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 = function(filename=tempfile(tmpdir='.',fileext='.R'
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 header
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, ea
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 variab
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 r
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 w
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 b
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 probl
is a new low. I was hoping to get help, oblivious I was wrong
to use this forum in the hopes of somebody had already battled these
kinds of problems in R.
On Sep 13, 1:52 am, Jason Edgecombe wrote:
I already provided the link to the task view, which provides a list of
the more popular
On Sun, Sep 11, 2011 at 11:33 PM, Jay wrote:
If the answer is so obvious, could somebody please spell it out?
On Sep 11, 10:59 pm, Jason Edgecombe wrote:
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 en
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? I
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.fr
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$b
d
d for them. With that information is it easy
to create a report of the number of unique people over time.
On Tue, Jan 11, 2011 at 10:47 AM, Jason Edgecombe
wrote:
Hello,
I have logging information for multiple machines, which I am trying to
summarize and graph. So far, I process each host ind
Hello,
I have logging information for multiple machines, which I am trying to
summarize and graph. So far, I process each host individually, but I
would like to summarize the user count across multiple hosts. I want to
answer the question "how many unique users logged in on a certain day
acro
On 01/09/2011 04:00 PM, casshyr wrote:
This is a generalize question: basically, say you are typing a long line of
command in R console, and then you realize you forgot to add something in
the beginning, is there a way to get to the beginning of the line without
pressing the "left" key on the key
Try:
df1 = read.csv('result.csv', header=TRUE)
df1
Jason
On 12/31/2010 03:19 AM, Amy Milano wrote:
Please read - http://127.0.0.1:24408/library/base/html/colnames.html
I am trying to give an example. I am not a programmer and I am sure the R
stalwarts will have better ways to do it.
# Supp
Hi,
I have the following code:
hist(gps$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
___
On 11/29/2010 10:00 AM, Gabor Grothendieck wrote:
On Mon, Nov 29, 2010 at 9:45 AM, Jason Edgecombe
wrote:
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
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
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