Shiny save as pdf or plot - r

Question

Here is my code I have 3 different questions, I searched evrywhere and tryied sooo many things, but it always gave me an error .
First how can I add a function to save my rglwidgetoutput to any file ?
And also mby save the log .
Secound: If I open the program it always opens a small "focus" window, can I somehow remove that ?
And last but not least, I have a Log , and I want to rename the data_planes so the logfile looks better :)
#######################################################################################
# Install librarys #
#######################################################################################
#install.packages("shiny")
#install.packages("rgl")
#install.packages("shinythemes")
#install.packages("devtools")
library(shiny)
library(rgl)
library(shinythemes)
library(devtools)
#install_github("rgl", "trestletech", "js-class")
#install_github("rgl", "trestletech", "js-class")
#######################################################################################
# User Interface #
#######################################################################################
ui <- fluidPage(theme = shinytheme("slate"),
headerPanel("Block Theory"),
sidebarPanel(
numericInput(inputId = "dd", label = "Dip direction:", value = "", width = "80%", min = 0, max = 360),
numericInput(inputId = "fa", label = "Fracture angle:", value = "", width = "80%", min = 0, max = 90),
numericInput(inputId = "position_x", label = "Position:", value = "", width = "40%"),
numericInput(inputId = "position_y", label = "", value = "", width = "40%"),
numericInput(inputId = "position_z", label = "", value = "", width = "40%"),
#selectInput("form", "Form:",
# c("Circle", "Square", "Ellipsoid")),
actionButton(inputId = "add", label = "Add a plane"),
actionButton(inputId = "plotbutton", label = "Update")
),
mainPanel(
tabsetPanel(
tabPanel("Plot", rglwidgetOutput(outputId = "plot")), # Output
tabPanel("Log", verbatimTextOutput(outputId = "log_planes")), # Log File
# OPTIONS :
tabPanel("Preferences",
checkboxInput("axes_lim", "axes min / max"),
conditionalPanel(
condition = "input.axes_lim == true",
splitLayout(
numericInput(inputId = "min_x", label = "x min:", value = "0", width = "90%"),
numericInput(inputId = "max_x", label = "x max:", value = "1000", width = "90%")),
splitLayout(
numericInput(inputId = "min_y", label = "y min:", value = "0", width = "90%"),
numericInput(inputId = "max_y", label = "y max:", value = "1000", width = "90%")),
splitLayout(
numericInput(inputId = "min_z", label = "z min:", value = "0", width = "90%"),
numericInput(inputId = "max_z", label = "z max:", value = "1000", width = "90%"))),
checkboxInput("axes", "Change axes ratio"),
conditionalPanel(
condition = "input.axes == true",
sliderInput("x_axis", "x axis:",min = 0, max = 1, value = 1, step = 0.1),
sliderInput("y_axis", "y axis:",min = 0, max = 1, value = 1, step = 0.1),
sliderInput("z_axis", "z axis:",min = 0, max = 1, value = 1, step = 0.1)),
checkboxInput("theme", "Change shiny theme"),
conditionalPanel(
condition = "input.theme == true",
shinythemes::themeSelector() )
))
) # /Main panel
) # /ui
#######################################################################################
# SERVER #
#######################################################################################
server <- function(input, output) {
data_planes <- data.frame()
makeReactiveBinding("data_planes")
observe({
input$add
isolate({
data_planes <<- rbind(data_planes, data.frame(input$dd, input$fa , input$position_x , input$position_y , input$position_z))
data_planes <<- na.omit(data_planes)
})
})
output$plot <- renderRglwidget({
input$plotbutton
isolate({
####################################################
# Open 3d plot:
x<-sample(input$min_x:input$max_x, 100)
y<-sample(input$min_y:input$max_y, 100)
z<-sample(input$min_z:input$max_z, 100)
plot3d(x, y, z, type = "n",xlim = c(min(x), max(x)), ylim = c(min(y), max(y)), zlim = c(min(z), max(z),expand = 1.03))
aspect3d(input$x_axis , input$y_axis , input$z_axis)
####################################################
i=1;
while (i <= nrow(data_planes)) {
phi <- data_planes[i,1] * pi / 180
theta <- data_planes[i,2] * pi / 180
Px <- data_planes[i,3]
Py <- data_planes[i,4]
Pz <- data_planes[i,5]
n <- c(sin(theta)*sin(phi), sin(theta) * cos(phi), cos(theta))
# n <- c(-sin(theta)*sin(phi), sin(theta) * cos(phi), -cos(theta))
P_n <- cos(phi)*sin(theta)*Px+(sin(phi)*sin(theta))*Py+cos(phi)*Pz # d = -P * n
# planes3d() plots equation: a*x + b*y + c*z + d = 0
a <- -sin(theta)*sin(phi)
b <- sin(theta) * cos(phi)
c <- -cos(theta)
d <- P_n
cols<-rgb(runif(5),runif(5),runif(5)) #random color genarator
i <- i + 1
planes3d(a, b, c , d , col = cols, alpha = 0.6)
}
rglwidget() # opens the plot inside of main panel
})
})
output$log_planes <- renderPrint(data_planes)
}
#######################################################################################
shinyApp(ui = ui, server = server
)

Answer 1

It's not easy to save rgl output to a PDF. You can save it to an html page using code like this:
htmlwidgets::saveWidget(rglwidget(), file = "rgl.html")
This will fail if it can't find Pandoc; you can use
htmlwidgets::saveWidget(rglwidget(), file = "rgl.html", selfcontained = FALSE)
without Pandoc, but it will create both the HTML file and a subdir of supporting files.
The little window you're seeing is probably the rgl output window. If you never want to see that, run
options(rgl.useNULL = TRUE)
before loading the rgl package. This is a good idea on a Shiny app, because they may be running on a server somewhere and you don't want to try to open an rgl window there.
Sorry, I don't really understand your third question.