Displaying 20 results from an estimated 8000 matches similar to: "calculating probability from the density function"
2011 Sep 22
7
need help on melt/cast
Hello,
I need to convert dataframe from:
ID T0 T1 T2
A 1 2 3
B 4 5 6
C 7 8 9
to:
ID Variable Value
A T0 1
A T1 2
A T2 3
B T0 4
B T1 5
B T2 6
C T0 7
C T1 8
C T2 9
i tried to use melt cast but it gives me all the time not exactly what I
need.
Thank
2011 Oct 05
1
white on black theme for ggplot2
Hello,
I'm trying to produce some plots in ggplot2 to use them on
the dark-blue gradient background. I am wondering if there is already any
theme/set of options that I can use to change the color scheme and
add transparency.
Thank you very much,
Evgeny.
[[alternative HTML version deleted]]
2008 Aug 29
3
Density estimates in modelling framework
Hi all,
Do any packages implement density estimation in a modelling framework?
I want to be able to do something like:
dmodel <- density(~ a + b, data = mydata)
predict(dmodel, newdata)
This isn't how sm or KernSmooth or base density estimation works. Are
there other packages that do density estimation? Or is there some
reason that this is a bad idea.
Hadley
--
http://had.co.nz/
2001 Oct 11
2
Where's MVA?
Hi All:
Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources.
Best wishes,
ANDREW
tseries: Package for time series analysis
Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6
Depends: ts, mva, quadprog
Date: 2001-08-27
Author: Compiled by Adrian
2012 Jan 27
4
percentage from density()
Hi folks,
I know that density function will give a estimated density for a give
dataset. Now from that I want to have a percentage estimation for a
certain range. For examle:
> y = density(c(-20,rep(0,98),20))
> plot(y, xlim=c(-4,4))
Now if I want to know the percentage of data lying in (-20,2). Basically
it should be the area of the curve from -20 to 2. Anybody knows a simple
2002 Mar 29
2
How to get the datapoints of an density estimation with locfit?
Hello!!!
I'm just a beginner of R.
I work with locfit to get the density from an numeric vector. It looks good when I plot the graph, but I need the output data of locfit.
For example I need somthing like that (only integer values for the input):
numeric vector (input of locfit) density (output of locfit)
1 0.05....
2 0.04..
3 0.01
...
Thank you for your help and your time.
2010 Mar 12
1
Problem installing new packages
Hi everyone,
Using R 2.10.1 on Windows Vista.
DOWNLOADED PACKAGES DO NOT INSTALL. I expect to see them in C:\Program
Files\R\R-2.10.1\library These files download (see below). And they are
all in zip format. What am I doing wrong? Please help. All suggestions
appreciated.
trying URL
'http://cran.cnr.Berkeley.edu/bin/windows/contrib/2.10/RColorBrewer_1.0-2.zip'
Content type
2004 Nov 03
1
Kernel Density estimation - locfit package
Hello there,
I am presently using the locfit package in "R" and would appreciate some
help here. Could anyone tell me tell me how I can obtain the various
components (x and y values)of the density estimation after using the "R"
command "locfit"? For example, with the command
"fhat<-density(somename)" I can obtain the x and y values by simply
calling
2002 Mar 31
1
How to get the datapoints of an density estimationwithlocfit?
Hello!!
At first thank you all for your suggestions and your help.
But I would like to get another group of datas from the density estimation. I don't know if these information are provided by locfit or I should use an other function like plot().
Description:
Each number between 1 and 100 (only integer) for example should have only one density value. But I also would like to have the density
2009 Jun 26
1
The Claw Density and LOCFIT
I am trying to reproduce Figure 10.5 of Loader's book: Local Regression and Likelihood. The code provided in the book does not seem to work.
I have managed (a while ago) to get the accompanied R-code for the figures in the book (file called lffigs.R) from somewhere - cannot find it on the web anymore. The code in the .R script file does not work either.
Could anybody please direct me in
2006 Jun 07
4
Density Estimation
Dear R-list,
I have made a simple kernel density estimation by
x <- c(2,1,3,2,3,0,4,5,10,11,12,11,10)
kde <- density(x,n=100)
Now I would like to know the estimated probability that a
new observation falls into the interval 0<x<3.
How can I integrate over the corresponding interval?
In several R-packages for kernel density estimation I did
not found a corresponding function. I
2006 Mar 13
1
Density Estimation
Hallo
I am trying to use the package LocFit to follow the example given in an
Introductory note of C Loader concerning density estimation. It involves
the "geyser" dataset (107 observations on durations, inlc in the
package).
I have tried the following (using the latest version of R):
fit.of <- locfit(~geyser,flim=c(1,6),alpha=c(0.15,0.9))
plot(fit.of,get.data=T,mpv=200)
This
2012 Apr 19
5
User defined panel functions in lattice
Hi
I have a problem with passing line and symbol parameters to user
defined panel functions
I had a look at the archives and created a panel function on what was
shown and on panel.loess.
I could not to get panel.locfit to work for what I intend it for.
There is another layer to work with before success as lp() is called
from locfit.
xx <-
structure(list(Farm = c("A",
2003 Oct 22
1
2 D non-parametric density estimation
I have spatial data in 2 dimensions - say (x,y). The correlation
between x and y is fairly substantial. My goal is to use a
non-parametric approach to estimate the multivariate density describing
the spatial locations. Ultimately, I would like to use this estimated
density to determine the area associated with a 95% probability contour
for the data.
Given the strong correlation between x and
2006 Apr 06
4
weighted kernel density estimate
Dear R-users,
I intend to do a spatial analysis on the genetic structuring within a
population. For this I had thought to prepare a kernel density estimate
map showing the spatial distribution of individuals, while incorporating
the genetic distances among individuals. I have a dataset of locations
of N unique individuals (XY-coordinates) and an NxN matrix with the
genetic distances given as a
2003 Jan 13
2
density estimation
I've been trying to figure this out for a while, but my knowledge of R is obviously still too limited.
The context is as follows: I have some time series, and I would like to estimate their densities, and then use the actual densities in a monte carlo simulation. Now, I can easily estimate the density using density(); I can write a random number generator to fit an arbitrary density
2012 Jun 27
2
density function
Hello,
I need density function so that I can find expected value (using
integration). I use density():
f= density(data)
but f isn't a function and I can't get values and integrate it
This is very urget, so please help.
Greetings
Peter
--
View this message in context: http://r.789695.n4.nabble.com/density-function-tp4634563.html
Sent from the R help mailing list archive at Nabble.com.
2007 Apr 02
3
Random number from density()
Hello,
I'm writing some genetic simulations in R where I would like to place
genes along a chromosome proportional to the density of markers in a
given region. For example, a chromosome can be presented as a list of
marker locations:
Chr1<-c(0, 6.5, 17.5, 26.2, 30.5, 36.4, 44.8, 45.7, 47.8, 48.7, 49.2,
50.9, 52.9, 54.5, 56.5, 58.9, 61.2, 64.1)
Where the numbers refer to the locations of
2010 Oct 24
1
140 packages in R Commander!!
Dear List
I just downloaded and installed R 2.12.0 and then installed R Commander .
First it got RCmdr and Car, and then suggested for other packages for
utilizing the full functionality- I clicked yes!
I got 140 packages installed!!! Cran Mirror was UCLA...
Here is the list.
Is this intentional- I can see some packages like snow and multicore which
are desirable but quite optional.(see list
2009 Nov 05
5
Density estimate with bounds
Dear R users,
I would like to show the estimated density of a (0, 1) uniformly distributed
random variable. The density curve, however, goes beyond 0 and 1 because of the
kernel smoothing.
Example:
x = runif(10000)
plot(density(x))
Is there a way to estimate the density curve strictly within (0, 1) and still
use some sort of smoothing?
Any help would be greatly appreciated.
Best regards,