How do I update renderPlotly to display some of the rows in a DataTable

I am refocusing this question because I have fixed most the problems except one. I have a Shiny App that uses serial data from a COM to populate reactiveValues. I need to build a DataTable/Dataframe from this reactive Value. X = Time, Y = dBm(ry). I do not know how to give a minimal reproducible model of this app. I know that I can read data from the COM and convert it to dBm without issue.
How do I get plotly to update with a set number of rows in the Datatable ? Is that possible for now I am taking the plotly points from the reactivevalues rv$m, but sometimes this produces NA which I don't want in the plot.
This is a a screen shot of what my App.

My code which is rather lengthy scroll down to the bottom as that is where I am having trouble and is as follows:


#install.packages("DT")
library(shiny)
library(serial)

library(broom)
#1  library(tidyverse)
library(DT)
library(zoo)
library(reshape2)
#install.packages("broman")
library(broman)
library(remotes)
#install.packages("gtools")
library(binaryLogic)
library(gtools)
#install.packages("R.utils")
require(R.utils)
#install.packages("BMS")
library("BMS")
#remotes::install_github("skgrange/threadr")
library(threadr)
library(plotly)
options(digits=4)
#options(shiny.sanitize.errors = TRUE)
LUT <-read.delim("E:/Signalfoxdata/ActiveSF/LUT_for_log_files_2.csv", sep=",", header=TRUE)
conn <-(serialConnection(name="Prolific USB-to-Serial Comm Port(Com3)",
                         port="COM3",
                         mode="9600,n,8,1",
                         newline=0,
                         translation="lf",
                         handshake = 'xonxoff')
)

open(conn)
captureRxData <-function(x){

    x <-gsub("[^0-9$]","", x)
    x_cleaned <- read.fwf(textConnection(x), widths=rep(2, nchar(x)[1]), colClasses = 'character', header=FALSE)
    x_temp <- x_cleaned

    x_temp[] <-lapply(x_cleaned,function(x) LUT$Value[match(x, LUT$Hex)])
   ifelse(ncol(x_temp)>59,
          x_temp <-x_temp%>%
        select(V1:V60),
        x_temp <-x_temp%>%
          select(V1:ncol(x_temp)))

      x_hex <- data.frame(sapply(split.default(x_temp, ceiling(seq_along(x_temp)/4)),
                               function(y) do.call(paste0, y)))


    colnames(x_hex)<-NULL
    x_dec<-sapply(x_hex, hex2dec)
    dBm_out <-as.vector( (-69.0 +0.0149*(x_dec)))
    dBm_mean <-mean(dBm_out)
    if(length(dBm_mean)>0){
    return(round(dBm_mean,4))
    }else{
      return(dBm_mean ="na")
    }
    }



this_table=data.frame(time=0,dBm=0)

ui <- fluidPage(

    titlePanel("SignalFox Data Stream"),
    fluidRow(
        column(4,
               hr(),
             textInput("comm", "Name of Comm", value="Com3"),
              textOutput("serial"),


              #actionButton("goButton", "Go!", class = "btn-success"),
               hr()
            ),
        column(4,
               tableOutput("Table"),
               hr())
            ),
    mainPanel(
      plotlyOutput("myPlot"),
    na.omit(  DTOutput("shiny_table"))
    ) ,

)


server <- function(input, output, session) {

  comm <-reactive(
    as.character(input$comm)
  )
  conn <-(serialConnection(name="Prolific USB-to-Serial Comm Port(Com3)",
                          port="COM3",
                          mode="9600,n,8,1",
                          newline=0,
                          translation="lf",
                          handshake = 'xonxoff')
)

  error_clock<- reactive({
    error_clock <-proc.time()
    error_clock
    })

  serialRead <-reactive({

    invalidateLater(750, session)
  tryCatch(
      expr = {
        read.serialConnection(conn)

      },
      error = function(e){
        message('Caught an error!')

        flush(conn)
        #read.serialConnection(conn)
        invalidateLater(1000, session)
        read.serialConnection(conn)
       # proc.time()-error_clock


      },
      warning = function(w){
        message('Caught an warning!')
        flush(conn)
        invalidateLater(750, session)
        read.serialConnection(conn)
        open(conn)

      }
    )

  })
  time1 <-reactive({
    ptm <-Sys.time()
    for(i in 1:15)
      if(!is.na(serialRead())){
    ptm}else{
      ptm<-NULL}
     ptm
     format(.POSIXct(ptm), "%H:%M:%OS3")
     #as.numeric(format(Sys.time(), "%OS3"))
    })

 # output$serial <- renderText({
  #     serial <-if(str_detect(serialRead(),"rxDone", negate=TRUE)){
   #                    print("Retrieving Power")}else{
    #                  na.omit( captureRxData(serialRead()))
  #                     }
   # })



 dBm1<-reactive({

   if(str_detect(serialRead(),"xdata:", negate=FALSE)){
                 mean(na.omit( captureRxData(serialRead())))}else{
                 serialRead<-"na"}

   })

   rv <-na.omit(reactiveValues())



   observeEvent(dBm1(),{
     if(!is.numeric(dBm1())){
       return(NULL)}else{
     rv$m<- rbind(m=data.frame(x=time1(),y=dBm1()))
     }
     })


 output$Table <- renderTable(cbind(time=time1(), dBm=dBm1()))


 this_table <- reactiveVal(this_table)%>%
   na.omit()

 observeEvent(rv$m, {
  if(is.na(dBm1())|is.na(time1())){
    t= rbind(data.frame(time = NULL,
                        dBm= NULL), this_table())   }else{
    t= rbind(data.frame(time = time1(),
                        dBm= na.omit(dBm1())), this_table())
                        }
   this_table(na.omit(t))

 })

 output$shiny_table <- renderDT({
   datatable(na.omit(this_table()), options = list(dom = 't'))
 })


 output$myPlot <- renderPlotly({
  plot_ly() %>%  add_markers(data=na.omit(rv$m),x=~time1(),y=~dBm1()  )

})


}

shinyApp(ui,server)


Thanks In advance,

use some form of head, or tail... it works on dataframes as well as vectors.

library(shiny)
library(tidyverse)

window_length <- 20

ui <- fluidPage(
  verbatimTextOutput("see_length_of_val_list"),
  plotOutput("plot_last_n")
)

server <- function(input, output, session) {
  val_list <- reactiveVal(NULL)
  
  observe({
    invalidateLater(200)
    isolate(val_list(append(sample.int(3,1) -2,val_list(),after=0)))
  })
  
  output$see_length_of_val_list <- renderText({
    length(val_list())
  })
  
  output$plot_last_n <- renderPlot({
    vlist <- tail(req(val_list())
                  ,n=window_length)
    
    ggplot(data=enframe(vlist),
           aes(x=name,y=value)) + geom_point() + geom_line()+
      lims(x=c(1,window_length),
           y=c(-2,2))
  })
}

shinyApp(ui, server)