Re: [R] calculating mean for samples

2008-10-21 Thread stephen sefick
Yeah, I realized that after the fact, and haven't been able to figure
out how to get it to work  -  The replicate function looks promising,
but i could not get it to work in the couple of minutes that i played
around with it.  I will think about it-  if you figure it out send me
along the solution.

On Tue, Oct 21, 2008 at 8:37 AM, al ex [EMAIL PROTECTED] wrote:
 Thanks for the reply Stephen,
 but the samples it makes are all the same:
  f - do.call(rbind , rep(A1[sample(nrow(A1), 5),], 5))  if U print out
 f, you'll see they are all the same.

 --- On Mon, 10/20/08, stephen sefick [EMAIL PROTECTED] wrote:

 From: stephen sefick [EMAIL PROTECTED]
 Subject: Re: [R] calculating mean for samples
 To: [EMAIL PROTECTED], R Help r-help@r-project.org
 Date: Monday, October 20, 2008, 12:05 PM

 assuming that A1 is the data provided in the first post... it would be
 helpful if you used dput() to copy into an email, so that we could
 just copy the code and data right into a R session and be off and
 running.
   I hope this helps.

 #I used dput() on the object A1
 A1 - (structure(list(s1 = c(0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
 s2 = c(0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L), s3 = c(0L,
 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), s4 = c(1L, 0L, 0L, 0L,
 1L, 0L, 0L, 0L, 0L, 1L)), .Names = c(s1, s2,
 s3, s4
 ), class = data.frame, row.names = c(NA, -10L)))

 f - do.call(rbind , rep(A1[sample(nrow(A1), 5),], 5))
 d - apply(f, MARGIN=1, FUN=mean)
 mean(d[names(d)==s1])
 mean(d[names(d)==s2])
 mean(d[names(d)==s3])
 mean(d[names(d)==s4])

 On Mon, Oct 20, 2008 at 2:44 PM, al ex [EMAIL PROTECTED] wrote:
 I dont have a problem with sampling and calculating mean:

 for(i in 1:5){
  res=(A1[sample(nrow(A1), 5),])
  Avg=colMeans(res)
  STD=sd(res)
  print(res)
  print(Avg)
  print(STD)
  }

 my problem is
  how to save the mean for each S in each sample
 and calculate
 the grand mean



 --- On Mon, 10/20/08, stephen sefick [EMAIL PROTECTED] wrote:

 From: stephen sefick [EMAIL PROTECTED]
 Subject: Re: [R] calculating mean for samples
 To: Alex99 [EMAIL PROTECTED]
 Date: Monday, October 20, 2008, 11:34 AM

 look at
 ?sample
 ?lapply
 ?mean

 On Mon, Oct 20, 2008 at 1:53 PM, Alex99 [EMAIL PROTECTED]
 wrote:


  Hi everyone,
 does any one knows how can I calculate mean for different samples
 i.e. I have a data like this:

  s1 s2 s3 s4
 1   0  0  0  1
 2   1  0  1  0
 3   0  0  0  0
 4   0  0  0  0
 5   0  1  0  1
 6   1
   0  0  0
 7   0  0  0  0
 8   0  0  0  0
 9   0  0  0  0
 10  0  0  0  1

 I need to make 5 different sample with 5 different persons(rows)
 in
 each
 sample from it keeping s1,s3,s3,s4 but changing rows. and then
 calculate
 the mean for each S in each sample. and finally
 calculate
 the grand
 mean,which is the mean of means for each sample. i.e. if I sample
 5
 time I
 get 5 different means for s1, s2, s3, s4. then I need to add all
 five
 means for and divide it by 5.(of course I have to do it
  for
 s1,s2,s3,s4
 separately)
 --
 View this message in context:

 http://www.nabble.com/calculating-mean-for-samples-tp20075174p20075174.html
 Sent from the R help mailing list archive at
  Nabble.com.

 __
 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.




 --
 Stephen Sefick
 Research Scientist
 Southeastern Natural Sciences Academy

 Let's not spend our time and resources thinking about things that are
 so little or so large that all they really do for us is puff us up and
 make us feel like gods.  We are mammals, and have not exhausted the
 annoying little problems of being mammals.

  -K.
  Mullis

 __
 Do You Yahoo!?
 Tired of spam? Yahoo! Mail
  has the best spam protection around
 http://mail.yahoo.com



 --
 Stephen Sefick
 Research Scientist
 Southeastern Natural Sciences Academy

 Let's not spend our time and resources thinking about things that are
 so little or so large that all they really do for us is puff us up and
 make us feel like gods.  We are mammals, and have not exhausted the
 annoying little problems of being mammals.

   -K. Mullis





-- 
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods.  We are mammals, and have not exhausted the
annoying little problems of being mammals.

-K. Mullis

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide

Re: [R] calculating mean for samples

2008-10-21 Thread Chuck Cleland
On 10/21/2008 8:41 AM, stephen sefick wrote:
 Yeah, I realized that after the fact, and haven't been able to figure
 out how to get it to work  -  The replicate function looks promising,
 but i could not get it to work in the couple of minutes that i played
 around with it.  I will think about it-  if you figure it out send me
 along the solution.

  How about putting the data frames into a list:

A1 - (structure(list(s1 = c(0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
  s2 = c(0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L),
  s3 = c(0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
  s4 = c(1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L)),
  .Names = c(s1, s2, s3, s4),
  class = data.frame, row.names = c(NA, -10L)))

A1.list - vector(list, 10)

for(i in 1:10){A1.list[[i]] - A1[sample(nrow(A1), 5),]}

t(sapply(A1.list, colMeans))
t(sapply(A1.list, sd))

summary(t(sapply(A1.list, colMeans)))
summary(t(sapply(A1.list, sd)))

 On Tue, Oct 21, 2008 at 8:37 AM, al ex [EMAIL PROTECTED] wrote:
 Thanks for the reply Stephen,
 but the samples it makes are all the same:
  f - do.call(rbind , rep(A1[sample(nrow(A1), 5),], 5))  if U print out
 f, you'll see they are all the same.

 --- On Mon, 10/20/08, stephen sefick [EMAIL PROTECTED] wrote:

 From: stephen sefick [EMAIL PROTECTED]
 Subject: Re: [R] calculating mean for samples
 To: [EMAIL PROTECTED], R Help r-help@r-project.org
 Date: Monday, October 20, 2008, 12:05 PM

 assuming that A1 is the data provided in the first post... it would be
 helpful if you used dput() to copy into an email, so that we could
 just copy the code and data right into a R session and be off and
 running.
   I hope this helps.

 #I used dput() on the object A1
 A1 - (structure(list(s1 = c(0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
 s2 = c(0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L), s3 = c(0L,
 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), s4 = c(1L, 0L, 0L, 0L,
 1L, 0L, 0L, 0L, 0L, 1L)), .Names = c(s1, s2,
 s3, s4
 ), class = data.frame, row.names = c(NA, -10L)))

 f - do.call(rbind , rep(A1[sample(nrow(A1), 5),], 5))
 d - apply(f, MARGIN=1, FUN=mean)
 mean(d[names(d)==s1])
 mean(d[names(d)==s2])
 mean(d[names(d)==s3])
 mean(d[names(d)==s4])

 On Mon, Oct 20, 2008 at 2:44 PM, al ex [EMAIL PROTECTED] wrote:
 I dont have a problem with sampling and calculating mean:

 for(i in 1:5){
  res=(A1[sample(nrow(A1), 5),])
  Avg=colMeans(res)
  STD=sd(res)
  print(res)
  print(Avg)
  print(STD)
  }

 my problem is
  how to save the mean for each S in each sample
 and calculate
 the grand mean



 --- On Mon, 10/20/08, stephen sefick [EMAIL PROTECTED] wrote:

 From: stephen sefick [EMAIL PROTECTED]
 Subject: Re: [R] calculating mean for samples
 To: Alex99 [EMAIL PROTECTED]
 Date: Monday, October 20, 2008, 11:34 AM

 look at
 ?sample
 ?lapply
 ?mean

 On Mon, Oct 20, 2008 at 1:53 PM, Alex99 [EMAIL PROTECTED]
 wrote:

  Hi everyone,
 does any one knows how can I calculate mean for different samples
 i.e. I have a data like this:

  s1 s2 s3 s4
 1   0  0  0  1
 2   1  0  1  0
 3   0  0  0  0
 4   0  0  0  0
 5   0  1  0  1
 6   1
   0  0  0
 7   0  0  0  0
 8   0  0  0  0
 9   0  0  0  0
 10  0  0  0  1

 I need to make 5 different sample with 5 different persons(rows)
 in
 each
 sample from it keeping s1,s3,s3,s4 but changing rows. and then
 calculate
 the mean for each S in each sample. and finally
 calculate
 the grand
 mean,which is the mean of means for each sample. i.e. if I sample
 5
 time I
 get 5 different means for s1, s2, s3, s4. then I need to add all
 five
 means for and divide it by 5.(of course I have to do it
  for
 s1,s2,s3,s4
 separately)
 --
 View this message in context:
 http://www.nabble.com/calculating-mean-for-samples-tp20075174p20075174.html
 Sent from the R help mailing list archive at
  Nabble.com.
 __
 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.



 --
 Stephen Sefick
 Research Scientist
 Southeastern Natural Sciences Academy

 Let's not spend our time and resources thinking about things that are
 so little or so large that all they really do for us is puff us up and
 make us feel like gods.  We are mammals, and have not exhausted the
 annoying little problems of being mammals.

 -K.
  Mullis

 __
 Do You Yahoo!?
 Tired of spam? Yahoo! Mail
  has the best spam protection around
 http://mail.yahoo.com


 --
 Stephen Sefick
 Research Scientist
 Southeastern Natural Sciences Academy

 Let's not spend our time and resources thinking about things that are
 so little or so large that all they really do for us is puff us up and
 make us feel like gods.  We are mammals, and have

[R] calculating mean for samples

2008-10-20 Thread Alex99

Hi everyone,
 does any one knows how can I calculate mean for different samples
 i.e. I have a data like this:

  s1 s2 s3 s4
 1   0  0  0  1
 2   1  0  1  0
 3   0  0  0  0
 4   0  0  0  0
 5   0  1  0  1
 6   1  0  0  0
 7   0  0  0  0
 8   0  0  0  0
 9   0  0  0  0
 10  0  0  0  1

 I need to make 5 different sample with 5 different persons(rows) in each
 sample from it keeping s1,s3,s3,s4 but changing rows. and then calculate
 the mean for each S in each sample. and finally calculate the grand
 mean,which is the mean of means for each sample. i.e. if I sample 5 time I
 get 5 different means for s1, s2, s3, s4. then I need to add all five
 means for and divide it by 5.(of course I have to do it for s1,s2,s3,s4
 separately) 
-- 
View this message in context: 
http://www.nabble.com/calculating-mean-for-samples-tp20075174p20075174.html
Sent from the R help mailing list archive at Nabble.com.

__
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] calculating mean for samples

2008-10-20 Thread stephen sefick
assuming that A1 is the data provided in the first post... it would be
helpful if you used dput() to copy into an email, so that we could
just copy the code and data right into a R session and be off and
running.  I hope this helps.

#I used dput() on the object A1
A1 - (structure(list(s1 = c(0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L),
s2 = c(0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L), s3 = c(0L,
1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), s4 = c(1L, 0L, 0L, 0L,
1L, 0L, 0L, 0L, 0L, 1L)), .Names = c(s1, s2, s3, s4
), class = data.frame, row.names = c(NA, -10L)))

f - do.call(rbind , rep(A1[sample(nrow(A1), 5),], 5))
d - apply(f, MARGIN=1, FUN=mean)
mean(d[names(d)==s1])
mean(d[names(d)==s2])
mean(d[names(d)==s3])
mean(d[names(d)==s4])

On Mon, Oct 20, 2008 at 2:44 PM, al ex [EMAIL PROTECTED] wrote:
 I dont have a problem with sampling and calculating mean:

 for(i in 1:5){
  res=(A1[sample(nrow(A1), 5),])
  Avg=colMeans(res)
  STD=sd(res)
  print(res)
  print(Avg)
  print(STD)
  }

 my problem is how to save the mean for each S in each sample and calculate
 the grand mean



 --- On Mon, 10/20/08, stephen sefick [EMAIL PROTECTED] wrote:

 From: stephen sefick [EMAIL PROTECTED]
 Subject: Re: [R] calculating mean for samples
 To: Alex99 [EMAIL PROTECTED]
 Date: Monday, October 20, 2008, 11:34 AM

 look at
 ?sample
 ?lapply
 ?mean

 On Mon, Oct 20, 2008 at 1:53 PM, Alex99 [EMAIL PROTECTED] wrote:


  Hi everyone,
 does any one knows how can I calculate mean for different samples
 i.e. I have a data like this:

  s1 s2 s3 s4
 1   0  0  0  1
 2   1  0  1  0
 3   0  0  0  0
 4   0  0  0  0
 5   0  1  0  1
 6   1  0  0  0
 7   0  0  0  0
 8   0  0  0  0
 9   0  0  0  0
 10  0  0  0  1

 I need to make 5 different sample with 5 different persons(rows) in
 each
 sample from it keeping s1,s3,s3,s4 but changing rows. and then
 calculate
 the mean for each S in each sample. and finally calculate
 the grand
 mean,which is the mean of means for each sample. i.e. if I sample 5
 time I
 get 5 different means for s1, s2, s3, s4. then I need to add all five
 means for and divide it by 5.(of course I have to do it
  for
 s1,s2,s3,s4
 separately)
 --
 View this message in context:
 http://www.nabble.com/calculating-mean-for-samples-tp20075174p20075174.html
 Sent from the R help mailing list archive at Nabble.com.

 __
 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.




 --
 Stephen Sefick
 Research Scientist
 Southeastern Natural Sciences Academy

 Let's not spend our time and resources thinking about things that are
 so little or so large that all they really do for us is puff us up and
 make us feel like gods.  We are mammals, and have not exhausted the
 annoying little problems of being mammals.

   -K.
  Mullis

 __
 Do You Yahoo!?
 Tired of spam? Yahoo! Mail has the best spam protection around
 http://mail.yahoo.com



-- 
Stephen Sefick
Research Scientist
Southeastern Natural Sciences Academy

Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods.  We are mammals, and have not exhausted the
annoying little problems of being mammals.

-K. Mullis

__
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.