[R] R Code Execution taking forever

[Rui Barradas]

Hello,

I'm having trouble running the code, where does function dice come from?
CRAN package dice only has two functions,

getEventProb
getSumProbs

not a function dice.

Can you post a link to where the package/function can be found?

Rui Barradas


Às 02:00 de 24/04/2022, Paul Bernal escreveu:
> Dear R friends,
> 
> Hope you are doing great. The reason why I am contacting you all, is
> because the code I am sharing with you takes forever. It started running at
> 2:00 AM today, and it's 7:52 PM and is still running (see code at the end
> of this mail).
> 
> I am using Rx64  4.1.2, and the code is being executed in RStudio. The
> RStudio version I am currently using is Version 2022.02.0 Build 443
> "Prairie Trillium" Release (9f796939, 2022-02-16) for Windows.
> 
> My PC specs:
> Processor: Intel(R) Core(TM) i5-10310U CPU @ 1.70 GHz
> Installed RAM: 16.0 GB (15.6 GB usable)
> System type: 64-bit operating system, x64-based processor
> Local Disc(C:) Free Space: 274 GB
> 
> I am wondering if there is/are a set of system variable(s) or something I
> could do to improve the performance of the program.
> 
> It is really odd this code has taken this much (and it is still running).
> 
> Any help and/or guidance would be greatly appreciated.
> 
> Best regards,
> Paul
> 
> 
> 
> 
> #performing 1,000,000 simulations 10 times
> num_trials_6 = 1000000
> dice_rolls_6 = num_trials_6*12
> num_dice_6 = 1
> dice_sides_6 = 6
> 
> prob_frame_6 <- data.frame(matrix(ncol = 10, nrow = 1))
> 
> k <- 0
> while(k < 10){
>    dice_simul_6 = data.frame(dice(rolls = dice_rolls_6, ndice = num_dice_6,
> sides = dice_sides_6, plot.it = FALSE))
> 
>    #constructing matrix containing results of all dice rolls by month
>    prob_matrix_6 <- data.frame(matrix(dice_simul_6[,1], ncol = 12, byrow =
> TRUE))
> 
>    #naming each column by it's corresponding month name
>    colnames(prob_matrix_6) <-
> c("Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec")
> 
> 
>    #assigning each person´s name depending on the number showed in the dice
> once rolled
>    for (i in 1:nrow(prob_matrix_6)){
>      for (j in 1:ncol(prob_matrix_6)){
>        if (prob_matrix_6[i,j] == 1){
>          prob_matrix_6[i,j] = "Alice"
>        }
>        if (prob_matrix_6[i,j] == 2){
>          prob_matrix_6[i,j] = "Bob"
>        }
>        if (prob_matrix_6[i,j] == 3){
>          prob_matrix_6[i,j] = "Charlie"
>        }
>        if (prob_matrix_6[i,j] == 4){
>          prob_matrix_6[i,j] = "Don"
>        }
>        if (prob_matrix_6[i,j] == 5){
>          prob_matrix_6[i,j] = "Ellen"
>        }
>        if (prob_matrix_6[i,j] == 6){
>          prob_matrix_6[i,j] = "Fred"
>        }
> 
>      }
>    }
> 
>    #calculating column  which will have a 1 if trial was successful and a 0
> otherwise
>    prob_matrix_6['success'] <- for (i in 1:nrow(prob_matrix_6)){
>      if (("Alice" %in% prob_matrix_6[i,]) & ("Bob" %in% prob_matrix_6[i,]) &
> ("Charlie" %in% prob_matrix_6[i,]) & ("Don" %in% prob_matrix_6[i,]) &
> ("Ellen" %in% prob_matrix_6[i,]) & ("Fred" %in% prob_matrix_6[i,])){
>        prob_matrix_6[i,13] = 1
>      }else{
>        prob_matrix_6[i,13] = 0
>      }
>    }
> 
>    #relabeling column v13 so that its new name is success
>    colnames(prob_matrix_6)[13] <- "success"
> 
> 
>    #calculating probability of success
> 
>    p6 = sum(prob_matrix_6$success)/nrow(prob_matrix_6)
>    prob_frame_6 <- cbind(prob_frame_6, p6)
> 
>    k = k + 1
> 
> }
> 
> prob_frame_6 <- prob_frame_6[11:20]
> colnames(prob_frame_6) <-
> c("p1","p2","p3","p4","p5","p6","p7","p8","p9","p10")
> average_prob_frame_6 <- rowMeans(prob_frame_6)
> trial_1000000_10_frame <- cbind(prob_frame_6, average_prob_frame_6)
> final_frame_6 <- trial_1000000_10_frame
> colnames(final_frame_6) <-
> c("p1","p2","p3","p4","p5","p6","p7","p8","p9","p10", "avg_prob_frame_5")
> 
> write.csv(final_frame_6, "OneMillion_Trials_Ten_Times_Results.csv")
> print(final_frame_6)
> print(paste("The average probability of success when doing 1,000,000 trials
> 10 times is:", average_prob_frame_6))
> 
> 	[[alternative HTML version deleted]]
> 
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