You desperately need to read the Posting Guide mentioned at the bottom of every
posting on this list. Avoid attachments (your code did not come through), keep
sample data size minimal, don't reply to other topic messages (start a fresh
email thread so your message doesn't get buried in other peo
Hi,
I'm Najad, a student at the University of Glasgow. I really need help with a
script of mine to plot density plot for my data. I kept on having an error
saying need at least 2 points to select a bandwidth automaticallyI've tried to
replace the NaN in my data to zero but still the same. I'm no
Thank you very much!
I do need to learn more about R!!
On Tuesday, March 17, 2015 9:26 PM, William Dunlap
wrote:
Fix Ace wrote What is the default "n"?
512: > length(density(rnorm(10^6))$x) [1] 512 > args(density.default)
function (x, bw = "nrd0", adjust = 1, kernel = c(
> I have a dataset with 6187 elements, ranged from 3 to 104028. When I tried to
> examine only small range of data, I found that the plot was not smooth (as
> shown below):
> plot(density(test$V2), xlim=c(0,1000))
>
>
> Is there away to make it smoother?
For small ranges, use 'from' and 'to' i
Thank you for the email.
What is the default "n"?
Thanks!
On Tuesday, March 17, 2015 4:06 PM, William Dunlap
wrote:
Increasing the value of 'n' given to density will give an estimate at more
points so it will look smoother. Try n=2^18.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
Fix Ace wrote
What is the default "n"?
512:
> length(density(rnorm(10^6))$x)
[1] 512
> args(density.default)
function (x, bw = "nrd0", adjust = 1, kernel = c("gaussian",
"epanechnikov", "rectangular", "triangular", "biweight",
"cosine", "optcosine"), weights = NULL, w
Increasing the value of 'n' given to density will give an estimate at more
points so it will look smoother. Try n=2^18.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, Mar 17, 2015 at 12:06 PM, Fix Ace wrote:
>
>
> I have a dataset with 6187 elements, ranged from 3 to 104028. When I
> tr
I have a dataset with 6187 elements, ranged from 3 to 104028. When I tried to
examine only small range of data, I found that the plot was not smooth (as
shown below):
plot(density(test$V2), xlim=c(0,1000))
Is there away to make it smoother?
Thanks a lot!!
___
t, price)) + geom_point(alpha = 1/10)
p
http://had.co.nz/ggplot2/geom_point.html
John Kane
Kingston ON Canada
> -Original Message-
> From: j...@bitwrit.com.au
> Sent: Thu, 14 Jun 2012 21:39:36 +1000
> To: field.c...@gmail.com
> Subject: Re: [R] density plot on a log s
On 06/14/2012 07:08 PM, field.cady wrote:
I'm working with a large dataset - large enough that when I do a scatter plot
the points all blur together, so I want to plot their density by color - a
heat map or something like that. I've used smoothScatter for tasks like
this, but the problem is that
I'm working with a large dataset - large enough that when I do a scatter plot
the points all blur together, so I want to plot their density by color - a
heat map or something like that. I've used smoothScatter for tasks like
this, but the problem is that my current dataset really only looks good o
Let me ask another way.
Is there a way to create a histogram with a fitted line, but without bars?
Or, perhaps draw the bars with invisible lines?
Thanks.
On Tue, Aug 16, 2011 at 7:29 AM, Jeff Newmiller
wrote:
> This is a nonsensical request. It is like saying you want to plot the speed
> of
This is a nonsensical request. It is like saying you want to plot the speed of
a falling object but you want the units of speed to be meters.
---
Jeff Newmiller The . . Go Live...
DCN: Basics: ##.#. ##.#. Live Go...
Li
I would like to create a kernal density plot, but rather than show
density units on the vertical axis I would like frequencies.
I know histograms do this but I don't want the bars, just the density curve.
Thanks!
__
R-help@r-project.org mailing list
h
On Wed, Aug 3, 2011 at 5:11 AM, r student wrote:
> Like below?
>
> plot(density(oh$FINCP,weights=oh$PWGTP/sum(oh$PWGTP)))
>
Yes
If you are doing lots of analyses with weighted data you might want to
look at the survey package. It also has a density estimator, in
svysmooth(), which works very mu
Like below?
plot(density(oh$FINCP,weights=oh$PWGTP/sum(oh$PWGTP)))
On Tue, Aug 2, 2011 at 10:06 AM, David Winsemius wrote:
>
> On Aug 2, 2011, at 12:51 PM, r student wrote:
>
>> I'm trying to create a density plot using census data, where the
>> weights don't sum to 1.
>>
>>
>>> plot(density
On Aug 2, 2011, at 1:11 PM, r student wrote:
Like below?
plot(density(oh$FINCP,weights=oh$PWGTP/sum(oh$PWGTP)))
I don't understand why you are asking for approval. You are the one
with the data and know where they came from. We have none of that
background.
--
David.
On Tue, Aug 2, 20
On Aug 2, 2011, at 12:51 PM, r student wrote:
I'm trying to create a density plot using census data, where the
weights don't sum to 1.
plot(density(oh$FINCP,weights=oh$PWGTP))
Warning message:
In density.default(oh$FINCP, weights = oh$PWGTP) :
sum(weights) != 1 -- will not get true dens
I'm trying to create a density plot using census data, where the
weights don't sum to 1.
>plot(density(oh$FINCP,weights=oh$PWGTP))
Warning message:
In density.default(oh$FINCP, weights = oh$PWGTP) :
sum(weights) != 1 -- will not get true density
How would I go about doing this?
Thanks!
I tried logspline function using a lower bound 0 for my data, it works
like a charm. When the I changed the xlim only positive part, the
vertical line was also gone. That's exactly what I expected.
Thanks.
-JJ
Greg Snow wrote:
You might want to use the logspline package instead of the density
help-boun...@r-project.org] On
Behalf Of Greg Snow
Sent: Wednesday, April 27, 2011 1:55 PM
To: Juanjuan Chai; r-help@r-project.org
Subject: Re: [R] density plot of simulated exponential distributed data
You might want to use the logspline package instead of the density function, it
allow
p-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Juanjuan Chai
> Sent: Tuesday, April 26, 2011 4:19 PM
> To: r-help@r-project.org
> Subject: [R] density plot of simulated exponential distributed data
>
> Hi all,
>
> I tried to plot the den
Hi:
Try this (and note the use of vectorization rather than a loop):
rate <- 3
dta <- -log(1 - runif(1000))/rate
hist(dta, nclass = 30, probability = TRUE)
x <- c(0.001, seq(0, 3, by = 0.01))
lines(x, dexp(x, rate = 3))
This is the difference in timings between the vectorized and iterative
metho
Hi all,
I tried to plot the density curve using the data from simulation. I am
sure that the data should be exponentially distributed, but the plot
of density curve always starts from (0,0) which is not the case for
exponential distribution. Is there any way around this, to keep the
curve
Hi:
Try this:
densityplot( ~ height | voice.part, data = singer, layout = c(2, 4),
xlab = "Height (inches)", bw = 5)
densityplot( ~ height | voice.part, data = singer, layout = c(2, 4),
xlab = "Height (inches)", bw = 5, plot.points = FALSE)
The plot.points argument is a
Hi,
Is it possible to remove the points at the base of a density plot?I would like
to keep only the curves of the plot, not the points.
Thank you.
Marie-Helene HacheyM.Sc. studentUniversite Laval, Quebec
__
R-h
Hi,
small modifications to your code will do the trick
> Here everything is ok, except few points :
> 1. I want to remove the name of y-axis, which is by default "density". Here
> I put ylab(""), however although for x-axis it is working, for y-axis it is
> not. Is there any specific formula for
Hi Ron,
I'm not sure why ylab doesn't work. Maybe a bug. I note the label
doesn't get removed with labs() either. However using
scale_y_continuous(name="") does remove the label.
For the legend, you are using a fill scale, not a colour scale i.e.
fill=factor(dat[,2]), not colour=factor(da
Hi all, I was trying to draw a stacked density plot like that :
library(ggplot2); library(plyr)
dat <- cbind(rnorm(300), rep(c(1,2), each=150))
ggplot() + geom_density(aes(x=dat[,1], fill=factor(dat[,2]),
position="stack")) +
xlab("") + ylab("") +
scale_colour_manual(name = "
gregor rolshausen wrote:
hello !
I have question concerning *kernel density plots*:
how to plot of a vector, when that vector
is very short (5-10 values)?
I tried:
> plot(density(x))
or
> hist(x,probability=T,border="white")
> lines(density(x))
for small length of vectors, the ylab i
hello !
I have question concerning *kernel density plots*:
how to plot of a vector, when that vector
is very short (5-10 values)?
I tried:
> plot(density(x))
or
> hist(x,probability=T,border="white")
> lines(density(x))
for small length of vectors, the ylab is not 0from 0 to 3. thats confu
Hi,
I'm trying to create a density plot which I used to do in geneplotter
using the following code. Unfortunately I can't find the combination of
R release and geneplotter that works.
Can anyone suggest a fix or an alternative to smoothScatter that will
plot depth of one dive vs depth of the nex
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