On 02/28/2013 05:40 PM, Steve Taylor wrote:
Does anyone know if there's an easy facility to create and specify a template
file to be used for new R scripts?
I found myself creating this function which works well (in RStudio on Windows).
newR =
On 10/18/2012 09:57 AM, Fisher Dennis wrote:
R 2.15.1
OS X
Colleagues,
I am reading a 1 GB file into R using read.table. The file consists of 100
tables, each of which is headed by two lines of characters.
The first of these lines is:
TABLE NO. 1
The second is a list of column
On 05/17/2012 06:30 AM, jackl wrote:
Hi..
Ok here is an example on how I wanted the tree to be implemented in R:
- the tree is, as you wrote, saved as a list of different tree levels
- each tree level is also saved as a list of different nodes in that
specific level
- and for the last part,
Why not use the pre-compiled RPM's from EPEL (
http://fedoraproject.org/wiki/EPEL )?
Version 2.14 of R is still in the testing folder here:
http://download.fedora.redhat.com/pub/epel/testing/5/
Jason
On 01/20/2012 02:34 PM, Erik Wright wrote:
Hello,
I am trying to upgrade to the latest R
I'm not sure if this is appropriate. If the sum of your variables is
always the same constant, then you might try a Ternary plot (
http://en.wikipedia.org/wiki/Ternary_plot ).
The vcd package can make ternary plots.
On 01/20/2012 02:56 PM, Roary wrote:
I have two observed categorical
At first, I thought that RDF and SDMX were two competing standards and
was disheartened, but it appears that there is collaboration between
them, yay!
http://groups.google.com/group/publishing-statistical-data/browse_thread/thread/531b1b5a73397c1c?pli=1
On 01/15/2012 08:31 AM, Benjamin Weber
Web services are only part of the problem. In essence, there are at
least two facets:
1. downloading the data using some protocol
2. mapping the data to a common model
Having #1 makes the import/download easier, but it really becomes useful
when both are included. I think #2 is the harder
HI,
Happy to oblidge:
Background: All data is dirty to some degree. A large portion of the
time spent in doing data analysis is spent doing data cleaning (removing
invalid data, transforming data columns into something useful). When
data from multiple sources are used, then some time must be
Hello Jay,
Did you find the answer to your question on incremental machine
learning? If not, I found some links that might help:
It appears that might be able to do streaming/incremental machine
learning in Weka:
http://moa.cs.waikato.ac.nz/details/classification/using-weka/
On the above
I already provided the link to the task view, which provides a list of
the more popular machine learning algorithms for R.
Do you have a particular algorithm or technique in mind? Does it have a
name?
How does sequential classification differ form running a one-off
classifier for each run?
Try this:
http://cran.r-project.org/web/views/MachineLearning.html
On 09/11/2011 12:43 PM, Jay wrote:
Hi,
I used the rseek search engine to look for suitable solutions, however
as I was unable to find anything useful, I'm asking for help.
Anybody have experience with these kinds of problems?
On 07/21/2011 07:18 PM, karena wrote:
Hi,
I want to generate multiple sets of random numbers.
The requirement is that:
1) each set have 3 random numbers;
2) the sum of the three number is always 1.
how to do this?
Try this:
df-data.frame(a=runif(10),b=runif(10))
df$c=df$a+df$b
On 07/21/2011 08:04 PM, Jason Edgecombe wrote:
On 07/21/2011 07:18 PM, karena wrote:
Hi,
I want to generate multiple sets of random numbers.
The requirement is that:
1) each set have 3 random numbers;
2) the sum of the three number is always 1.
how to do this?
Try this:
df-data.frame
Hello,
I have logging information for multiple machines, which I am trying to
summarize and graph. So far, I process each host individually, but I
would like to summarize the user count across multiple hosts. I want to
answer the question how many unique users logged in on a certain day
is it easy
to create a report of the number of unique people over time.
On Tue, Jan 11, 2011 at 10:47 AM, Jason Edgecombe
ja...@rampaginggeek.com wrote:
Hello,
I have logging information for multiple machines, which I am trying to
summarize and graph. So far, I process each host individually, but I
On 01/09/2011 04:00 PM, casshyr wrote:
This is a generalize question: basically, say you are typing a long line of
command in R console, and then you realize you forgot to add something in
the beginning, is there a way to get to the beginning of the line without
pressing the left key on the
Try:
df1 = read.csv('result.csv', header=TRUE)
df1
Jason
On 12/31/2010 03:19 AM, Amy Milano wrote:
Please read - http://127.0.0.1:24408/library/base/html/colnames.html
I am trying to give an example. I am not a programmer and I am sure the R
stalwarts will have better ways to do it.
#
Hi,
I have the following code:
hist(gps$heartpercent, breaks=5)
rect(90, par(usr)[3], 100, par(usr)[4], col = red)
How do I get the rectangle to appear behind the histogram. Barring that,
how can I make certain bars of the histogram to be a certain color?
Thanks,
Jason
Hi Everyone,
I have a some data from a sports gps device like the following:
time latitude longitude altitude distance heartrate
1 1277648884 0.304048 -0.793819 260 0.0094
2 1277648885 0.304056 -0.793772 262 4.30761595
3 127764 0.304060 -0.793696
On 11/29/2010 10:00 AM, Gabor Grothendieck wrote:
On Mon, Nov 29, 2010 at 9:45 AM, Jason Edgecombe
ja...@rampaginggeek.com wrote:
Hi Everyone,
I have a some data from a sports gps device like the following:
time latitude longitude altitude distance heartrate
1 1277648884
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