some suggested and remove the copy in the first
directory but that was the only copy that I have on the machine.
Can someone give me a direction on how I can solve this problem?
Thanks in advance.
MK
R version 2.13.1 (2011-07-08)
Copyright (C) 2011 The R Foundation for Statistical Computing
I
Pardon my ignorance, but why is the do.call necessary? why not just execute
the rbind function? What's the advantage in putting it in a do.call "wrapper"?
On Sep 20, 2011, at 2:44 PM, William Dunlap wrote:
> In S+ do.call's first argument must be a character string
> that gives the name of
Hi,
How do I use the subset function without losing the attributes?
For example,
test.df <- data.frame(a = rnorm(100), b = runif(100), c = rexp(100))
attr(test.df[, 1], "units") <- c("cm")
attr(test.df[, 2], "units") <- c("kg")
attr(test.df[, 3], "units") <- c("ha")
## We want this behavior
s
Very simple
mat[!duplicated(mat[, 1]), ]
M
On 26/07/12 06:50, Zhongyi Yuan wrote:
Dear R Users,
I apology for not being able to provide an adequately informative subject.
Let me describe my problem with an example.
For a matrix
*(mat <- matrix(c(1,1,2,2,2,3,3, 5,9,1,3,7,4,8), ncol = 2))*
I don't think it is provided and gamma is neither a special case of ghyp
nor ged.
Is there a reason for you to use the gamma distribution? The gamma
distribution only has support for positive number and thus impossible
for stock return.
Cheers,
M
On 26/07/12 09:52, saraberta wrote:
Hi guys
Have you seen r2wd?
http://www.r-bloggers.com/exporting-r-output-to-ms-word-with-r2wd-an-example-session/
On Jan 1, 2012, at 10:50 AM, Michael wrote:
> Happy New Year all!
>
> I am looking for a good solution for keeping record of my experiments -
> could you please help me?
>
> My work is
The WDI package on CRAN already provide access to the World Bank data
through their API, we also have an inhouse package for FAOSTAT here at
FAO but it is not mature enough to be released on CRAN yet.
Not sure about other international organisations but I do agree that it
would be nice if ther
Assuming you want the whole data matrix coming from a single distribution.
matrix(rnorm(20 *30, 3, 1), 20, 30)
On 30/01/12 06:33, Partha Sinha wrote:
I want to generate a data matrix (20*30) having mean 3 and std
deviation 1 (normal dist).
pl help
Partha
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