shiny sliderInput range minimum and maximum values - slider

Question

I need to adjust a histogram output in shiny with a range values:
(where m is an arbitrary matrix)
#ui.R
sliderInput(inputId="adjust", label="Choose adjacency threshold", value=c(0.001, 0.9), min=0.0001, max=1),
plotOutput("hist")
#server.R
df<-reactive({
idx = m > min(input$adjust) & m < max(input$adjust)
data.frame(
id = row(m)[idx],
value = m[idx])
})
output$hist<-renderPlot({hist(df()$values)})
However this doesn't seem to affect the histogram- it re-renders when I toggle the slider but its the same each time.... it takes a very long time and it just seems to take all of the values in into account?
Does anyone know how to make this work?
when I try to print the slider's min/max value- nothing comes to the page:
#ui.R
verbatimTextOutput("x")
#server
output$x<-renderPrint({min(input$adjust)})
Hence I might be approaching this the completely wrong way... does anyone know how to do this?
FULL EXAMPLE
library(shiny)
runApp(list(ui = fluidPage(sliderInput(inputId="adjust", label="Choose adjacency threshold", value=c(0.001, 0.9), min=0.0001, max=1),
plotOutput("hist")
server=function(input, output){
adjacentmat<-reactive({adjacency(dat)})
data<-reactive({
adj_mat<-adjacentmat()
adj_mat[adj_mat < input$adjust] <- 0
m<-adj_mat
idx = m > min(input$adjust) & m < max(input$adjust)
data.frame(
source = row(m)[idx],
target = col(m)[idx],
corr = m[idx])
})
output$hist<-renderPlot({hist(data()$corr)})
}
)
generate the dat variable with the following code:
library('dplyr')
set.seed(1)
# generate a couple clusters
nodes_per_cluster <- 30
n <- 10
nvals <- nodes_per_cluster * n
# cluster 1 (increasing)
cluster1 <- matrix(rep((1:n)/4, nodes_per_cluster) +
rnorm(nvals, sd=1),
nrow=nodes_per_cluster, byrow=TRUE)
# cluster 2 (decreasing)
cluster2 <- matrix(rep((n:1)/4, nodes_per_cluster) +
rnorm(nvals, sd=1),
nrow=nodes_per_cluster, byrow=TRUE)
# noise cluster
noise <- matrix(sample(1:2, nvals, replace=TRUE) +
rnorm(nvals, sd=1.5),
nrow=nodes_per_cluster, byrow=TRUE)
dat <- rbind(cluster1, cluster2, noise)
colnames(dat) <- paste0('n', 1:n)
rownames(dat) <- c(paste0('cluster1_', 1:nodes_per_cluster),
paste0('cluster2_', 1:nodes_per_cluster),
paste0('noise_', 1:nodes_per_cluster))

Answer 1

This works for me:
library(shiny)
runApp(list(ui = fluidPage(
mainPanel(sliderInput("test", "Select values", value= c(.001,.9), min= 0.0001, max= 1)),
verbatimTextOutput("test2")
),
server = function(input, output, session) {
output$test2 <- renderPrint(min(input$test))
}))
I'm guessing your problem is somewhere in the code you haven't shown us. Can you give the code for the entire running example of your problem?