HTML("Nombre d'individus par échantillon : n"),min = 5,max = 200,value =100, step=5)
,sliderInput("ns",HTML("Nombre d'échantillons prélevés"), min = 1, max = 200, value = 1)
,h5(HTML("Paramètres de la distribution théorique"))
,selectInput("dist", " ",
choices = c ("Normale" = "DN"
,"Uniforme discrète" = "DUD"
,"Uniforme continue" = "DU"
,"Exponentielle" = "DE"
,"Chi-carree" = "DC"
,"Fisher" = "DF"
,"Bimodale"= "DB"
,"Binomiale" = "DBin")), #,"Log-Normale" = "DLN"
#Normale
conditionalPanel(condition = "input.dist == 'DN'"
,numericInput('mx', HTML("μ : "), min=5, max=15, value=10, step=0.1)
,numericInput('sx', HTML("σ : "), min=0.5, max=3.5, value=2, step=0.1)
#,HTML("μ"),sliderInput("mx","" , min = 5, max = 15, value = 10, step = 0.1)
#,HTML("σ"),sliderInput("sx","", min = 0.5, max = 3.5, value = 2, step = 0.1)
)
#Binomiale
,conditionalPanel(condition = "input.dist == 'DBin'"
,p(HTML("n est défini par le 1er slider des paramètres de l'échantillonnage"))
,numericInput('p', HTML("p : "), min=0, max=1, value=0.5, step=0.01)
)
#Log-Normale
#,conditionalPanel(condition = "input.dist == 'DLN'"
# ,HTML("μ"),sliderInput("lmx","" , min = 5, max = 15, value = 10, step = 0.1)
# ,HTML("σ"),sliderInput("lsx","", min = 0.5, max = 3.5, value = 2, step = 0.1)
# )
#Uniforme discrète
,conditionalPanel(condition = "input.dist == 'DUD'"
,sliderInput("RUD", "", min = 1, max = 12, value = c(1,6))
)
#Uniforme continue
,conditionalPanel(condition = "input.dist == 'DU'"
,p(HTML("&theta;<sub>1</sub> est fixé à 0"))
,numericInput('b', HTML("&theta;<sub>2</sub> : "), min=1, max=20, value=20, step=0.1)
#,HTML("&theta;<sub>2</sub>") ,sliderInput("b", "", min = 1, max = 20, value = 20, step = 0.1)
)
#Exponentielle
,conditionalPanel(condition = "input.dist == 'DE'"
,numericInput('Lambda', HTML("&lambda; : "), min=0.1, max=10, value=2, step=0.1)
#,HTML("&lambda;"),sliderInput("Lambda", "", min = 0.1, max = 10, value = 2, step = 0.1)
)
#Chi-carrée
,conditionalPanel(condition = "input.dist == 'DC'"
,numericInput('df', HTML("&nu; : "), min=1, max=20, value=5, step=1)
#,HTML("&nu;"),sliderInput("df", "", min = 1, max = 20, value = 5, step = 1)
)
#Fisher
,conditionalPanel(condition = "input.dist == 'DF'"
,numericInput('df1', HTML("&nu;<sub>1</sub> : "), min=1, max=50, value=5, step=1)
,numericInput('df2', HTML("&nu;<sub>2</sub> : "), min=1, max=100, value=20, step=1)
#,HTML("&nu;<sub>1</sub>"),sliderInput("df1", "", min = 1, max = 50, value = 5, step = 1)
#,HTML("&nu;<sub>2</sub>"),sliderInput("df2", "", min = 1, max = 100, value = 20, step = 1)
)
#Bimodale
,conditionalPanel(condition="input.dist=='DB'"
,numericInput('m1', HTML("&mu;<sub>1</sub> : "), min=8, max=12, value=8, step=0.1)
,numericInput('sd1', HTML("&sigma;<sub>1</sub> : "), min=1, max=2, value=1.5, step=0.01)
,br()
,numericInput('m2', HTML("&mu;<sub>2</sub> : "), min=1, max=5, value=4, step=0.1)
,numericInput('sd2', HTML("&sigma;<sub>2</sub> : "), min=1, max=2, value=1.1, step=0.01)
#,HTML("&mu;<sub>1</sub>"),sliderInput("m1", "", min=8, max=12, value=8, step=0.1)
#,HTML("&mu;<sub>2</sub>"),sliderInput("m2", "", min=1, max=5, value=4, step=0.1)
#,HTML("&sigma;<sub>1</sub>"),sliderInput("sd1", "", min=1, max=2, value=1.5, step=0.01)
#,HTML("&sigma;<sub>2</sub>"),sliderInput("sd2", "", min=1, max=2, value=1.1, step=0.01)
)
,h5("Paramètres graphiques"),
HTML ("Afficher :"),
br(),
checkboxInput("empPl",HTML("Statistiques descriptives"),TRUE),
br(),
checkboxInput("showreality",HTML("Distribution théorique d'origine"),TRUE),
br(),
conditionalPanel(condition = "input.dist != 'DBin'",
checkboxInput("showMdensity", HTML("Densité normale sur l'histogramme des moyennes"), FALSE)
,br()),
conditionalPanel(condition = "input.dist == 'DBin'",
checkboxInput("showNdensity", HTML("Densité normale sur les histogrammes"), FALSE)
,br()),
br(),
selectInput("range", HTML("Choix de l'étendue en abscisse"),
choices = c ("Spécifique au graphe" = "DifRange"
,"Identique pour tous les graphes" = "SameRange"
)),
br(),
#Normale
conditionalPanel(condition = "input.dist == 'DN'&& input.range =='SameRange'"
,sliderInput("rangeXdn", "",
min = -10, max = 40, value = c(0,20))),
conditionalPanel(condition = "input.dist == 'DN' && input.range =='DifRange'"
,sliderInput("rangeObsdn", "Observations",
min = -10, max = 40, value = c(0,20))
,sliderInput("rangeXbardn", "Moyennes",
min = 0, max = 20, value = c(8,12))),
#Binomiale
conditionalPanel(condition = "input.dist == 'DBin'&& input.range =='SameRange'"
,sliderInput("rangeXdbin", "",
min = 0, max = 200, value = c(0,100))),
conditionalPanel(condition = "input.dist == 'DBin' && input.range =='DifRange'"
,sliderInput("rangeObsdbin", "Observations",
min = 0, max = 200, value = c(0,100))
,sliderInput("rangeXbardbin", "Moyennes",
min = 0, max = 1, value = c(0,1))),
#Log-normale
#conditionalPanel(condition = "input.dist == 'DLN'&& input.range =='SameRange'"
# ,sliderInput("rangeXdln", "",
# min = -10, max = 40, value = c(1,20))),
#Uniforme discrète
conditionalPanel(condition = "input.dist == 'DUD'&& input.range =='SameRange'"
,sliderInput("rangeXdud", HTML("Choix de l'étendue en abscisse"),
min = 0, max = 12, value = c(1,6))),
conditionalPanel(condition = "input.dist == 'DUD' && input.range =='DifRange'"
,sliderInput("rangeObsdud", "Observations",
min = 0, max = 12, value = c(1,6))
,sliderInput("rangeXbardud", "Moyennes",
min = 0, max = 12, value = c(1,6))),
#Uniforme continue
conditionalPanel(condition = "input.dist == 'DU'&& input.range =='SameRange'"
,sliderInput("rangeXdu", HTML("Choix de l'étendue en abscisse"),
min = -5, max = 25, value = c(-1,21))),
conditionalPanel(condition = "input.dist == 'DU' && input.range =='DifRange'"
,sliderInput("rangeObsdu", "Observations",
min = -5, max = 25, value = c(-1,21))
,sliderInput("rangeXbardu", "Moyennes",
min = 0, max = 20, value = c(7,13))),
#Exponentielle
conditionalPanel(condition = "input.dist == 'DE'&& input.range =='SameRange'"
,sliderInput("rangeXde", HTML("Choix de l'étendue en abscisse"),
min = -5, max = 20, value = c(0,5))),
conditionalPanel(condition = "input.dist == 'DE' && input.range =='DifRange'"
,sliderInput("rangeObsde", "Observations",
min = -5, max = 20, value = c(0,5))
,sliderInput("rangeXbarde", "Moyennes",
min = -1, max = 5, value = c(0,1))),
#Chi-carrée
conditionalPanel(condition = "input.dist == 'DC'&& input.range =='SameRange'"
,sliderInput("rangeXdc", HTML("Choix de l'étendue en abscisse"),
min = -5, max = 60, value = c(0,20))),
conditionalPanel(condition = "input.dist == 'DC' && input.range =='DifRange'"
,sliderInput("rangeObsdc", "Observations",
min = -5, max = 60, value = c(0,30))
,sliderInput("rangeXbardc", "Moyennes",
min = 0, max = 25, value = c(3,7))),
#Fisher
conditionalPanel(condition = "input.dist == 'DF'&& input.range =='SameRange'"
,sliderInput("rangeXdf", HTML("Choix de l'étendue en abscisse"),
min = -5, max = 10, value = c(0,5))),
conditionalPanel(condition = "input.dist == 'DF' && input.range =='DifRange'"
,sliderInput("rangeObsdf", "Observations",
min = -5, max = 50, value = c(0,10))
,sliderInput("rangeXbardf", "Moyennes",
min = 0, max = 5, value = c(0,2))),
#Bimodale
conditionalPanel(condition="input.dist=='DB'&& input.range =='SameRange'"
,sliderInput("rangeXdb", HTML("Choix de l'étendue en abscisse"),
min=-20, max=40, value=c(0,15))),
conditionalPanel(condition = "input.dist == 'DB' && input.range =='DifRange'"
,sliderInput("rangeObsdb", "Observations",
min=-20, max=40, value=c(0,15))
,sliderInput("rangeXbardb", "Moyennes",
min=-0, max=10, value=c(4,8))),
selectInput("display", "Display :",
list("Defaut" = "default",
"1024x768" = "1024",
"800x600" = "800")),
HTML('<hr style="border:1px solid #ccc;"/>'),
HTML('<a rel="license" href="http://creativecommons.org/licenses/by/2.0/be/"><img alt="Licence Creative Commons" style="border-width:0" src="img/cc_by_80x15.png" /></a> Cette oeuvre de <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Statistical eLearning Tools</span> est mise à disposition selon les termes de la <a rel="license" href="http://creativecommons.org/licenses/by/2.0/be/">licence Creative Commons Attribution 2.0 Belgique</a>.'),
HTML('<p>Code source disponible sur <a href="https://github.com/uclouvain-selt/shiny/tree/master/tcl" target="_blank">Github</a></p><p><a href="http://www.uclouvain.be/" target="_blank" title="Copyright - Université catholique de Louvain"><img alt="Copyright - Université catholique de Louvain" style="border-width:0" src="img/UCL_2018.png" width=100 /></a></p>')
)
),
mainPanel(
HTML("<div id='mainInputs'>"),
actionButton("takesample","Echantillonner"),actionButton("reset","Reset"),checkboxInput("visM",HTML("Plein écran"),FALSE),
HTML("</div>"),
plotOutput("doublePlot", height = "auto")
)
))
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