Re: [R] random sample from arrays
Hi Joris,
sorry for the late response. But I was away for a couple of days. Apparently
i also did something wrong than.
Now both these loops are working as they suppose to.
Thanks again for all the help.
Assa
On Fri, Jul 9, 2010 at 17:05, Joris Meys jorism...@gmail.com wrote:
Could you elaborate?
Both
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:11)){
set[,i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
and
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i,] -sample(x,11)
print(c(i,-, set), quote = FALSE)
}
run perfectly fine on my computer.
Cheers
On Fri, Jul 9, 2010 at 3:10 PM, Assa Yeroslaviz fry...@gmail.com wrote:
Hi Joris,
I guess i did it wrong again.
but your example didn't work either. I still get the error massage.
but replicate function just fine. I can even replicate the whole array
lines.
THX
Assa
On Thu, Jul 8, 2010 at 15:20, Joris Meys jorism...@gmail.com wrote:
Don't know what exactly you're trying to do, but you make a matrix
with 11 columns and 50 rows, then treat it as a vector. On top of
that, you try to fill 50 rows/columns with 50 values. Off course that
doesn't work. Did you check the warning messages when running the
code?
Either do :
for(i in c(1:11)){
set[,i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
or
for(i in c(1:50)){
set[i,] -sample(x,11)
print(c(i,-, set), quote = FALSE)
}
Or just forget about the loop altogether and do :
set - replicate(11,sample(x,50))
or
set - t(replicate(50,sample(x,11)))
cheers
On Thu, Jul 8, 2010 at 8:04 AM, Assa Yeroslaviz fry...@gmail.com
wrote:
Hello R users,
I'm trying to extract random samples from a big array I have.
I have a data frame of over 40k lines and would like to produce around
50
random sample of around 200 lines each from this array.
this is the matrix
ID xxx_1c xxx__2c xxx__3c xxx__4c xxx__5T xxx__6T xxx__7T
xxx__8T
yyy_1c yyy_1c _2c
1 A_512 2.150295 2.681759 2.177138 2.142790 2.115344 2.013047
2.115634 2.189372 1.643328 1.563523
2 A_134 12.832488 12.596373 12.882581 12.987091 11.956149 11.994779
11.650336 11.995504 13.024494 12.776322
3 A_152 2.063276 2.160961 2.067549 2.059732 2.656416 2.075775
2.033982 2.111937 1.606340 1.548940
4 A_163 9.570761 10.448615 9.432859 9.732615 10.354234 10.993279
9.160038 9.104121 10.079177 9.828757
5 A_184 3.574271 4.680859 4.517047 4.047096 3.623668 3.021356
3.559434 3.156093 4.308437 4.045098
6 A_199 7.593952 7.454087 7.513013 7.449552 7.345718 7.367068
7.410085 7.022582 7.668616 7.953706
...
I tried to do it with a for loop:
genelist - read.delim(/user/R/raw_data.txt)
rownames(genelist) - genelist[,1]
genes - rownames(genelist)
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
which basically do the trick, but I just can't save the results
outside
the
loop.
After having the random sets of lines it wasn't a problem to extract
the
line from the arrays using subset.
genSet1 -sample(x,50)
random1 - genes %in% genSet1
subsetGenelist - subset(genelist, random1)
is there a different way of creating these random vectors or saving
the
loop
results outside tjhe loop so I cn work with them?
Thanks a lot
Assa
[[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.
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
---
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
---
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
[[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] random sample from arrays
Hi Joris,
I guess i did it wrong again.
but your example didn't work either. I still get the error massage.
but replicate function just fine. I can even replicate the whole array
lines.
THX
Assa
On Thu, Jul 8, 2010 at 15:20, Joris Meys jorism...@gmail.com wrote:
Don't know what exactly you're trying to do, but you make a matrix
with 11 columns and 50 rows, then treat it as a vector. On top of
that, you try to fill 50 rows/columns with 50 values. Off course that
doesn't work. Did you check the warning messages when running the
code?
Either do :
for(i in c(1:11)){
set[,i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
or
for(i in c(1:50)){
set[i,] -sample(x,11)
print(c(i,-, set), quote = FALSE)
}
Or just forget about the loop altogether and do :
set - replicate(11,sample(x,50))
or
set - t(replicate(50,sample(x,11)))
cheers
On Thu, Jul 8, 2010 at 8:04 AM, Assa Yeroslaviz fry...@gmail.com wrote:
Hello R users,
I'm trying to extract random samples from a big array I have.
I have a data frame of over 40k lines and would like to produce around 50
random sample of around 200 lines each from this array.
this is the matrix
ID xxx_1c xxx__2c xxx__3c xxx__4c xxx__5T xxx__6T xxx__7T
xxx__8T
yyy_1c yyy_1c _2c
1 A_512 2.150295 2.681759 2.177138 2.142790 2.115344 2.013047
2.115634 2.189372 1.643328 1.563523
2 A_134 12.832488 12.596373 12.882581 12.987091 11.956149 11.994779
11.650336 11.995504 13.024494 12.776322
3 A_152 2.063276 2.160961 2.067549 2.059732 2.656416 2.075775
2.033982 2.111937 1.606340 1.548940
4 A_163 9.570761 10.448615 9.432859 9.732615 10.354234 10.993279
9.160038 9.104121 10.079177 9.828757
5 A_184 3.574271 4.680859 4.517047 4.047096 3.623668 3.021356
3.559434 3.156093 4.308437 4.045098
6 A_199 7.593952 7.454087 7.513013 7.449552 7.345718 7.367068
7.410085 7.022582 7.668616 7.953706
...
I tried to do it with a for loop:
genelist - read.delim(/user/R/raw_data.txt)
rownames(genelist) - genelist[,1]
genes - rownames(genelist)
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
which basically do the trick, but I just can't save the results outside
the
loop.
After having the random sets of lines it wasn't a problem to extract the
line from the arrays using subset.
genSet1 -sample(x,50)
random1 - genes %in% genSet1
subsetGenelist - subset(genelist, random1)
is there a different way of creating these random vectors or saving the
loop
results outside tjhe loop so I cn work with them?
Thanks a lot
Assa
[[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.
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
---
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
[[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] random sample from arrays
Could you elaborate?
Both
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:11)){
set[,i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
and
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i,] -sample(x,11)
print(c(i,-, set), quote = FALSE)
}
run perfectly fine on my computer.
Cheers
On Fri, Jul 9, 2010 at 3:10 PM, Assa Yeroslaviz fry...@gmail.com wrote:
Hi Joris,
I guess i did it wrong again.
but your example didn't work either. I still get the error massage.
but replicate function just fine. I can even replicate the whole array
lines.
THX
Assa
On Thu, Jul 8, 2010 at 15:20, Joris Meys jorism...@gmail.com wrote:
Don't know what exactly you're trying to do, but you make a matrix
with 11 columns and 50 rows, then treat it as a vector. On top of
that, you try to fill 50 rows/columns with 50 values. Off course that
doesn't work. Did you check the warning messages when running the
code?
Either do :
for(i in c(1:11)){
set[,i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
or
for(i in c(1:50)){
set[i,] -sample(x,11)
print(c(i,-, set), quote = FALSE)
}
Or just forget about the loop altogether and do :
set - replicate(11,sample(x,50))
or
set - t(replicate(50,sample(x,11)))
cheers
On Thu, Jul 8, 2010 at 8:04 AM, Assa Yeroslaviz fry...@gmail.com wrote:
Hello R users,
I'm trying to extract random samples from a big array I have.
I have a data frame of over 40k lines and would like to produce around
50
random sample of around 200 lines each from this array.
this is the matrix
ID xxx_1c xxx__2c xxx__3c xxx__4c xxx__5T xxx__6T xxx__7T
xxx__8T
yyy_1c yyy_1c _2c
1 A_512 2.150295 2.681759 2.177138 2.142790 2.115344 2.013047
2.115634 2.189372 1.643328 1.563523
2 A_134 12.832488 12.596373 12.882581 12.987091 11.956149 11.994779
11.650336 11.995504 13.024494 12.776322
3 A_152 2.063276 2.160961 2.067549 2.059732 2.656416 2.075775
2.033982 2.111937 1.606340 1.548940
4 A_163 9.570761 10.448615 9.432859 9.732615 10.354234 10.993279
9.160038 9.104121 10.079177 9.828757
5 A_184 3.574271 4.680859 4.517047 4.047096 3.623668 3.021356
3.559434 3.156093 4.308437 4.045098
6 A_199 7.593952 7.454087 7.513013 7.449552 7.345718 7.367068
7.410085 7.022582 7.668616 7.953706
...
I tried to do it with a for loop:
genelist - read.delim(/user/R/raw_data.txt)
rownames(genelist) - genelist[,1]
genes - rownames(genelist)
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
which basically do the trick, but I just can't save the results outside
the
loop.
After having the random sets of lines it wasn't a problem to extract the
line from the arrays using subset.
genSet1 -sample(x,50)
random1 - genes %in% genSet1
subsetGenelist - subset(genelist, random1)
is there a different way of creating these random vectors or saving the
loop
results outside tjhe loop so I cn work with them?
Thanks a lot
Assa
[[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.
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
---
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
---
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
__
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.
[R] random sample from arrays
Hello R users,
I'm trying to extract random samples from a big array I have.
I have a data frame of over 40k lines and would like to produce around 50
random sample of around 200 lines each from this array.
this is the matrix
ID xxx_1c xxx__2c xxx__3c xxx__4c xxx__5T xxx__6T xxx__7T xxx__8T
yyy_1c yyy_1c _2c
1 A_512 2.150295 2.681759 2.177138 2.142790 2.115344 2.013047
2.115634 2.189372 1.643328 1.563523
2 A_134 12.832488 12.596373 12.882581 12.987091 11.956149 11.994779
11.650336 11.995504 13.024494 12.776322
3 A_152 2.063276 2.160961 2.067549 2.059732 2.656416 2.075775
2.033982 2.111937 1.606340 1.548940
4 A_163 9.570761 10.448615 9.432859 9.732615 10.354234 10.993279
9.160038 9.104121 10.079177 9.828757
5 A_184 3.574271 4.680859 4.517047 4.047096 3.623668 3.021356
3.559434 3.156093 4.308437 4.045098
6 A_199 7.593952 7.454087 7.513013 7.449552 7.345718 7.367068
7.410085 7.022582 7.668616 7.953706
...
I tried to do it with a for loop:
genelist - read.delim(/user/R/raw_data.txt)
rownames(genelist) - genelist[,1]
genes - rownames(genelist)
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
which basically do the trick, but I just can't save the results outside the
loop.
After having the random sets of lines it wasn't a problem to extract the
line from the arrays using subset.
genSet1 -sample(x,50)
random1 - genes %in% genSet1
subsetGenelist - subset(genelist, random1)
is there a different way of creating these random vectors or saving the loop
results outside tjhe loop so I cn work with them?
Thanks a lot
Assa
[[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] random sample from arrays
Don't know what exactly you're trying to do, but you make a matrix
with 11 columns and 50 rows, then treat it as a vector. On top of
that, you try to fill 50 rows/columns with 50 values. Off course that
doesn't work. Did you check the warning messages when running the
code?
Either do :
for(i in c(1:11)){
set[,i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
or
for(i in c(1:50)){
set[i,] -sample(x,11)
print(c(i,-, set), quote = FALSE)
}
Or just forget about the loop altogether and do :
set - replicate(11,sample(x,50))
or
set - t(replicate(50,sample(x,11)))
cheers
On Thu, Jul 8, 2010 at 8:04 AM, Assa Yeroslaviz fry...@gmail.com wrote:
Hello R users,
I'm trying to extract random samples from a big array I have.
I have a data frame of over 40k lines and would like to produce around 50
random sample of around 200 lines each from this array.
this is the matrix
ID xxx_1c xxx__2c xxx__3c xxx__4c xxx__5T xxx__6T xxx__7T xxx__8T
yyy_1c yyy_1c _2c
1 A_512 2.150295 2.681759 2.177138 2.142790 2.115344 2.013047
2.115634 2.189372 1.643328 1.563523
2 A_134 12.832488 12.596373 12.882581 12.987091 11.956149 11.994779
11.650336 11.995504 13.024494 12.776322
3 A_152 2.063276 2.160961 2.067549 2.059732 2.656416 2.075775
2.033982 2.111937 1.606340 1.548940
4 A_163 9.570761 10.448615 9.432859 9.732615 10.354234 10.993279
9.160038 9.104121 10.079177 9.828757
5 A_184 3.574271 4.680859 4.517047 4.047096 3.623668 3.021356
3.559434 3.156093 4.308437 4.045098
6 A_199 7.593952 7.454087 7.513013 7.449552 7.345718 7.367068
7.410085 7.022582 7.668616 7.953706
...
I tried to do it with a for loop:
genelist - read.delim(/user/R/raw_data.txt)
rownames(genelist) - genelist[,1]
genes - rownames(genelist)
x - 1:4
set - matrix(nrow = 50, ncol = 11)
for(i in c(1:50)){
set[i] -sample(x,50)
print(c(i,-, set), quote = FALSE)
}
which basically do the trick, but I just can't save the results outside the
loop.
After having the random sets of lines it wasn't a problem to extract the
line from the arrays using subset.
genSet1 -sample(x,50)
random1 - genes %in% genSet1
subsetGenelist - subset(genelist, random1)
is there a different way of creating these random vectors or saving the loop
results outside tjhe loop so I cn work with them?
Thanks a lot
Assa
[[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.
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
---
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
__
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.
