> peter dalgaard
> on Fri, 21 Oct 2016 22:10:22 +0200 writes:
>> On 21 Oct 2016, at 20:23 , peter dalgaard
>> wrote:
>>
>> In both cases it works out nicer if you do
>>
>> names(px) <- x
>> barplot(px)
> Um, unless of course you want the cdf as a st
> On 21 Oct 2016, at 20:23 , peter dalgaard wrote:
>
> In both cases it works out nicer if you do
>
> names(px) <- x
> barplot(px)
>
Um, unless of course you want the cdf as a step function, in which case check
the help page for plot for possible values of the type= argument.
--
Peter Dalg
This looks like homework, but doing it in R might not be, so I'll give you the
benefit of doubt...
> On 21 Oct 2016, at 18:30 , Ragia . wrote:
>
>
> Dear Grooup
>
> kindly
>
> how can I plot these graphs in R..
>
>
> Suppose that X is a discrete random variable with P(X = 0) = .25, P(X
Dear Grooup
kindly
how can I plot these graphs in R..
Suppose that X is a discrete random variable with P(X = 0) = .25, P(X = 1) =
.125, P(X = 2) = .125, and P(X = 3) = .5. Graph the frequency function and
the cumulative distribution function of X.
my solution was:
x=c(0,1,3)
px=c(.25,.1
On Mar 7, 2011, at 19:12 , Bentley Coffey wrote:
> Just to tie up this thread, I wanted to report my solution:
>
> When (n-1)p is an integer, there is a closed form solution:
> pbinom(j-1,n,...)
>
> When it is not an integer, its fairly easy to approximate the solution by
> interpolating betwee
Just to tie up this thread, I wanted to report my solution:
When (n-1)p is an integer, there is a closed form solution:
pbinom(j-1,n,...)
When it is not an integer, its fairly easy to approximate the solution by
interpolating between the closed-form solutions: fitting log(1 - probability
from clo
Duncan,
I'm not sure how I missed your message. Sorry. What you describe is what I
do when (n-1)p is an integer so that R computes the sample quantile using a
single order statistic. My later posting has that exact binomial expression
in there as a special case. When (n-1)p is not an integer then
rneysville WV, 25430
> (304) 724-4480
> "Is the room still a room when its empty? Does the room,
> the thing itself have purpose? Or do we, what's the word... imbue it."
> - Jubal Early, Firefly
>
> r-help-boun...@r-project.org wrote on 02/14/2011 09:58:09 AM:
On 14/02/2011 9:58 AM, Bentley Coffey wrote:
I need to calculate the probability that a sample quantile will exceed a
threshold given the size of the iid sample and the parameters describing the
distribution of each observation (normal, in my case). I can compute the
probability with brute force
ly
r-help-boun...@r-project.org wrote on 02/14/2011 09:58:09 AM:
> [image removed]
>
> [R] CDF of Sample Quantile
>
> Bentley Coffey
>
> to:
>
> r-help
>
> 02/14/2011 01:58 PM
>
> Sent by:
>
> r-help-boun...@r-project.org
>
> I need
I need to calculate the probability that a sample quantile will exceed a
threshold given the size of the iid sample and the parameters describing the
distribution of each observation (normal, in my case). I can compute the
probability with brute force simulation: simulate a size N sample, apply R's
Hi,
I have a 324X15 matrix (No of years vs. heavy precipitation days) and I want
to calculate the cdf at 5 different data points for each row. I tried by the
following codes but it's not working.
heavyprec <- read.csv (file="heavyprecdays_CSV.csv",header=TRUE,sep=",")
a <- heavyprec
pdf <- densit
On Oct 13, 2009, at 6:53 PM, Duncan Murdoch wrote:
On 13/10/2009 6:43 PM, David Winsemius wrote:
On Oct 13, 2009, at 5:12 PM, maram salem wrote:
Dear all,
I have the cdf of the following power fuction distribution:
F(y)=(y/350)^a ,00.
I want to use it as the argument of the disc
On 13/10/2009 6:43 PM, David Winsemius wrote:
On Oct 13, 2009, at 5:12 PM, maram salem wrote:
Dear all,
I have the cdf of the following power fuction distribution:
F(y)=(y/350)^a ,00.
I want to use it as the argument of the discretize function of the
actuar package.
So I think
On Oct 13, 2009, at 5:12 PM, maram salem wrote:
Dear all,
I have the cdf of the following power fuction distribution:
F(y)=(y/350)^a ,00.
I want to use it as the argument of the discretize function of the
actuar package.
So I think I need to define this function to R so that i
maram salem wrote:
Dear all,
I have the cdf of the following power fuction distribution:
F(y)=(y/350)^a ,00.
I want to use it as the argument of the discretize function of the actuar
package.
So I think I need to define this function to R so that if I entered a=1, I get
the follo
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of maram salem
> Sent: Tuesday, October 13, 2009 2:13 PM
> To: r-help
> Subject: [R] cdf
>
> Dear all,
> I have the cdf of the following power fuction dis
Dear all,
I have the cdf of the following power fuction distribution:
F(y)=(y/350)^a ,00.
I want to use it as the argument of the discretize function of the actuar
package.
So I think I need to define this function to R so that if I entered a=1, I get
the following
F(y)=(y/350)
and
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