[R] interior and exterior colors of a map

2009-11-25 Thread dxc13

Hi useR's,
I have an image plot I want to overlay a map of the United States on, via
map('usa').  The image is basically a large rectangular of various colors. 
When I overlay the United States map, the full rectangle of the image plot
is visible, but I only want to display the image WITHIN the United States
boundary.
Does anyone know a way to do this?
Thanks in advance,

dxc13
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[R] Deleting columns from a matrix

2009-05-24 Thread dxc13

useR's,
I have a matrix given by the code:
mat -
matrix(c(rep(NA,10),1,2,3,4,5,6,7,8,9,10,10,9,8,NA,6,5,4,NA,2,1,rep(NA,10),1,2,3,4,NA,6,7,8,9,10),10,5)

This is a 10x5 matrix containing missing values.  All columns except the
second contain missing values.  I want to delete all columns that contain
ALL missing values, and in this case, it would be the first and fourth
columns.  Any column that has at least one real number would remain. I know
I can use mat[,-1] to delete the first column, but I have a much larger
matrix where it is impossible to tell how many columns contain all missing
values and which don't.  
Is there a function or something else that may be able to help me accomplish
this?

Thanks in advance.
dxc13 
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Re: [R] Deleting columns from a matrix

2009-05-24 Thread dxc13

Thanks, both of these methods work great!


Dimitris Rizopoulos-4 wrote:
 
 one way is:
 
 mat - 
 matrix(c(rep(NA,10),1,2,3,4,5,6,7,8,9,10,10,9,8,NA,6,5,4,NA,2,1,rep(NA,10),1,2,3,4,NA,6,7,8,9,10),
  
 10, 5)
 ind - colSums(is.na(mat)) != nrow(mat)
 mat[, ind]
 
 
 I hope it helps.
 
 Best,
 Dimitris
 
 
 dxc13 wrote:
 useR's,
 I have a matrix given by the code:
 mat -
 matrix(c(rep(NA,10),1,2,3,4,5,6,7,8,9,10,10,9,8,NA,6,5,4,NA,2,1,rep(NA,10),1,2,3,4,NA,6,7,8,9,10),10,5)
 
 This is a 10x5 matrix containing missing values.  All columns except the
 second contain missing values.  I want to delete all columns that contain
 ALL missing values, and in this case, it would be the first and fourth
 columns.  Any column that has at least one real number would remain. I
 know
 I can use mat[,-1] to delete the first column, but I have a much larger
 matrix where it is impossible to tell how many columns contain all
 missing
 values and which don't.  
 Is there a function or something else that may be able to help me
 accomplish
 this?
 
 Thanks in advance.
 dxc13 
 
 -- 
 Dimitris Rizopoulos
 Assistant Professor
 Department of Biostatistics
 Erasmus University Medical Center
 
 Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
 Tel: +31/(0)10/7043478
 Fax: +31/(0)10/7043014
 
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Re: [R] how to calculate means of matrix elements

2009-05-19 Thread dxc13

Easy enough.  What if some of the matrix elements contained missing values? 
Then how could you still calculate the means?  Example code below:
mat1 - matrix(c(1,2,3,4,5,NA,7,8,9),3,3)
mat2 - matrix(c(NA,6,1,9,0,5,8,2,7),3,3)
mat3 - matrix(c(5,9,1,8,NA,3,7,2,4),3,3)


Gabor Grothendieck wrote:
 
 Try this:
 
 (mat1 + mat2 + mat3) / 3
 
 On Mon, May 18, 2009 at 8:40 PM, dxc13 dx...@health.state.ny.us wrote:

 useR's,
 I have several matrices of size 4x4 that I want to calculate means of
 their
 respective positions with.  For example, consider I have 3 matrices given
 by
 the code:
 mat1 - matrix(sample(1:20,16,replace=T),4,4)
 mat2 - matrix(sample(-5:15,16,replace=T),4,4)
 mat3 - matrix(sample(5:25,16,replace=T),4,4)

 The result I want is one matrix of size 4x4 in which position [1,1] is
 the
 mean of position [1,1] of the given three matrices.  The same goes for
 all
 other positions of the matrix.  If these three matrices are given in
 separate text files, how can I write code that will get this result I
 need?

 Thanks in advance,
 dxc13
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[R] how to calculate means of matrix elements

2009-05-18 Thread dxc13

useR's,
I have several matrices of size 4x4 that I want to calculate means of their
respective positions with.  For example, consider I have 3 matrices given by
the code:
mat1 - matrix(sample(1:20,16,replace=T),4,4)
mat2 - matrix(sample(-5:15,16,replace=T),4,4)
mat3 - matrix(sample(5:25,16,replace=T),4,4)

The result I want is one matrix of size 4x4 in which position [1,1] is the
mean of position [1,1] of the given three matrices.  The same goes for all
other positions of the matrix.  If these three matrices are given in
separate text files, how can I write code that will get this result I need?

Thanks in advance,
dxc13
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[R] can I plot a matrix of colors?

2009-05-14 Thread dxc13

Hi all,

I have a 36x14 matrix of hexadecimal coded colors (see attached file) that
was created with the following code:
cellcol[is.na(cellcol)] - #00
#Aliceblue
cellcol[cellcol  5] - #F0F8FF
#Skyblue1
cellcol[cellcol = 5  cellcol  20] - #87CEFF
#Blue
cellcol[cellcol = 20  cellcol  35] - #FF
#Green3
cellcol[cellcol = 35  cellcol  50] - #00CD00
#Yellow2
cellcol[cellcol = 50  cellcol  60] - #00
#Orange2
cellcol[cellcol = 60  cellcol  75] - #EE9A00
#Red
cellcol[cellcol = 75  cellcol  90] - #EE
#Firebrick
cellcol[cellcol = 90] - #B2 

My question is, can I plot this matrix using image() or do the colors need
to be in a different format?
Thank you.

dxc13
http://www.nabble.com/file/p23542487/colors.txt colors.txt 
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Re: [R] plotting a grid with color on a map

2009-05-13 Thread dxc13

Thanks, Jim.  This seems to be what I am looking for.  Just have to fine tune
the colors to get some distinctive greens, blues, yellows and oranges in
there and I should be good to go.


Jim Lemon-2 wrote:
 
 It was the NAs that fooled color2D.matplot. This gets your colors, 
 although not exactly what you want. Look at the help for color2D.matplot 
 to get that. I think fiddling with the x and y limits on the map() call 
 will get the positions right.
 
 temp1-read.table(time1test.dat,header=TRUE)
 library(plotrix)
 # reverse the row order, as color2D.matplot reverses it
 color2D.matplot(temp1[36:1,],c(0.5,1),c(0.5,0),c(1,0),axes=FALSE)
 # don't erase the above plot
 par(new=TRUE)
 # do a ghost plot with just the axes
 plot(0,xlim=maplim[1:2],ylim=maplim[3:4],type=n)
 # add the map on top in black
 map(add=TRUE,col=black)
 
 Jim
 
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[R] Overlaying two plots

2009-05-13 Thread dxc13

Hi useR's,

I want to overlay an image plot over a world map and I can do it, but just
not the way I need to do it.  Here is the code I am using (with data file
attached) to create my baseline map:
library(sp)
load(TM_WORLD_BORDERS_SIMPL-0.2.RData)
par(bty=l)
plot(wrld_simpl, axes = TRUE, ylim = c(-90, 90), xlim=c(-180, 180), asp=1.5)
lim - par(usr)
abline(v=-180, h=90, col=red)  #Image plot needs to be inside this square#
abline(v=180, h=-90, col=red)

The last two statements create a square on the map between the latitude and
longitude limits of the world.  I want to place the following image plot
(data matrix attached) inside that square region and then overlay the world
map again.  When I use the following code, the image plot takes up the whole
plot screen and is not within the square region and thus when I overlay the
world map, the coordinates will be off.

df - as.matrix(read.table(kz_time1.txt, header=F))
dff - apply(df, 2, rev)
image(t(dff), xlab=, ylab=, axes=FALSE)

par(new=TRUE)
plot(wrld_simpl, axes = TRUE, ylim = c(-90, 90), xlim=c(-180, 180), asp =
1.5, xlab=Longitude, ylab=Latitude)
abline(v=-180, h=90, col=red) 
abline(v=180, h=-90, col=red)

Can anyone help?
Thanks in advance.
dxc13

  http://www.nabble.com/file/p23526662/TM_WORLD_BORDERS_SIMPL-0.2.RData
TM_WORLD_BORDERS_SIMPL-0.2.RData 
http://www.nabble.com/file/p23526662/kz_time1.txt kz_time1.txt 
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Re: [R] Plotting colors on a world map

2009-05-12 Thread dxc13

So, this would allow me to assign a color to each of the 2592 rectangular
grid cells on a map of the world?  I guess I am having trouble finding a
suitable method of doing this.  Also, to be able to distinguish country
boundaries from the grid lines (which are both black color), could the grid
lines be transparent so that all we see is the map of the world in various
colors?
I was thinking that 10 degrees would be light blue, 10-30 degrees would be
blue, 31-40 be green, 41-50 be yellow, 51-60 be dark yellow, 61-70 be
orange, 71-80 be red, 81-90 be dark red.

Any help is appreciated in getting this task accomplished.  Thanks


Duncan Murdoch-2 wrote:
 
 On 5/11/2009 10:32 AM, dxc13 wrote:
 Hi useR's
 
 I have created a simple map of the world using the following code:
 m - map(xlim=c(-180,180), ylim=c(-90,90))
 map.axes()
 
 I then create a grid of dimension 36x72 using the code:
 map.grid(m, nx=72, ny=36, labels=FALSE, col=black)
 
 This gives 2592 grid cells.  In a separate data set of dimension 36x72, I
 have 2592 temperature values (some missing values are present) ranging
 from
 -20 degrees F to 90 degrees F.  
 
 My question is, how can I create a reasonable color scheme (low
 temperatures
 in light blue to higher temperatures in dark red) and plot the
 temperature
 colors in their respective grid cells on the map?
 
 Take this data matrix as some example data:
 T - sample(-10:90, 2592, replace=TRUE)
 mat - matrix(T, nrow=36, ncol=72)
 
 
 The colorspace package can make nice color sequences for this sort of 
 thing, and image() can add them to a plot.  In colorspace, look at the 
 examples for diverge_hcl.
 
 Duncan Murdoch
 
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[R] plotting a grid with color on a map

2009-05-12 Thread dxc13

Hi all,
I have posted similar questions regarding this topic, but I just can't seem
to get over the hump and find a straightforward way to do this.  I have
attached my file as a reference.
Basically, the attached file is a 5 degree by 5 degree grid of the the world
(2592 cells), most of them are NA's.  I just want to be able to plot this
grid over a world map and color code the cells.  For example, if a cell has
a temperature less than 20 degrees it will be blue, 21 to 50 green color,
51-70 orange, 71+ red colored cells.  For any NAs, they should be colored
white.

I know how to create a map of the world using map() and add a grid to it
using map.grid(), but I can't color code the cells the way I need.  Is there
a way to do this in R?

Thanks again.
dxc13 http://www.nabble.com/file/p23514804/time1test.txt time1test.txt 
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[R] Plotting colors on a world map

2009-05-11 Thread dxc13

Hi useR's

I have created a simple map of the world using the following code:
m - map(xlim=c(-180,180), ylim=c(-90,90))
map.axes()

I then create a grid of dimension 36x72 using the code:
map.grid(m, nx=72, ny=36, labels=FALSE, col=black)

This gives 2592 grid cells.  In a separate data set of dimension 36x72, I
have 2592 temperature values (some missing values are present) ranging from
-20 degrees F to 90 degrees F.  

My question is, how can I create a reasonable color scheme (low temperatures
in light blue to higher temperatures in dark red) and plot the temperature
colors in their respective grid cells on the map?

Take this data matrix as some example data:
T - sample(-10:90, 2592, replace=TRUE)
mat - matrix(T, nrow=36, ncol=72)


Thanks in advance,
dxc13
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[R] A variation on the bar plot

2009-05-04 Thread dxc13

Hi all,
I cannot think of the technical name of this plot, but I want to create a
plot with the data below that looks like two back-to-back horizontal bar
plots.
Ideally, there would be a vertical line in the center of the plot at zero,
and on the right hand side would be 4 bars representing the values for 2007,
and on the left side of the vertical line would be the corresponding values
for 2005.  Even though values would be on the left side of the zero line, it
doesn't mean they are negative, I just want to compare changes in time.

data
 2005  2007
11.42 11.76
11.93 11.97
4.06   4.53 
4.29   4.47 

Hope this is clear,
Thanks in advance.

dxc13
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[R] gridding values in a data frame

2009-04-30 Thread dxc13

Hi all,
I have a data frame that looks like such:
LATITUDE   LONGITUDE   TEMPERATURE   TIME
36.73 -176.4358.32   1
50.9590.0074.39   1
-30.425.4523.26   1
15.81 -109.3152.44   1
-80.75-144.9566.19  2
90.00  100.5537.50   2
65.41 -4.49   29.83   2

and this goes on for a A LOT more records, until time=1200

I want to create a 5 degree by 5 degree grid of this data, with the value of
temperature in the appropriate grid cell.  I want one grid for each time
value.  For each time value, this works out to be a 36x72 grid with 2592
cells because the longitude spans -180 to 180 and latitude spans 90 to -90
and they would be in increments of 5 degrees.  If there are no temperatures
available to be put into a grid cell, than that cell should get a missing
value, NA, put into it.
Also, could the gridded result for each time be written to a text file
before processing the next time value?

Hope this is clear.  
Thanks in advance.

dxc13
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Re: [R] gridding values in a data frame

2009-04-30 Thread dxc13

Thank you for your input. I will give it a try and see how it works out.  I
always have the same problem when programming...I always make things more
complicated than they really are :-).
Much appreciated.


jdeisenberg wrote:
 
 
 
 dxc13 wrote:
 
 Hi all,
 I have a data frame that looks like such:
 LATITUDE   LONGITUDE   TEMPERATURE   TIME
 36.73 -176.4358.32   1
 
 and this goes on for a A LOT more records, until time=1200
 
 I want to create a 5 degree by 5 degree grid of this data, with the value
 of temperature in the appropriate grid cell.  I want one grid for each
 time value.  
 
 dxc13
 
 
 The following appears to work, but is most definitely *not* in the spirit
 of R -- it's more like a C program written in R.  Undoubtedly someone
 will come up with a much more clever method. (This is always my problem; I
 come up with a workable solution, but it's not elegant.)
 
 Note: the grid has to have 37 rows, since latitude -90 to +90 (inclusive)
 takes 37 5-degree increments; since -180 and +180 longitude are the same,
 you would never have them as separate numbers.
 
 d - read.csv(weather.csv)
 for (i in 1:1200)
 {
 x - d[d$TIME==i,]
 if (length(x$TIME)  0)
 {
 print(sprintf(# of elements for time %d:  %d, i,
 length(x$TIME)))
 grid - matrix(NA, nrow=37, ncol=72)
 for (j in 1:length(x$TIME))
 {
 lat - 1 + trunc((90 + x$LATITUDE[j]) / 5)
 long -  1 + trunc((180 + x$LONGITUDE[j]) / 5)
 grid[lat,long] - x$TEMPERATURE[j]
 }
 write(t(grid), file=sprintf(time%d.csv, i), ncolumns=72,
 sep=,)
 }
 }
 
 

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[R] how to cite R data sets

2008-11-04 Thread dxc13

Hi,

As part of a project I am doing, I am using the airquality data set that
comes built into R as a means of showing an example of how my analysis will
be carried out.  I know that citation(package) will produce a citation for
any R package, but is there a proper way to cite this data set?

Thanks,
~D
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[R] smoothing with the Gaussian kernel

2008-09-04 Thread dxc13

useR's,

Does anyone know what function or package allows one to specify use of the
Gaussian kernel to smooth a data set, or is this just the default for most
functions?

Thanks,
dxc13
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[R] how to draw a perspective pyramid

2008-08-31 Thread dxc13

Dear list,

I am trying to construct a perspective plot of a 2D triangle, or pyramid.  I
can easily do the one dimensional plot (code below), but I can't figure out
how to do it in a perspective plot for two input variables.  Does anyone
have a simple solution? 

Thanks!
Derek

#code for a triangle
u - seq(-1,1,.001)
tri - (1-abs(u))
plot(tri~u,type=l,main=Second Iteration Kernel: Two Input
Variables,lwd=2,
xlab=x,ylab=y,col=blue)

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[R] help with persp function

2008-08-30 Thread dxc13

Dear List,

I am trying to draw a rectangular plane using the persp function, however I
can't seem to get it to work. I want the length along x1 axis to be between
1 and 3 and the length along the x2 axis to be between 1 and 4.  All z
values for x1 should be equal (say, z=1) because this is a plane, not a
cube.  Below is my current code.  Any help is appreciated
Thanks in advance

dxc13

x - seq(from=1,to=3,by=.1)
y - seq(1,4,by=.1)
f - array(1,dim=c(21,1))
z - as.matrix(cbind(x,y,f))
persp(x=x,y=y,z)

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Re: [R] help with persp function

2008-08-30 Thread dxc13

Yes, this works nicely. Thank you!


jholtman wrote:
 
 Is this what you want to do:
 
 x - seq(from=1,to=3,by=.1)
 y - seq(1,4,by=.1)
 z - matrix(1, length(x), length(y))
 persp(x=x,y=y,z,zlim=c(0,2))
 
 
 On Sat, Aug 30, 2008 at 2:08 PM, dxc13 [EMAIL PROTECTED] wrote:

 Dear List,

 I am trying to draw a rectangular plane using the persp function, however
 I
 can't seem to get it to work. I want the length along x1 axis to be
 between
 1 and 3 and the length along the x2 axis to be between 1 and 4.  All z
 values for x1 should be equal (say, z=1) because this is a plane, not a
 cube.  Below is my current code.  Any help is appreciated
 Thanks in advance

 dxc13

 x - seq(from=1,to=3,by=.1)
 y - seq(1,4,by=.1)
 f - array(1,dim=c(21,1))
 z - as.matrix(cbind(x,y,f))
 persp(x=x,y=y,z)

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 +1 513 646 9390
 
 What is the problem that you are trying to solve?
 
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[R] finding a faster way to do an iterative computation

2008-07-29 Thread dxc13

useR's,

I am trying trying to find out if there is a faster way to do a certain
computation.  I have successfully used FOR loops and the apply function to
do this, but it can take some time to fully compute, but I was wondering if
anyone may know of a different function or way to do this:
 x
[1] 1 2 3 4 5
 xk
 [1] 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0

I want to do: abs(x-xk[i]) where i = 1 to length(xk)=13.  It should result
in a 13 by 5 matrix or data frame.  Does anyone have a quicker solution
than FOR loops or apply()?

Much appreciation and thanks,
dxc13
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Re: [R] finding a faster way to do an iterative computation

2008-07-29 Thread dxc13

Thank you to all who applied.  These all seem to work the way I want them to. 
The outer function seems really useful, I probably could use that for a lot
of my work.
Thanks!

Rolf Turner-3 wrote:
 
 
 On 30/07/2008, at 6:12 AM, dxc13 wrote:
 

 useR's,

 I am trying trying to find out if there is a faster way to do a  
 certain
 computation.  I have successfully used FOR loops and the apply  
 function to
 do this, but it can take some time to fully compute, but I was  
 wondering if
 anyone may know of a different function or way to do this:
 x
 [1] 1 2 3 4 5
 xk
  [1] 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0

 I want to do: abs(x-xk[i]) where i = 1 to length(xk)=13.  It should  
 result
 in a 13 by 5 matrix or data frame.  Does anyone have a quicker  
 solution
 than FOR loops or apply()?
 
   outer(xk,x,function(a,b){abs(a-b)})
 
 ##
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[R] simple random number generation

2008-07-24 Thread dxc13

useR's,

I want to randomly generate 500 numbers from the standard normal
distribution, i.e. N(0,1), but I only want them to be generated in the range
-1.5 to 1.5.  Does anyone have a simple way to do this?

Thanks,

dxc13
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[R] including data frames in R packages

2008-02-24 Thread dxc13

useR's,

Does any one know if there is a size limitation on the data frames that can
be included in R packages.  I have a data set in a text file that I would
like to include in a package I am building and it is 8.5 MB in size.  Will
this be problematic?  Is the process for including data sets in packages
documented in WRE?

Thanks,
dxc
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[R] applying a function to data frame columns

2008-02-21 Thread dxc13

useR's,

I want to apply this function to the columns of a data frame:

u[u = range(v)[1]  u = range(v)[2]]

where u is the n column data frame under consideration and v is a data frame
of values with the same number of columns as u.  For example,
v1 - c(1,2,3)
v2 - c(3,4,5)
v3 - c(2,3,4)
v - as.data.frame(cbind(v1,v2,v3))

uk1 - seq(min(v1) - .5, max(v1) + .5, .5)
uk2 - seq(min(v2) - .5, max(v2) + .5, .5)
uk3 - seq(min(v3) - .5, max(v3) + .5, .5)

u - do.call(expand.grid, list(uk1,uk2,uk3))

Here, there are 3 columns; instead of hard-coding this, can the function
given above, which will restrict the u data frame to values within the
ranges of each variable, be done with the apply function?  Thanks in
advance.

dxc13

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[R] intersecting rows of a matrix

2008-02-20 Thread dxc13

useR's,

First, I would like to say thanks to John Fox for providing this segment of
code to perform intersection for multiple sets:
intersection - function(x, y, ...){
if (missing(...)) intersect(x, y)
else intersect(x, intersection(y, ...))
}

I want to execute this function on the rows of a matrix I have:
Ik.mat.test - matrix(c(2,3,6,1,2,6,6,1,2),byrow=T,nrow=3)
 Ik.mat.test
 [,1] [,2] [,3]
[1,]236
[2,]126
[3,]612

I need to find a way to run the intersection function on the rows of this
matrix.  The result should be a vector containing 2, 6.  
This works, but I want to find a way to do this for any size matrix.
intersection(Ik.mat.test[1,],Ik.mat.test[2,], Ik.mat.test[3,])
So, if the user supplied a matrix with any number of rows, I would like to
be able to run this function.  Any ideas?
I have tried something like
do.call(intersection, list(Ik.mat.test[1,]: Ik.mat.test[3,]))
but this doesnt work

Thanks in advance.
Derek



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Re: [R] intersecting rows of a matrix

2008-02-20 Thread dxc13

Thanks Gabor, that works great!


Gabor Grothendieck wrote:
 
 Try this:
 
 do.call(intersection, unname(as.data.frame(t(mat
 
 
 On Wed, Feb 20, 2008 at 6:45 PM, dxc13 [EMAIL PROTECTED] wrote:

 useR's,

 First, I would like to say thanks to John Fox for providing this segment
 of
 code to perform intersection for multiple sets:
 intersection - function(x, y, ...){
if (missing(...)) intersect(x, y)
else intersect(x, intersection(y, ...))
 }

 I want to execute this function on the rows of a matrix I have:
 Ik.mat.test - matrix(c(2,3,6,1,2,6,6,1,2),byrow=T,nrow=3)
  Ik.mat.test
 [,1] [,2] [,3]
 [1,]236
 [2,]126
 [3,]612

 I need to find a way to run the intersection function on the rows of this
 matrix.  The result should be a vector containing 2, 6.
 This works, but I want to find a way to do this for any size matrix.
 intersection(Ik.mat.test[1,],Ik.mat.test[2,], Ik.mat.test[3,])
 So, if the user supplied a matrix with any number of rows, I would like
 to
 be able to run this function.  Any ideas?
 I have tried something like
 do.call(intersection, list(Ik.mat.test[1,]: Ik.mat.test[3,]))
 but this doesnt work

 Thanks in advance.
 Derek



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Re: [R] intersecting rows of a matrix

2008-02-20 Thread dxc13

Thank you, that also works perfectly!  I am not sure which method works more
efficiently, but they are both instantaneous and give the correct result. 
Thanks

Derek



Henrique Dallazuanna wrote:
 
 lk.list-split(lk.mat.test,1:nrow(lk.mat.test))
 names(lk.list)-NULL
 do.call(intersection,lk.list)
 
 2008/2/20, dxc13 [EMAIL PROTECTED]:

 useR's,

 First, I would like to say thanks to John Fox for providing this segment
 of
 code to perform intersection for multiple sets:
 intersection - function(x, y, ...){
  if (missing(...)) intersect(x, y)
  else intersect(x, intersection(y, ...))
 }

 I want to execute this function on the rows of a matrix I have:
 Ik.mat.test - matrix(c(2,3,6,1,2,6,6,1,2),byrow=T,nrow=3)
  Ik.mat.test
  [,1] [,2] [,3]
 [1,]236
 [2,]126
 [3,]612

 I need to find a way to run the intersection function on the rows of this
 matrix.  The result should be a vector containing 2, 6.
 This works, but I want to find a way to do this for any size matrix.
 intersection(Ik.mat.test[1,],Ik.mat.test[2,], Ik.mat.test[3,])
 So, if the user supplied a matrix with any number of rows, I would like
 to
 be able to run this function.  Any ideas?
 I have tried something like
 do.call(intersection, list(Ik.mat.test[1,]: Ik.mat.test[3,]))
 but this doesnt work

 Thanks in advance.
 Derek



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 -- 
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 25° 25' 40 S 49° 16' 22 O
 
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[R] extending code to handle more variables

2008-02-20 Thread dxc13

useR's,

Consider the variables defined below:
yvals - c(25,30,35)
x1 - c(1,2,3)
x2 - c(3,4,5)
x3 - c(6,7,8)
x - as.data.frame(cbind(x1,x2,x3))
delta - c(2.5, 1.5, 0.5)
h - delta/2
vars - 3
xk1 - seq(min(x1)-0.5, max(x1)+0.5, 0.5)
xk2 - seq(min(x2)-0.5, max(x2)+0.5, 0.5)
xk3 - seq(min(x3)-0.5, max(x3)+0.5, 0.5)
xks - list(xk1,xk2,xk3)
xk - do.call(expand.grid, xks)   

I want to perform several calculations with these variables.  For only two
variables, my code is successful, however, here there are three variables
(x1,x2,x3) and there could really be n variables (x1,...xn) if need be. 
Below is code that works for two variables, I want to convert it to work for
any number of variables.  Any ideas?
yk - numeric(nrow(xk))
for (j in 1:nrow(xk)) {
w1 - abs(x[,1] - xk$x1[j])
w2 - abs(x[,2] - xk$x2[j])
Ik1 - which(w1 = h[1])
Ik2 - which(w2 = h[2])
Ik - intersect(Ik1, Ik2)
YIk - yvals[Ik]
yk[j] - mean(YIk) 
}
The result is the one-dimensional vector yk.  Does anyone know how to extend
this code to cover any number of variables?  Thanks in advance.

dxc13
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[R] re stricting points in a data frame

2008-01-30 Thread dxc13

useR's,

Consider some variables and a data frame of points:
x1 - c(1,2,3)
x2 - c(3,4,5)
xk1 - seq(min(x1)-.5, max(x1)+.5,.5)
xk2 - seq(min(x2)-.5, max(x2)+.5,.5)
expand.grid(xk1=xk1,xk2=xk2)

   xk1 xk2
1  0.5 2.5
2  1.0 2.5
3  1.5 2.5
4  2.0 2.5
5  2.5 2.5
6  3.0 2.5
7  3.5 2.5
...
46 2.0 5.5
47 2.5 5.5
48 3.0 5.5
49 3.5 5.5

I want to restrict the data frame to only contain points that are within the
x1 and x2 range.  So for this example, only points between 1 and 3 should be
kept for x1 and values between 3 and 5 should be kept for x2.  This
condition needs to be satisfied for both points, not just one of them; i.e.,
if an x1 point satisfies this, but its corresponding x2 point does not, then
this point should be removed.
Does anyone know a way to do this, in general, for any data frame? 
Hope this is not confusing.
Thanks in advance
dxc13 
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[R] help with levelplot()

2008-01-22 Thread dxc13

useR's,

I want to create a movie of a sin function (from 0 to pi/2) using
levelplot() in the lattice package.  I basically want to create 20 or so
plots of the sin function starting with an amplitude of 0 and ending at
amplitude 1.  By using a loop and plotting these in succession, it will have
the appearance of a movie or animation.  I believe I know how to do this
part, but I am having trouble working with the colors.
I want to use a range of colors starting with light blue (denoting zero) and
progressively getting darker as the amplitude gets closer to 1 (red color). 
Does anyone know a way to do this?

Thanks in advance
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[R] color ranges on a 2D plot

2008-01-16 Thread dxc13

useR's

I am trying to color the points on a scatter plot (code below) with two
colors.  Red for values 0.5 -1.0 and blue for 0.0 - .49.  Does anyone know a
easy way to do this?

x - runif(100, 0, 1)
y - runif(100, 0, 1)
plot(y ~ x, pch=16)

Thanks,
dxc13
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[R] matching values in a list

2008-01-11 Thread dxc13

useR's,

I want to match the real number elements of a list that has 3 matrices as
its elements and then average those numbers.  I think I am close, but I
can't get it to quite work out.  For example,

 a - list(matrix(c(10,NA,NA,12,11,
 10,13,NA,14,12),ncol=2),matrix(c(10,12,15,13,11,
 13,NA,NA,12,10),ncol=2),matrix(c(10,15,NA,13,NA, 13,12,NA,NA,10),ncol=2))
 a
[[1]]
 [,1] [,2]
[1,]   10   10
[2,]   NA   13
[3,]   NA   NA
[4,]   13   14
[5,]   11   12

[[2]]
 [,1] [,2]
[1,]   10   13
[2,]   12   NA
[3,]   15   NA
[4,]   13   12
[5,]   11   10

[[3]]
 [,1] [,2]
[1,]   10   13
[2,]   15   12
[3,]   NA   NA
[4,]   13   NA
[5,]   NA   10

I want to average the non-NA numbers that simultaneously appear in each
column of all 3 matrices.  For the first column, 10 and 13 are the only
numbers that appear in all 3 matrices.  Thus, I want to take the average of
10 and 13.  Then repeat the same process for the second column.  The data
here is only a sample, but with the data I work with, there are many more
columns in each matrix in the list.  Does anyone know a efficient way to do
this?  Maybe using lapply()?  Thanks in advance.

dxc13
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Re: [R] matching values in a list

2008-01-11 Thread dxc13

That's a very creative way to get the results! I haven't used the table
call before, but that certainly made it much easier.  Thanks!


Gabor Grothendieck wrote:
 
 The first line was missing.  It should be:
 
 mat - do.call(rbind, a)
 sapply(apply(mat, 2, table), function(x) mean(as.numeric(names(x))[x
 == length(a)]))
 
 
 On Jan 11, 2008 7:23 PM, Gabor Grothendieck [EMAIL PROTECTED]
 wrote:
 Assume that no component matrix can have repeated values.

 First we apply table to mat yielding a list of named counts.
 To each component of that we sapply the indicated function
 which picks out those that occur length(a) times (so they are
 in every column), converts the name to numeric and averages
 them.

 sapply(apply(mat, 2, table), function(x) mean(as.numeric(names(x))[x
 == length(a)]))

 By the way, note that the a you define is slightly different from the
 a displayed in your post.


 On Jan 11, 2008 6:09 PM, dxc13 [EMAIL PROTECTED] wrote:
 
  useR's,
 
  I want to match the real number elements of a list that has 3 matrices
 as
  its elements and then average those numbers.  I think I am close, but I
  can't get it to quite work out.  For example,
 
   a - list(matrix(c(10,NA,NA,12,11,
   10,13,NA,14,12),ncol=2),matrix(c(10,12,15,13,11,
   13,NA,NA,12,10),ncol=2),matrix(c(10,15,NA,13,NA,
 13,12,NA,NA,10),ncol=2))
   a
  [[1]]
  [,1] [,2]
  [1,]   10   10
  [2,]   NA   13
  [3,]   NA   NA
  [4,]   13   14
  [5,]   11   12
 
  [[2]]
  [,1] [,2]
  [1,]   10   13
  [2,]   12   NA
  [3,]   15   NA
  [4,]   13   12
  [5,]   11   10
 
  [[3]]
  [,1] [,2]
  [1,]   10   13
  [2,]   15   12
  [3,]   NA   NA
  [4,]   13   NA
  [5,]   NA   10
 
  I want to average the non-NA numbers that simultaneously appear in each
  column of all 3 matrices.  For the first column, 10 and 13 are the only
  numbers that appear in all 3 matrices.  Thus, I want to take the
 average of
  10 and 13.  Then repeat the same process for the second column.  The
 data
  here is only a sample, but with the data I work with, there are many
 more
  columns in each matrix in the list.  Does anyone know a efficient way
 to do
  this?  Maybe using lapply()?  Thanks in advance.
 
  dxc13
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[R] changing the values in a list

2008-01-10 Thread dxc13

useR's,

Does anyone know of an efficient way to change the values in a list to
different numbers stored in an object?  For example, consider the following:

y - matrix(c(20, 13, 25, 10, 17), ncol = 1)

 res
[[1]]
  [,1]  [,2]  [,3]  [,4] [,5]  [,6]  [,7] [,8]  [,9] [,10] [,11] [,12]
[,13] [,14]
[1,]   NA   NA   NA 1.25 0.25 0.75   NA   NA   NANANANA  1.25 
0.25
[2,] 1.25 0.25 0.75   NA   NA   NA   NA   NA   NA  1.25  0.25  0.75NA   
NA
[3,]   NA   NA   NA   NA   NA   NA 1.25 0.25 0.75NANANANA   
NA
[4,]   NA   NA 1.25 0.25 0.75   NA   NA   NA   NANANA  1.25  0.25 
0.75
[5,]   NA   NA   NA   NA   NA 1.25 0.25 0.75   NANANANANA   
NA

[[2]]
   [,1] [,2]  [,3] [,4]  [,5]  [,6] [,7]  [,8]  [,9] [,10] [,11] [,12]
[,13] [,14]
[1,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[2,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25  0.25 
0.25
[4,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[5,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA

What I want to do is change the values in each column of the list that are
not NA to their corresponding Y values in the matrix given.  So any real
number in the first position of any column in the list should be changed to
20, the second number would be changed to 13, and so on...
Does anyone know an easy way to do this?
Thanks in advance.

Derek
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Re: [R] changing the values in a list

2008-01-10 Thread dxc13

I will give it a try, thanks for your input!


Peter McMahan wrote:
 
 
 On Jan 10, 2008, at 9:48 PM, Peter McMahan wrote:
 
 y - matrix(rep(y,ncol(x)),nrow=nrow(y))
 x[is.na(x)] - y[is.na(x)]
 
 oops, i meant:
 y - matrix(rep(y,ncol(res)),nrow=nrow(y))
 res[is.na(res)] - y[is.na(res)]
 
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[R] using lapply()

2008-01-08 Thread dxc13

useR's,

I am trying to find a quick way to change some values in a list that are
subject to a condition to be NA.  Consider the 3x1 matrix:

delta - matrix(c(2.5,2.5,1), nrow = 1)

And consider the list named v that has 3 elements
 v 
v[[1]]
   [,1] [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8] [,9] [,10]  [,11] [,12]
[,13] [,14]
[1,] 4.25 3.25 2.25 1.25 0.25 0.75 1.75 2.75 3.75  4.25  3.25  2.25  1.25 
0.25
[2,] 1.25 0.25 0.75 1.75 2.75 3.75 4.75 5.75 6.75  1.25  0.25  0.75  1.75 
2.75
[3,] 7.25 6.25 5.25 4.25 3.25 2.25 1.25 0.25 0.75  7.25  6.25  5.25  4.25 
3.25
[4,] 3.25 2.25 1.25 0.25 0.75 1.75 2.75 3.75 4.75  3.25  2.25  1.25  0.25 
0.75
[5,] 6.25 5.25 4.25 3.25 2.25 1.25 0.25 0.75 1.75  6.25  5.25  4.25  3.25 
2.25

v[[2]]
   [,1]  [,2]  [,3] [,4]  [,5]  [,6]  [,7]  [,8] [,9] [,10] [,11]  [,12]
[,13] [,14]
[1,] 9.25 9.25 9.25 9.25 9.25 9.25 9.25 9.25 9.25  8.25  8.25  8.25  8.25 
8.25
[2,] 7.25 7.25 7.25 7.25 7.25 7.25 7.25 7.25 7.25  6.25  6.25  6.25  6.25 
6.25
[3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25  0.25 
0.25
[4,] 4.25 4.25 4.25 4.25 4.25 4.25 4.25 4.25 4.25  3.25  3.25  3.25  3.25 
3.25
[5,] 6.25 6.25 6.25 6.25 6.25 6.25 6.25 6.25 6.25  5.25  5.25  5.25  5.25 
5.25

v[[3]]
  [,1] [,2]  [,3] [,4] [,5] [,6] [,7] [,8]  [,9] [,10] [,11] [,12] [,13]
[,14]
[1,]  0.5  0.5  0.5  0.5  0.5  0.5  0.5  0.5  0.5   0.5   0.5   0.5   0.5  
0.5
[2,]  1.5  1.5  1.5  1.5  1.5  1.5  1.5  1.5  1.5   1.5   1.5   1.5   1.5  
1.5
[3,]  2.5  2.5  2.5  2.5  2.5  2.5  2.5  2.5  2.5   2.5   2.5   2.5   2.5  
2.5
[4,]  3.5  3.5  3.5  3.5  3.5  3.5  3.5  3.5  3.5   3.5   3.5   3.5   3.5  
3.5
[5,]  4.5  4.5  4.5  4.5  4.5  4.5  4.5  4.5  4.5   4.5   4.5   4.5   4.5  
4.5

The first element of the matrix delta (2.5) corresponds to the first list
element v[[1]], and so on...

What I want to do is to set any values in this list that are greater than
its corresponding delta to be NA.  For example, if any value in v[[1]] is
greater than 2.5 than set it to NA, and similarly for v[[2]].  If any value
in v[[3]] is  1, then set it NA.

Can this be done using lapply or some other quick, efficient way?  Hope this
makes sense.
Thanks,

Derek
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Re: [R] using lapply()

2008-01-08 Thread dxc13

Thank you, this works perfectly!




Dimitris Rizopoulos wrote:
 
 try the following:
 
 delta - c(2.5, 2.5, 1)
 v - list(
 matrix(round(rnorm(70, 2), 2), 5, 14),
 matrix(round(rnorm(70, 2), 2), 5, 14),
 matrix(round(rnorm(70, 2), 1), 5, 14)
 )
 
 v
 mapply(function(x, y){ x[x  y] - NA; x }, v, delta, SIMPLIFY = 
 FALSE)
 
 
 I hope it helps.
 
 Best,
 Dimitris
 
 
 Dimitris Rizopoulos
 Ph.D. Student
 Biostatistical Centre
 School of Public Health
 Catholic University of Leuven
 
 Address: Kapucijnenvoer 35, Leuven, Belgium
 Tel: +32/(0)16/336899
 Fax: +32/(0)16/337015
 Web: http://med.kuleuven.be/biostat/
  http://www.student.kuleuven.be/~m0390867/dimitris.htm
 
 
 - Original Message - 
 From: dxc13 [EMAIL PROTECTED]
 To: r-help@r-project.org
 Sent: Tuesday, January 08, 2008 6:11 PM
 Subject: [R] using lapply()
 
 

 useR's,

 I am trying to find a quick way to change some values in a list that 
 are
 subject to a condition to be NA.  Consider the 3x1 matrix:

 delta - matrix(c(2.5,2.5,1), nrow = 1)

 And consider the list named v that has 3 elements
 v
 v[[1]]
   [,1] [,2]  [,3]  [,4]  [,5]  [,6]  [,7]  [,8] [,9] [,10] 
 [,11] [,12]
 [,13] [,14]
 [1,] 4.25 3.25 2.25 1.25 0.25 0.75 1.75 2.75 3.75  4.25  3.25  2.25 
 1.25
 0.25
 [2,] 1.25 0.25 0.75 1.75 2.75 3.75 4.75 5.75 6.75  1.25  0.25  0.75 
 1.75
 2.75
 [3,] 7.25 6.25 5.25 4.25 3.25 2.25 1.25 0.25 0.75  7.25  6.25  5.25 
 4.25
 3.25
 [4,] 3.25 2.25 1.25 0.25 0.75 1.75 2.75 3.75 4.75  3.25  2.25  1.25 
 0.25
 0.75
 [5,] 6.25 5.25 4.25 3.25 2.25 1.25 0.25 0.75 1.75  6.25  5.25  4.25 
 3.25
 2.25

 v[[2]]
   [,1]  [,2]  [,3] [,4]  [,5]  [,6]  [,7]  [,8] [,9] [,10] [,11] 
 [,12]
 [,13] [,14]
 [1,] 9.25 9.25 9.25 9.25 9.25 9.25 9.25 9.25 9.25  8.25  8.25  8.25 
 8.25
 8.25
 [2,] 7.25 7.25 7.25 7.25 7.25 7.25 7.25 7.25 7.25  6.25  6.25  6.25 
 6.25
 6.25
 [3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25 
 0.25
 0.25
 [4,] 4.25 4.25 4.25 4.25 4.25 4.25 4.25 4.25 4.25  3.25  3.25  3.25 
 3.25
 3.25
 [5,] 6.25 6.25 6.25 6.25 6.25 6.25 6.25 6.25 6.25  5.25  5.25  5.25 
 5.25
 5.25

 v[[3]]
  [,1] [,2]  [,3] [,4] [,5] [,6] [,7] [,8]  [,9] [,10] [,11] 
 [,12] [,13]
 [,14]
 [1,]  0.5  0.5  0.5  0.5  0.5  0.5  0.5  0.5  0.5   0.5   0.5   0.5 
 0.5
 0.5
 [2,]  1.5  1.5  1.5  1.5  1.5  1.5  1.5  1.5  1.5   1.5   1.5   1.5 
 1.5
 1.5
 [3,]  2.5  2.5  2.5  2.5  2.5  2.5  2.5  2.5  2.5   2.5   2.5   2.5 
 2.5
 2.5
 [4,]  3.5  3.5  3.5  3.5  3.5  3.5  3.5  3.5  3.5   3.5   3.5   3.5 
 3.5
 3.5
 [5,]  4.5  4.5  4.5  4.5  4.5  4.5  4.5  4.5  4.5   4.5   4.5   4.5 
 4.5
 4.5

 The first element of the matrix delta (2.5) corresponds to the first 
 list
 element v[[1]], and so on...

 What I want to do is to set any values in this list that are greater 
 than
 its corresponding delta to be NA.  For example, if any value in 
 v[[1]] is
 greater than 2.5 than set it to NA, and similarly for v[[2]].  If 
 any value
 in v[[3]] is  1, then set it NA.

 Can this be done using lapply or some other quick, efficient way? 
 Hope this
 makes sense.
 Thanks,

 Derek
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[R] using mapply()

2008-01-08 Thread dxc13

useR's,

This is a follow up question to one I previously asked.  Consider the
3-element list below

 res
[[1]]
   [,1] [,2]  [,3]  [,4]  [,5] [,6]  [,7] [,8]  [,9] [,10] [,11] [,12]
[,13] [,14]
[1,]   NA   NA   NA 1.25 0.25 0.75   NA   NA   NANANANA  1.25 
0.25
[2,] 1.25 0.25 0.75   NA   NA   NA   NA   NA   NA  1.25  0.25  0.75NA   
NA
[3,]   NA   NA   NA   NA   NA   NA 1.25 0.25 0.75NANANANA   
NA
[4,]   NA   NA 1.25 0.25 0.75   NA   NA   NA   NANANA  1.25  0.25 
0.75
[5,]   NA   NA   NA   NA   NA 1.25 0.25 0.75   NANANANANA   
NA

[[2]]
   [,1] [,2]  [,3] [,4]  [,5] [,6]  [,7]  [,8] [,9] [,10] [,11] [,12]
[,13] [,14]
[1,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
1.25
[2,] 1.25   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25  0.25 
0.25
[4,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[5,]   NA   NA   NA   NA   NA  1.25   NA   NA   NANANANANA   
NA

[[3]]
   [,1] [,2]  [,3]  [,4] [,5] [,6]  [,7]  [,8] [,9] [,10] [,11] [,12]
[,13]  [,14]
[1,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
1.25
[2,] 0.25   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25  0.25 
0.25
[4,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA   
NA
[5,]   NA   NA   NA   NA   NA  0.25   NA   NA   NANANANANA   
NA

What I want to do is find the values that are not NA simultaneously for each
value in each element of the list, and then average these numbers and store
them in a 14x1 vector.  For example, in position (2,1) in each of the 3
elements of the res list, there is a value, 1.25 in [[1]] and [[2]], 0.25 in
[[3]].  Since there is a value in this position in all elements of the list
I want to average these numbers: (1.25+1.25+0.25)/3 and store this value in
a numeric vector.   So, if there are not 3 values to average, this means
that a given position (i,j) does not have a value in each element of the
list and thus I want to store NA in the 14x1 vector.  In the end, the 14x1
vector will be mixed with values and NA's or NaN's.

Does anyone know a efficient way to do this?  Maybe using mapply()?  I hope
it is clear.  Thank you for any input.

Derek
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Re: [R] using mapply()

2008-01-08 Thread dxc13

Yes, that's it.  Thank you again!



Dimitris Rizopoulos wrote:
 
 do you mean the following?:
 
 out - rowMeans(matrix(unlist(res), ncol = length(res)))
 dim(out) - dim(res[[1]])
 out
 
 
 Best,
 Dimitris
 
 
 Dimitris Rizopoulos
 Ph.D. Student
 Biostatistical Centre
 School of Public Health
 Catholic University of Leuven
 
 Address: Kapucijnenvoer 35, Leuven, Belgium
 Tel: +32/(0)16/336899
 Fax: +32/(0)16/337015
 Web: http://med.kuleuven.be/biostat/
   http://www.student.kuleuven.be/~m0390867/dimitris.htm
 
 
 Quoting dxc13 [EMAIL PROTECTED]:
 

 useR's,

 This is a follow up question to one I previously asked.  Consider the
 3-element list below

 res
 [[1]]
[,1] [,2]  [,3]  [,4]  [,5] [,6]  [,7] [,8]  [,9] [,10] [,11]
 [,12]
 [,13] [,14]
 [1,]   NA   NA   NA 1.25 0.25 0.75   NA   NA   NANANANA  1.25
 0.25
 [2,] 1.25 0.25 0.75   NA   NA   NA   NA   NA   NA  1.25  0.25  0.75NA
 NA
 [3,]   NA   NA   NA   NA   NA   NA 1.25 0.25 0.75NANANANA
 NA
 [4,]   NA   NA 1.25 0.25 0.75   NA   NA   NA   NANANA  1.25  0.25
 0.75
 [5,]   NA   NA   NA   NA   NA 1.25 0.25 0.75   NANANANANA
 NA

 [[2]]
[,1] [,2]  [,3] [,4]  [,5] [,6]  [,7]  [,8] [,9] [,10] [,11] [,12]
 [,13] [,14]
 [1,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA
 1.25
 [2,] 1.25   NA   NA   NA   NA   NA   NA   NA   NANANANANA
 NA
 [3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25  0.25
 0.25
 [4,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA
 NA
 [5,]   NA   NA   NA   NA   NA  1.25   NA   NA   NANANANA   
 NA
 NA

 [[3]]
[,1] [,2]  [,3]  [,4] [,5] [,6]  [,7]  [,8] [,9] [,10] [,11] [,12]
 [,13]  [,14]
 [1,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA
 1.25
 [2,] 0.25   NA   NA   NA   NA   NA   NA   NA   NANANANANA
 NA
 [3,] 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25 1.25  0.25  0.25  0.25  0.25
 0.25
 [4,]   NA   NA   NA   NA   NA   NA   NA   NA   NANANANANA
 NA
 [5,]   NA   NA   NA   NA   NA  0.25   NA   NA   NANANANA   
 NA
 NA

 What I want to do is find the values that are not NA simultaneously for
 each
 value in each element of the list, and then average these numbers and
 store
 them in a 14x1 vector.  For example, in position (2,1) in each of the 3
 elements of the res list, there is a value, 1.25 in [[1]] and [[2]], 0.25
 in
 [[3]].  Since there is a value in this position in all elements of the
 list
 I want to average these numbers: (1.25+1.25+0.25)/3 and store this value
 in
 a numeric vector.   So, if there are not 3 values to average, this means
 that a given position (i,j) does not have a value in each element of the
 list and thus I want to store NA in the 14x1 vector.  In the end, the
 14x1
 vector will be mixed with values and NA's or NaN's.

 Does anyone know a efficient way to do this?  Maybe using mapply()?  I
 hope
 it is clear.  Thank you for any input.

 Derek
 --
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 http://www.nabble.com/using-mapply%28%29-tp14697351p14697351.html
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[R] Avoiding FOR loops

2008-01-06 Thread dxc13

useR's,

I would like to know if there is a way to avoid using FOR loops to perform
the below calculation. 

Consider the following data:

 x
 [,1] [,2] [,3]
[1,]4   111
[2,]192
[3,]733
[4,]364
[5,]685

 xk
 Var1  Var2 Var3
1   -0.25  1.75  0.5
20.75  1.75  0.5
31.75  1.75  0.5
42.75  1.75  0.5
53.75  1.75  0.5
64.75  1.75  0.5
75.75  1.75  0.5
86.75  1.75  0.5
97.75  1.75  0.5
10  -0.25  2.75  0.5

Here, X is a matrix of 3 variables in which each is of size 5 and XK are
some values that correspond to each variable.  For each variable, I want to
do:

|Xi - xkj|   where i = 1 to 3 and j = 1 to 10

It looks as if a double FOR loop would work, but can the apply function
work?  Or some other function that is shorter than a FOR loop?  Thank you, I
hope this makes sense.

Derek


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[R] expand.grid function

2007-12-23 Thread dxc13

useR's,

I have used expand.grid() several times and like the results it gives me.  I
am now trying something with it that I have not been able to get to work. 
For any n column matrix I would like to run this function on those n columns
and store the results.
For example, if my matrix has 1 column then this is just expand.grid(x =
column1).  If my matrix has two columns, then I want expand.grid(x =
column1, y = column2), and so on for any number of columns...

In a program I am writing, the user can specify any matrix.  Does anyone
know of a way for R to calculate this based on what the input matrix is? 
e.g. if this user gives a 3 column matrix, I want to be able to perform
expand.grid() on these 3 columns without having to hard code it b/c I want
to have this small function embedded in my code and the results stored as a
variable.

If this isn't clear, I can try to be more detailed.  Thank you for any
thoughts.

Derek 
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Re: [R] expand.grid function

2007-12-23 Thread dxc13

Yes, that works perfectly.  Thank you for your help!

Derek



Charilaos Skiadas-3 wrote:
 
 Hi Derek,
 On Dec 23, 2007, at 10:59 PM, dxc13 wrote:
 

 useR's,

 I have used expand.grid() several times and like the results it  
 gives me.  I
 am now trying something with it that I have not been able to get to  
 work.
 For any n column matrix I would like to run this function on those  
 n columns
 and store the results.
 For example, if my matrix has 1 column then this is just expand.grid 
 (x =
 column1).  If my matrix has two columns, then I want expand.grid(x =
 column1, y = column2), and so on for any number of columns...

 
 Does this do what you want  (x is the matrix)?
 
 do.call(expand.grid, as.data.frame(x))
 
 
 In a program I am writing, the user can specify any matrix.  Does  
 anyone
 know of a way for R to calculate this based on what the input  
 matrix is?
 e.g. if this user gives a 3 column matrix, I want to be able to  
 perform
 expand.grid() on these 3 columns without having to hard code it b/c  
 I want
 to have this small function embedded in my code and the results  
 stored as a
 variable.

 If this isn't clear, I can try to be more detailed.  Thank you for any
 thoughts.

 Derek
 
 Haris Skiadas
 Department of Mathematics and Computer Science
 Hanover College
 
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