r - Plotting the overlay using an exponential smoothing of a time-series using `lines()` -


/ * I do not want to use R in the HoltWinters function, and I have used Holtwinters function But I really do not want to apply or copy the entire R code. Mainly I want to write a code, as a result we get the answer given by Holtwinters * *

I have the following code so far, but I'm not sure which function I should use 1 An exponential lubricating data (nhtemp) required for New Hampshire from 9 to 12, 1971 and the lines () 

  Plot overlay .ts (nhtemp) lines (nhtemp, col = "red") # plot.ts (nhtemp) to the same plot Gives it in the form !!   
 I'm not sure how to overlay an exponential solubility of PS by using  nhtemp  lines ()  I do not want to try an  forecast  or  statistics  such as an external package, but I was trying the following for some experiments: I followed the instructions given in the following picture Tried but I found this error: Enter image details here  
  & gt; Line (nhtemp $ fitted) Error in # lines (nhtemp $ fitted): Error in evaluating argument 'X' in choosing a method for function 'line': $ nhtemp $ fits error $: $ operator nuclear vector Is invalid for & gt; HoltWinters (nhtemp) # Error in the error (ts (x [1L: wind], start = start (x), frequency = f), seasonal: # time series does not have 2 or less duration   
 
 
 Since your data set is not seasonal ( frequency = 1 ), you should be fit Should specify  gamma = F , non-seasonal holt-winters. In the  lines (nhtemp $ Fitted)  (in your code), in any sense, as you do not have the fair value in the original data.  
 Therefore, to reproduce the example in the book, you have to move forward (which is basically just an exponential lubricant)  
  plot (nhtemp) line (Holtwinters (NHTMPP, Gamma = F) $ Feet [, 2], col = "red")   
  Enter image details here

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