Open lecy opened 4 years ago
I do not know what happened, but I cannot even get the results of Lab-01 to return anything in R Studio i run something as simple as
+ create_game <- function( )
+ {
+ a.game <- sample( x=c("goat","goat","car"), size=3, replace=F )
+ return( a.game )
+ }
and nothing comes up. no error, nothing. This has put me so far behind that I am close unenrolling.
Try this:
create_game <- function( )
{
a.game <- sample( x=c("goat","goat","car"), size=3, replace=F )
return( a.game )
}
create_game()
The first lines create the function, but you need to call the function to create a new game.
Please let me know if that works. Happy to jump on a zoom call as well and walk through this.
I had to send a } to end some previously unfinished function, i think. That ended up letting me run your code. I am now trying to run this:
> play_game <- function()
+ {
+ cash <- 10
+ count <- 0 # set to zero
+ {while( cash > 0 )
+ {
+ cash <- cash +
+ sample( c(-1,0,1), size=1 )
+ count <- count + 1
+ }
+ return( count )
+ }
+ }
> results <- numeric(10000)
> for( i in 1:10000 )
+ { results[i] <- play_game() }
It never returns. Is it just processing forever?
I added some notes on run-time on Yellowdig. This topic is beyond what you need for the labs in this class, but I wanted to introduce it since it is so central to data science (and also super interesting).
Here is how I was able to get the code to run - by adding a break statement in the while loop for those few cases that end up with REEEEEAAAALLLLY long runs. If you let your computer keep running for a couple of days it might get there. But this is a feasible solution.
The average (MEDIAN) time until bankruptcy is about 320 plays.
play_game <- function()
{
cash <- 10
count <- 0 # set to zero
while( cash > 0 )
{
cash <- cash +
sample( c(-1,0,1), size=1 )
count <- count + 1
# break from while loop
# if winning streak too long
if( count > 10000 ){ break }
}
return( count )
}
start_time <- Sys.time()
######################
### ###
### SIM CODE ###
### ###
######################
results <- numeric(10000)
for( i in 1:10000 )
{
results[i] <- play_game()
}
######################
end_time <- Sys.time()
end_time - start_time
summary( results )
It never returns. Is it just processing forever?
Once it's done running, do you have a returns vector with values?
ls()
summary( results )
It never returns the > prompt
Best, TK
From: Jesse Lecy notifications@github.com Sent: Monday, January 27, 2020 4:12:40 PM To: DS4PS/cpp-527-spr-2020 cpp-527-spr-2020@noreply.github.com Cc: TVK36692 tkemper@asu.edu; Comment comment@noreply.github.com Subject: Re: [DS4PS/cpp-527-spr-2020] Request a Code-Through (#1)
It never returns. Is it just processing forever?
Once it's done running, do you have a returns vector with values?
ls() summary( results )
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That is weird. Here is what I get:
It takes a little over a minute for it to run on my computer when the break is included.
> play_game <- function()
+ {
+ cash <- 10
+ count <- 0 # set to zero
+
+ while( cash > 0 )
+ {
+ cash <- cash +
+ sample( c(-1,0,1), size=1 )
+ count <- count + 1
+
+ # break from while loop
+ # if winning streak too long
+ if( count > 10000 ){ break }
+ }
+ return( count )
+ }
>
>
>
>
> start_time <- Sys.time()
>
> ######################
> ### ###
> ### SIM CODE ###
> ### ###
> ######################
>
> results <- numeric(10000)
> for( i in 1:10000 )
+ {
+ results[i] <- play_game()
+ }
>
> ######################
>
> end_time <- Sys.time()
> end_time - start_time
Time difference of 1.286855 mins
>
> summary( results )
Min. 1st Qu. Median Mean 3rd Qu. Max.
12 112 324 1808 1424 10001
>
I was able to get this to run in 1.45 minutes. I will need to read up on the break. Thank you!
Best, TK [star2color]
From: Jesse Lecy notifications@github.com Reply-To: DS4PS/cpp-527-spr-2020 reply@reply.github.com Date: Monday, January 27, 2020 at 6:46 PM To: DS4PS/cpp-527-spr-2020 cpp-527-spr-2020@noreply.github.com Cc: Tod Kemper tkemper@asu.edu, Comment comment@noreply.github.com Subject: Re: [DS4PS/cpp-527-spr-2020] Request a Code-Through (#1)
That is weird. Here is what I get:
It takes a little over a minute for it to run on my computer when the break is included.
play_game <- function()
{
cash <- 10
count <- 0 # set to zero
while( cash > 0 )
{
cash <- cash +
sample( c(-1,0,1), size=1 )
count <- count + 1
if( count > 10000 ){ break }
}
return( count )
}
start_time <- Sys.time()
######################
SIM CODE
######################
results <- numeric(10000)
for( i in 1:10000 )
{
results[i] <- play_game()
}
######################
end_time <- Sys.time()
end_time - start_time
Time difference of 1.286855 mins
summary( results )
Min. 1st Qu. Median Mean 3rd Qu. Max.
12 112 324 1808 1424 10001
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