Re: [R] troubles with a for loop

2011-09-19 Thread R. Michael Weylandt
Alas, speaking before I check the optional argumentsc'est la vie.

MW

On Sun, Sep 18, 2011 at 3:00 PM, Jorge I Velez jorgeivanve...@gmail.comwrote:

 Why wouldn't?  It does for me ;-)

 curve(sin(x), 0, 10, col = 4, lwd = 2, las = 1)
 curve(cos(x), 0, 10, add = TRUE)

 Best,
 Jorge


 On Sun, Sep 18, 2011 at 2:07 PM, R. Michael Weylandt  wrote:

  Furthermore, if you want to add lines to a plot, I'd advise against the
 curve() function, rather use lines() to add lines (or points() for, well,
 points) on a plot.

 E.g.,

 x - seq(0,10,by=0.025)
 y - sin(x)
 y2 - cos(x)

 plot(x,y,type=l,col=red4,lwd=3)
 lines(x,y2)

 curve() wouldn't work for this

 Michael

 On Sun, Sep 18, 2011 at 1:23 PM, Patrick Burns wrote:


  Sarah has told you how to get from where
  you are to where you want to be.
 
  However, it is easier to start somewhere
  else.  The more R way to do what you are
  doing is to use a list to put the results
  of your regressions into.  It is then very
  easy to use that list, and it is easier to
  keep track of.
 
  The two documents mentioned in my signature
  may help you get up and running in R.  Since
  you are coming from Stata, you should also
  look at http://r4stats.com
 
 
  On 18/09/2011 17:05, Francesco Sarracino wrote:
 
  Dear all,
 
  I am a stata user and I am moving my first steps in R.
  I am dealing with a silly issue concerning looping over variables. I
 read
  previous posts on similar topics in the R help archive, but I did not
 find
  a
  solution.
  Here is my case:
 
  I run a simple bivariate linear regression saving the output in objects
  called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3
 
  pd.memb.0- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
  pd.memb.1- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb=
  quantile(M.fs.memb, .25)  tag2 == 1))
  pd.memb.2- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
  quantile(M.fs.memb, .25)  M.fs.memb= quantile(M.fs.memb, .75)  tag2
 ==
  1))
  pd.memb.3- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
  quantile(M.fs.memb, .75)  tag2 == 1))
 
  Subsequently, I wish to plot my data superimposing a different line for
  each
  regression model. Here I am trying to apply my loop. Looking at the
 info I
  found around, the following code sound to me as correct, but I am
 wrong.
 
  plot(M.fs.memb , E.fs.memb)
  for(i =  1:3){
curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100,
 col
  =
  red)
  }
 
  The plot is plotted, but the curves are not printed and  I get the
  following
  error message:
 
 
  Error in coef(pd.memb.i) :
error in evaluating the argument 'object' in selecting a method for
  function 'coef'  }Error: unexpected '}' in }
 
 
  What am I doing wrong?
  Thanks a lot for your help,
  f.
 
 [[alternative HTML version deleted]]
 
  __**
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 https://stat.ethz.ch/mailman/listinfo/r-help

  PLEASE do read the posting guide http://www.R-project.org/**
  posting-guide.html http://www.R-project.org/posting-guide.html

  and provide commented, minimal, self-contained, reproducible code.
 
 
  --
  Patrick Burns
  pbu...@pburns.seanet.com
  twitter: @portfolioprobe
  http://www.portfolioprobe.com/**blog 
 http://www.portfolioprobe.com/blog

  http://www.burns-stat.com
  (home of 'Some hints for the R beginner'
  and 'The R Inferno')
 
 
  __**
  R-help@r-project.org mailing list
  https://stat.ethz.ch/mailman/**listinfo/r-help
 https://stat.ethz.ch/mailman/listinfo/r-help

  PLEASE do read the posting guide http://www.R-project.org/**
  posting-guide.html http://www.R-project.org/posting-guide.html

  and provide commented, minimal, self-contained, reproducible code.
 

[[alternative HTML version deleted]]

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 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.




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[R] troubles with a for loop

2011-09-18 Thread Francesco Sarracino
Dear all,

I am a stata user and I am moving my first steps in R.
I am dealing with a silly issue concerning looping over variables. I read
previous posts on similar topics in the R help archive, but I did not find a
solution.
Here is my case:

I run a simple bivariate linear regression saving the output in objects
called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3

pd.memb.0 - lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
pd.memb.1 - lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb =
quantile(M.fs.memb, .25)  tag2 == 1))
pd.memb.2 - lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb 
quantile(M.fs.memb, .25)  M.fs.memb = quantile(M.fs.memb, .75)  tag2 ==
1))
pd.memb.3 - lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb 
quantile(M.fs.memb, .75)  tag2 == 1))

Subsequently, I wish to plot my data superimposing a different line for each
regression model. Here I am trying to apply my loop. Looking at the info I
found around, the following code sound to me as correct, but I am wrong.

plot(M.fs.memb , E.fs.memb)
for(i =  1:3){
  curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col =
red)
}

The plot is plotted, but the curves are not printed and  I get the following
error message:


Error in coef(pd.memb.i) :
  error in evaluating the argument 'object' in selecting a method for
function 'coef' }Error: unexpected '}' in }


What am I doing wrong?
Thanks a lot for your help,
f.

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list
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and provide commented, minimal, self-contained, reproducible code.


Re: [R] troubles with a for loop

2011-09-18 Thread Sarah Goslee
You don't have a variable named pd.memb.i

Instead, you need something like:
get(paste(pd.memb., i, sep=))

The error message you're getting, though, is because your
loop syntax is wrong:
for(i in 1:3) {
 do something
}

Sarah

On Sun, Sep 18, 2011 at 12:05 PM, Francesco Sarracino
f.sarrac...@gmail.com wrote:
 Dear all,

 I am a stata user and I am moving my first steps in R.
 I am dealing with a silly issue concerning looping over variables. I read
 previous posts on similar topics in the R help archive, but I did not find a
 solution.
 Here is my case:

 I run a simple bivariate linear regression saving the output in objects
 called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3

 pd.memb.0 - lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
 pd.memb.1 - lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb =
 quantile(M.fs.memb, .25)  tag2 == 1))
 pd.memb.2 - lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb 
 quantile(M.fs.memb, .25)  M.fs.memb = quantile(M.fs.memb, .75)  tag2 ==
 1))
 pd.memb.3 - lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb 
 quantile(M.fs.memb, .75)  tag2 == 1))

 Subsequently, I wish to plot my data superimposing a different line for each
 regression model. Here I am trying to apply my loop. Looking at the info I
 found around, the following code sound to me as correct, but I am wrong.

 plot(M.fs.memb , E.fs.memb)
 for(i =  1:3){
  curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col =
 red)
 }

 The plot is plotted, but the curves are not printed and  I get the following
 error message:


 Error in coef(pd.memb.i) :
  error in evaluating the argument 'object' in selecting a method for
 function 'coef' }Error: unexpected '}' in }


 What am I doing wrong?
 Thanks a lot for your help,
 f.

        [[alternative HTML version deleted]]

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.




-- 
Sarah Goslee
http://www.functionaldiversity.org

__
R-help@r-project.org mailing list
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and provide commented, minimal, self-contained, reproducible code.


Re: [R] troubles with a for loop

2011-09-18 Thread Patrick Burns

Sarah has told you how to get from where
you are to where you want to be.

However, it is easier to start somewhere
else.  The more R way to do what you are
doing is to use a list to put the results
of your regressions into.  It is then very
easy to use that list, and it is easier to
keep track of.

The two documents mentioned in my signature
may help you get up and running in R.  Since
you are coming from Stata, you should also
look at http://r4stats.com

On 18/09/2011 17:05, Francesco Sarracino wrote:

Dear all,

I am a stata user and I am moving my first steps in R.
I am dealing with a silly issue concerning looping over variables. I read
previous posts on similar topics in the R help archive, but I did not find a
solution.
Here is my case:

I run a simple bivariate linear regression saving the output in objects
called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3

pd.memb.0- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
pd.memb.1- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb=
quantile(M.fs.memb, .25)  tag2 == 1))
pd.memb.2- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
quantile(M.fs.memb, .25)  M.fs.memb= quantile(M.fs.memb, .75)  tag2 ==
1))
pd.memb.3- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
quantile(M.fs.memb, .75)  tag2 == 1))

Subsequently, I wish to plot my data superimposing a different line for each
regression model. Here I am trying to apply my loop. Looking at the info I
found around, the following code sound to me as correct, but I am wrong.

plot(M.fs.memb , E.fs.memb)
for(i =  1:3){
   curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col =
red)
}

The plot is plotted, but the curves are not printed and  I get the following
error message:


Error in coef(pd.memb.i) :
   error in evaluating the argument 'object' in selecting a method for
function 'coef'  }Error: unexpected '}' in }


What am I doing wrong?
Thanks a lot for your help,
f.

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.



--
Patrick Burns
pbu...@pburns.seanet.com
twitter: @portfolioprobe
http://www.portfolioprobe.com/blog
http://www.burns-stat.com
(home of 'Some hints for the R beginner'
and 'The R Inferno')

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] troubles with a for loop

2011-09-18 Thread R. Michael Weylandt
Furthermore, if you want to add lines to a plot, I'd advise against the
curve() function, rather use lines() to add lines (or points() for, well,
points) on a plot.

E.g.,

x - seq(0,10,by=0.025)
y - sin(x)
y2 - cos(x)

plot(x,y,type=l,col=red4,lwd=3)
lines(x,y2)

curve() wouldn't work for this

Michael

On Sun, Sep 18, 2011 at 1:23 PM, Patrick Burns pbu...@pburns.seanet.comwrote:

 Sarah has told you how to get from where
 you are to where you want to be.

 However, it is easier to start somewhere
 else.  The more R way to do what you are
 doing is to use a list to put the results
 of your regressions into.  It is then very
 easy to use that list, and it is easier to
 keep track of.

 The two documents mentioned in my signature
 may help you get up and running in R.  Since
 you are coming from Stata, you should also
 look at http://r4stats.com


 On 18/09/2011 17:05, Francesco Sarracino wrote:

 Dear all,

 I am a stata user and I am moving my first steps in R.
 I am dealing with a silly issue concerning looping over variables. I read
 previous posts on similar topics in the R help archive, but I did not find
 a
 solution.
 Here is my case:

 I run a simple bivariate linear regression saving the output in objects
 called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3

 pd.memb.0- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
 pd.memb.1- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb=
 quantile(M.fs.memb, .25)  tag2 == 1))
 pd.memb.2- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
 quantile(M.fs.memb, .25)  M.fs.memb= quantile(M.fs.memb, .75)  tag2 ==
 1))
 pd.memb.3- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
 quantile(M.fs.memb, .75)  tag2 == 1))

 Subsequently, I wish to plot my data superimposing a different line for
 each
 regression model. Here I am trying to apply my loop. Looking at the info I
 found around, the following code sound to me as correct, but I am wrong.

 plot(M.fs.memb , E.fs.memb)
 for(i =  1:3){
   curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100, col
 =
 red)
 }

 The plot is plotted, but the curves are not printed and  I get the
 following
 error message:


 Error in coef(pd.memb.i) :
   error in evaluating the argument 'object' in selecting a method for
 function 'coef'  }Error: unexpected '}' in }


 What am I doing wrong?
 Thanks a lot for your help,
 f.

[[alternative HTML version deleted]]

 __**
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/**listinfo/r-helphttps://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/**
 posting-guide.html http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


 --
 Patrick Burns
 pbu...@pburns.seanet.com
 twitter: @portfolioprobe
 http://www.portfolioprobe.com/**blog http://www.portfolioprobe.com/blog
 http://www.burns-stat.com
 (home of 'Some hints for the R beginner'
 and 'The R Inferno')


 __**
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/**listinfo/r-helphttps://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide http://www.R-project.org/**
 posting-guide.html http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] troubles with a for loop

2011-09-18 Thread Jorge I Velez
Why wouldn't?  It does for me ;-)

curve(sin(x), 0, 10, col = 4, lwd = 2, las = 1)
curve(cos(x), 0, 10, add = TRUE)

Best,
Jorge


On Sun, Sep 18, 2011 at 2:07 PM, R. Michael Weylandt  wrote:

 Furthermore, if you want to add lines to a plot, I'd advise against the
 curve() function, rather use lines() to add lines (or points() for, well,
 points) on a plot.

 E.g.,

 x - seq(0,10,by=0.025)
 y - sin(x)
 y2 - cos(x)

 plot(x,y,type=l,col=red4,lwd=3)
 lines(x,y2)

 curve() wouldn't work for this

 Michael

 On Sun, Sep 18, 2011 at 1:23 PM, Patrick Burns wrote:

  Sarah has told you how to get from where
  you are to where you want to be.
 
  However, it is easier to start somewhere
  else.  The more R way to do what you are
  doing is to use a list to put the results
  of your regressions into.  It is then very
  easy to use that list, and it is easier to
  keep track of.
 
  The two documents mentioned in my signature
  may help you get up and running in R.  Since
  you are coming from Stata, you should also
  look at http://r4stats.com
 
 
  On 18/09/2011 17:05, Francesco Sarracino wrote:
 
  Dear all,
 
  I am a stata user and I am moving my first steps in R.
  I am dealing with a silly issue concerning looping over variables. I
 read
  previous posts on similar topics in the R help archive, but I did not
 find
  a
  solution.
  Here is my case:
 
  I run a simple bivariate linear regression saving the output in objects
  called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3
 
  pd.memb.0- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
  pd.memb.1- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb=
  quantile(M.fs.memb, .25)  tag2 == 1))
  pd.memb.2- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
  quantile(M.fs.memb, .25)  M.fs.memb= quantile(M.fs.memb, .75)  tag2
 ==
  1))
  pd.memb.3- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
  quantile(M.fs.memb, .75)  tag2 == 1))
 
  Subsequently, I wish to plot my data superimposing a different line for
  each
  regression model. Here I am trying to apply my loop. Looking at the info
 I
  found around, the following code sound to me as correct, but I am wrong.
 
  plot(M.fs.memb , E.fs.memb)
  for(i =  1:3){
curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100,
 col
  =
  red)
  }
 
  The plot is plotted, but the curves are not printed and  I get the
  following
  error message:
 
 
  Error in coef(pd.memb.i) :
error in evaluating the argument 'object' in selecting a method for
  function 'coef'  }Error: unexpected '}' in }
 
 
  What am I doing wrong?
  Thanks a lot for your help,
  f.
 
 [[alternative HTML version deleted]]
 
  __**
  R-help@r-project.org mailing list
  https://stat.ethz.ch/mailman/**listinfo/r-help
 https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide http://www.R-project.org/**
  posting-guide.html http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
 
 
  --
  Patrick Burns
  pbu...@pburns.seanet.com
  twitter: @portfolioprobe
  http://www.portfolioprobe.com/**blog http://www.portfolioprobe.com/blog
 
  http://www.burns-stat.com
  (home of 'Some hints for the R beginner'
  and 'The R Inferno')
 
 
  __**
  R-help@r-project.org mailing list
  https://stat.ethz.ch/mailman/**listinfo/r-help
 https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide http://www.R-project.org/**
  posting-guide.html http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
 

[[alternative HTML version deleted]]

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.


[[alternative HTML version deleted]]

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and provide commented, minimal, self-contained, reproducible code.


Re: [R] troubles with a for loop

2011-09-18 Thread Francesco Sarracino
Wow,
thanks a lot for your quick replies and useful comments.
Indeed, Sarah's advice does the job perfectly.
I wish to thank you all also for your advices on how to shift from a Stata
mindset to  an R one (which is currently my main obstacle).
Best,
f.

On 18 September 2011 20:07, R. Michael Weylandt
michael.weyla...@gmail.comwrote:

 Furthermore, if you want to add lines to a plot, I'd advise against the
 curve() function, rather use lines() to add lines (or points() for, well,
 points) on a plot.

 E.g.,

 x - seq(0,10,by=0.025)
 y - sin(x)
 y2 - cos(x)

 plot(x,y,type=l,col=red4,lwd=3)
 lines(x,y2)

 curve() wouldn't work for this

 Michael

 On Sun, Sep 18, 2011 at 1:23 PM, Patrick Burns 
 pbu...@pburns.seanet.comwrote:

 Sarah has told you how to get from where
 you are to where you want to be.

 However, it is easier to start somewhere
 else.  The more R way to do what you are
 doing is to use a list to put the results
 of your regressions into.  It is then very
 easy to use that list, and it is easier to
 keep track of.

 The two documents mentioned in my signature
 may help you get up and running in R.  Since
 you are coming from Stata, you should also
 look at http://r4stats.com


 On 18/09/2011 17:05, Francesco Sarracino wrote:

 Dear all,

 I am a stata user and I am moving my first steps in R.
 I am dealing with a silly issue concerning looping over variables. I read
 previous posts on similar topics in the R help archive, but I did not
 find a
 solution.
 Here is my case:

 I run a simple bivariate linear regression saving the output in objects
 called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3

 pd.memb.0- lm(E.fs.memb ~ M.fs.memb, data, subset = (tag2 == 1))
 pd.memb.1- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb=
 quantile(M.fs.memb, .25)  tag2 == 1))
 pd.memb.2- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
 quantile(M.fs.memb, .25)  M.fs.memb= quantile(M.fs.memb, .75)  tag2 ==
 1))
 pd.memb.3- lm(E.fs.memb ~ M.fs.memb, data, subset = (M.fs.memb
 quantile(M.fs.memb, .75)  tag2 == 1))

 Subsequently, I wish to plot my data superimposing a different line for
 each
 regression model. Here I am trying to apply my loop. Looking at the info
 I
 found around, the following code sound to me as correct, but I am wrong.

 plot(M.fs.memb , E.fs.memb)
 for(i =  1:3){
   curve(coef(pd.memb.i)[1] + coef(pd.memb.i)[2]*x, add = T, cex = 100,
 col =
 red)
 }

 The plot is plotted, but the curves are not printed and  I get the
 following
 error message:


 Error in coef(pd.memb.i) :
   error in evaluating the argument 'object' in selecting a method for
 function 'coef'  }Error: unexpected '}' in }


 What am I doing wrong?
 Thanks a lot for your help,
 f.

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 Patrick Burns
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 PLEASE do read the posting guide http://www.R-project.org/**
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 and provide commented, minimal, self-contained, reproducible code.




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__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.