Thank you!
On Sat, May 9, 2009 at 11:31 AM, Ted Harding
wrote:
> On 09-May-09 16:10:42, Jacques Wagnor wrote:
>> Dear List,
>> When I plot a histogram with 'freq=FALSE' and overlay the
>> histogram with a normal pdf curve, everything looks as expected,
>&
Dear List,
When I plot a histogram with 'freq=FALSE' and overlay the histogram
with a normal pdf curve, everything looks as expected, as follows:
x <- rnorm(1000)
hist(x, freq=FALSE)
curve(dnorm(x), add=TRUE, col="blue")
What do I need to do if I want to show the frequencies (freq=TRUE)
with the
Dear List,
Does there exist a function that produces a heat map like this one
(image 3 of 4):
http://www.tdameritrade.com/tradingtools/options360.html?a=HDY&referrer=http%3A%2F%2Fquery.nytimes.com%2Fsearch%2Fsitesearch%3Fquery%3Dheatmaptype%3Dnyt
In addition to colors, two other main features I
Dear List,
Does there exist a function that calculates a cumulative average?
Neither running() from library(gregmisc) nor running.mean() from
library(igraph) seems to be able to give a cumulative average.
Any help or pointers would be greatly appreciated.
Jacques
___
9.60 9.83 8.714286
> 10.00 10.89 10.30
> [11] 10.727273 10.916667 10.307692 11.00 10.87 11.062500 10.823529
> 10.78 10.842105 10.50
>>
>
>
> On Wed, May 21, 2008 at 9:48 PM, Jacques Wagnor <[EMAIL PROTECTED]>
> wrote:
>
>>
Dear List,
Does there exist a function that calculates a cumulative average?
Neither running() from library(gregmisc) nor running.mean() from
library(igraph) seems to be able to give a cumulative average.
Any help or pointers would be greatly appreciated.
Jacques
___
possible) or do you want to use a non-parametric
> interval, keeping the assumptions as weak as possible (in which case,
> inverting the sign test might be appropriate)?
>
> Finally, what has this got to do with R-help?
>
>
>
>
> -Original Message-
> From: [
I have a model as follows:
x <- replicate(100, sum(rlnorm(rpois(1,5), 0,1)))
y <- quantile(x, 0.99))
How would one go about estimating the boundaries of a 95% confidence
interval for y?
Any pointers would be greatly appreciated.
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i
I have a model as follows:
x <- replicate(100, sum(rlnorm(rpois(1,5), 0,1)))
y <- quantile(x, 0.99))
How would one go about estimating the boundaries of a 95% confidence
interval for y?
Any pointers would be greatly appreciated.
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i
Dear List,
Is there any way to password-protect script files (either within R or
otherwise)?
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 2
minor 5.1
year 2007
month 06
day27
s
Dear List:
Below is how I specify an axis:
axis(2, at=c(0.5, 0.0005))
R displays the numbers in scientific notation. What
argument/parameter should I use to tell R to display the numbers as
specified rather than in scientific notation?
> version
_
platform i386-pc-ming
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