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Shiny application to learn p-value
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## | |
p_stat_t <- function(v, df = 1, | |
alternative = "two.sided"){ | |
if (!alternative %in% c("two.sided", "less", "greater")) { | |
stop("alternative must be either \"two.sided\", \"less\", or \"greater\".") | |
} | |
if(alternative == "two.sided"){ | |
p0 <- 2*pt(abs(v), df, lower.tail = FALSE) | |
}else if(alternative == "less"){ | |
p0 <- pt(v, df) | |
}else if(alternative == "greater"){ | |
p0 <- pt(v, df, lower.tail = FALSE) | |
} | |
return(p0) | |
} | |
q_stat_t <- function(p, df = 1, | |
alternative = "two.sided"){ | |
if (!alternative %in% c("two.sided", "less", "greater")) { | |
stop("alternative must be either \"two.sided\", \"less\", or \"greater\".") | |
} | |
if(alternative == "two.sided"){ | |
q0 <- qt(p/2, df)#*sign(v) | |
}else if(alternative == "less"){ | |
q0 <- qt(p, df) | |
}else if(alternative == "greater"){ | |
q0 <- qt(p, df, lower.tail = FALSE) | |
} | |
return(q0) | |
} | |
## | |
require(shiny) | |
ui <- fluidPage( | |
# Application title | |
titlePanel("Learn to p-value"), | |
sidebarLayout( | |
sidebarPanel( | |
sliderInput("alpha", | |
"alpha (false positive rate):", | |
min = 0.01, | |
max = 0.5, | |
value = 0.1) | |
), | |
mainPanel(plotOutput("distPlot")) | |
) | |
) | |
# Define server logic required to draw a histogram | |
server <- function(input, output) { | |
output$distPlot <- renderPlot({ | |
stat <- 1.2 | |
curve(p_stat_t(x, df=9), -4, 4, | |
xlab="t-stat",ylab="alpha") | |
legend("topright", | |
legend = c("positive","negative"), | |
col=c("firebrick","steelblue"), | |
pch=c(4,1), lwd=2, lty=0, | |
box.lwd = 0) | |
alpha <- input$alpha | |
q <- q_stat_t(alpha, df=9) | |
sig <- p_stat_t(stat, df=9)<=alpha | |
points(x=stat, y=0, | |
pch=ifelse(sig,4,1), | |
col=ifelse(sig,"firebrick","steelblue"),lwd=2) | |
abline(h=alpha,lty=2) | |
abline(v=q,lty=2) | |
abline(v=-q,lty=2) | |
}) | |
} | |
# Run the application | |
shinyApp(ui = ui, server = server) |
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