Mark wrote:
Currently my data is one experiment per row, but that's
wasting space as most experiments only take 20% of the row
and 80% of the row is filled with 0's. I might want to make
the array more narrow and have a flag somewhere in the 1st
10 columns that says the
On Wed, Jul 8, 2009 at 10:51 AM, Michael A. Millermmill...@iupui.edu wrote:
Mark wrote:
Currently my data is one experiment per row, but that's
wasting space as most experiments only take 20% of the row
and 80% of the row is filled with 0's. I might want to make
the array
Hi
r-help-boun...@r-project.org napsal dne 06.07.2009 01:58:38:
On Sun, Jul 5, 2009 at 1:44 PM, hadley wickhamh.wick...@gmail.com
wrote:
I think the root cause of a number of my coding problems in R right
now is my lack of skills in reading and grabbing portions of the data
out of
Hi. As I said in my first email, converting your data into a long
format makes a lot of sense. I'm sorry that you find it hard ... to
understand why this would make plotting easier.
Wide format:
Subject ID, Experiment ID, humidity, light, whatever, T1, T2,T3,T4.
is much better rotated to be
Hi Mark,
Don't be the least bit sorry that I'm finding any of this hard to
understand. That's my problem. I ordered the Phil Spektor's Data
Manipulation with R (Use R) book last night as I realize I need to go
through some sort of training. Hopefully that will help clear up some
of my questions
Hi. Essentially your data is currently in wide format, with repeated
measures in different columns. For most analysis and in particular for
graphing, it is frequently helpful to reshape your data into a long
format, with one row per data value and additional variables to list
experiment or subject
On Sat, Jul 4, 2009 at 5:22 PM, jim holtmanjholt...@gmail.com wrote:
See if this example helps; show how to either plot the row or columns
of a data frame:
test - data.frame(C1=runif(10), C2=runif(10), C3=runif(10))
test
C1 C2 C3
1 0.91287592 0.3390729 0.4346595
2
On Sun, Jul 5, 2009 at 12:00 AM, Mark Wardlem...@wardle.org wrote:
Hi. Essentially your data is currently in wide format, with repeated
measures in different columns. For most analysis and in particular for
graphing, it is frequently helpful to reshape your data into a long
format, with one
On Jul 5, 2009, at 9:53 AM, Mark Knecht wrote:
On Sat, Jul 4, 2009 at 5:22 PM, jim holtmanjholt...@gmail.com wrote:
See if this example helps; show how to either plot the row or columns
of a data frame:
test - data.frame(C1=runif(10), C2=runif(10), C3=runif(10))
test
C1C2
David Winsemius wrote:
On Jul 5, 2009, at 9:53 AM, Mark Knecht wrote:
On Sat, Jul 4, 2009 at 5:22 PM, jim holtmanjholt...@gmail.com wrote:
See if this example helps; show how to either plot the row or columns
of a data frame:
test - data.frame(C1=runif(10), C2=runif(10), C3=runif(10))
On Sun, Jul 5, 2009 at 7:35 AM, David Winsemiusdwinsem...@comcast.net wrote:
On Jul 5, 2009, at 9:53 AM, Mark Knecht wrote:
On Sat, Jul 4, 2009 at 5:22 PM, jim holtmanjholt...@gmail.com wrote:
See if this example helps; show how to either plot the row or columns
of a data frame:
test -
On Jul 5, 2009, at 10:50 AM, Uwe Ligges wrote:
David Winsemius wrote:
So if your values are calculated from other values then consider
using all.equal()
And repeated applications of the testing criteria process are
effective:
test[3,][which(names(test)==C1):(which(test[3,] == 0.0)-1)]
On Sun, Jul 5, 2009 at 8:18 AM, David Winsemiusdwinsem...@comcast.net wrote:
On Jul 5, 2009, at 10:50 AM, Uwe Ligges wrote:
David Winsemius wrote:
So if your values are calculated from other values then consider using
all.equal()
And repeated applications of the testing criteria process
On Jul 5, 2009, at 12:19 PM, Mark Knecht wrote:
On Sun, Jul 5, 2009 at 8:18 AM, David
Winsemiusdwinsem...@comcast.net wrote:
On Jul 5, 2009, at 10:50 AM, Uwe Ligges wrote:
David Winsemius wrote:
So if your values are calculated from other values then consider
using
all.equal()
And
David Winsemius wrote:
On Jul 5, 2009, at 12:19 PM, Mark Knecht wrote:
On Sun, Jul 5, 2009 at 8:18 AM, David
Winsemiusdwinsem...@comcast.net wrote:
On Jul 5, 2009, at 10:50 AM, Uwe Ligges wrote:
David Winsemius wrote:
So if your values are calculated from other values then consider
2009/7/5 Uwe Ligges lig...@statistik.tu-dortmund.de:
David Winsemius wrote:
On Jul 5, 2009, at 12:19 PM, Mark Knecht wrote:
On Sun, Jul 5, 2009 at 8:18 AM, David Winsemiusdwinsem...@comcast.net
wrote:
On Jul 5, 2009, at 10:50 AM, Uwe Ligges wrote:
David Winsemius wrote:
So if your
On Jul 5, 2009, at 1:19 PM, Uwe Ligges wrote:
snippedpreample
test - data.frame(A=1:10, B=100, C1=runif(10), C2=runif(10),
C3=runif(10), C4=runif(10), C5=runif(10), C6=runif(10))
test-round(test,2)
#Make array ragged
test$C3[2]-0;test$C4[2]-0;test$C5[2]-0;test$C6[2]-0
David Winsemius wrote:
On Jul 5, 2009, at 1:19 PM, Uwe Ligges wrote:
snippedpreample
test - data.frame(A=1:10, B=100, C1=runif(10), C2=runif(10),
C3=runif(10), C4=runif(10), C5=runif(10), C6=runif(10))
test-round(test,2)
#Make array ragged
Try this:
subset(test[3,], select=C1:C6)[,subset(test[3,], select = C1:C6) 0]
subset(test[6,], select=C1:C6)[,subset(test[6,], select = C1:C6) 0]
On Sun, Jul 5, 2009 at 1:19 PM, Mark Knecht markkne...@gmail.com wrote:
On Sun, Jul 5, 2009 at 8:18 AM, David Winsemiusdwinsem...@comcast.net
On Sun, Jul 5, 2009 at 12:30 PM, Henrique Dallazuannawww...@gmail.com wrote:
Try this:
subset(test[3,], select=C1:C6)[,subset(test[3,], select = C1:C6) 0]
subset(test[6,], select=C1:C6)[,subset(test[6,], select = C1:C6) 0]
I must admit I like this one. Pleasing to look at. It seems
Yes,
First, select only columns C1 to C6, then look for values greater than 0,
after use this to select the columns in original subset.
On Sun, Jul 5, 2009 at 4:48 PM, Mark Knecht markkne...@gmail.com wrote:
On Sun, Jul 5, 2009 at 12:30 PM, Henrique Dallazuannawww...@gmail.com
wrote:
Try
On Sun, Jul 5, 2009 at 1:00 PM, Henrique Dallazuannawww...@gmail.com wrote:
Yes,
First, select only columns C1 to C6, then look for values greater than 0,
after use this to select the columns in original subset.
On Sun, Jul 5, 2009 at 4:48 PM, Mark Knecht markkne...@gmail.com wrote:
On
I think the root cause of a number of my coding problems in R right
now is my lack of skills in reading and grabbing portions of the data
out of arrays. I'm new at this. (And not a programmer) I need to find
some good examples to read and test on that subject. If I could locate
which column
On Sun, Jul 5, 2009 at 1:44 PM, hadley wickhamh.wick...@gmail.com wrote:
I think the root cause of a number of my coding problems in R right
now is my lack of skills in reading and grabbing portions of the data
out of arrays. I'm new at this. (And not a programmer) I need to find
some good
At 10:42 AM -0700 7/5/09, Mark Knecht wrote:
2009/7/5 Uwe Ligges lig...@statistik.tu-dortmund.de:
- a lot of other conversation omitted, to focus on the following
Currently my data is one experiment per row, but that's wasting space
as most experiments only take 20% of the row and 80% of
OK, I guess I'm getting better at the data part of R. I wrote a
program outside of R this morning to dump a bunch of experimental
data. It's a sort of ragged array - about 700 rows and 400 columns,
but the amount of data in each column varies based on the length of
the experiment. The real data
See if this example helps; show how to either plot the row or columns
of a data frame:
test - data.frame(C1=runif(10), C2=runif(10), C3=runif(10))
test
C1C2C3
1 0.91287592 0.3390729 0.4346595
2 0.29360337 0.8394404 0.7125147
3 0.45906573 0.3466835 0.344
4
27 matches
Mail list logo
