Displaying 20 results from an estimated 1000 matches similar to: "Overlapping areas under normal distributions"
2007 Mar 13
3
Highlight overlapping area between two curves
Dear R helpers,
I have a graph as following; I would like to highlight the overlapping area
between the two curves. Do you know how to do this?
Thank you in advance for your help.
Nguyen
###START
x1 <- rnorm(10000, 0.70,0.12)
x2 <- rnorm(10000, 0.90,0.12)
d1 <- density(x1)
d2 <- density(x2)
plot(range(d1$x,d2$x), range(d1$y, d2$y), type = "n",
xlab = "X
2009 Apr 17
1
ColorRamp different from ColorRampPalette
I try to use ColorRamp as ColorRampPalette (i.e. with the same gradient), but
it seems there is a nuance that I've missed.
pal.crp<-colorRampPalette( c("blue", "white", "red"), space = "rgb")
plot(rep(0,40),pch=16,col=pal.crp(40))
# is great
But, using the same gradient with colorRamp is giving erratic colors.
pal.cr<-colorRamp(
2016 Jul 04
1
[PATCH] SILK: use silk_memmove for potentially overlapping areas
Fixes CID 1227580
---
silk/process_NLSFs.c | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/silk/process_NLSFs.c b/silk/process_NLSFs.c
index c27cf03..d9123ef 100644
--- a/silk/process_NLSFs.c
+++ b/silk/process_NLSFs.c
@@ -100,6 +100,6 @@ void silk_process_NLSFs(
} else {
/* Copy LPC coefficients for first half from second half */
- silk_memcpy(
2012 Jul 09
1
boxplot with "cut"
Dear UseRs,
I'm making box plots from a data set that looks like this:
Chr Start End GeneDensity ReadCount_Explant ReadCount_Callus ReadCount_Regen
1 1 1 10000 107.82 1.243 1.047 1.496
2 1 10001 20000 202.50 0.835 0.869 0.456
3 1 20001 30000 158.80 1.813 1.529 1.131
2013 Sep 20
1
Is there a way to change x and y axis tick mark inside plot()?
Dear R community,
I am having trouble changing the tick marks on y-axis to every 5 units? I
have the following:
x <- c(12, 16, 6, 23, 27, 8, 5, 19, 23, 13, 16, 8)
y <- c(29, 29, 23, 34, 38, 24, 22, 34, 36, 27, 33, 27)
plot(x, y, pch=19)
Should I change ylim=c(0,40), and then use axis()?
I kept on thinking I can do everything inside plot(), but there is actually
axis(), par(), ..., and
2011 Mar 29
1
Multiple area plots to share the same x-axis
Hello,
I asked a similar question before but in an existing thread. I am not sure
if it is proper etiquette to repost a similar question as a new tread, I
think in this case, it might be because this way more people can see it and
perhaps learn from it. (Also, part of the existing thread became private)
I want to know how to plot multiple ggplot area plots on top of one another
so that the same
2010 Feb 14
2
xyplot, overlay two variables on one plot with group factors
All
I want to overlay two variables on the same plot following their appropriate
grouping. I have attempted to use subscripting in panel with panel.xyplot,
but I can't get the grouping to follow into the panel...here is an
example...
dat<-data.frame(
y= log(1:10),
y2=10:19,
x=1:10,
grp = as.factor(1)
)
dat2<-data.frame(
y= log(10:19),
y2= 20:29,
x=1:10,
grp = as.factor(c(2))
)
2011 Jan 16
3
rootogram for normal distributions
Using R-2.12.1 and latticeExtra-0.6-14, I would like to understand
why a rootogram displaying samples from the Poisson distribution looks like I
expected it, whereas a rootogram using the normal distribution does not:
library(latticeExtra)
rootogram(~rpois(1000, lambda = 50), dfun = function(x) dpois(x, lambda = 50))
rootogram(~rnorm(1000), dfun = function(x) dnorm(x,mean(x),sd(x)))
I
2005 Apr 21
9
Using R to illustrate the Central Limit Theorem
Dear All
I am totally new to R and I would like to know whether R is able and
appropriate to illustrate to my students the Central Limit Theorem,
using for instance 100 independent variables with uniform distribution
and showing that their sum is a variable with an approximated normal
distribution.
Thanks in advance,
Paul
2011 Sep 10
1
dgamma in jags within r
I define priors in jags within r using a gamma distribution. I would
like to control the shape but I have problems. Any help will be usefull.
From help of dgamma
___________________
The Gamma distribution with parameters shape = a and scale = s has density
f(x)= 1/(s^a Gamma(a)) x^(a-1) e^-(x/s)
and rate=1/scale
From jags user manual
____________________
dgamma(r, mu) has a density of
2011 May 19
1
dbetagen function in mc2d package
Hi all,
I found this useful package for generalized beta, yet the function that
calculates its density leaves me puzzled, especially when I plotted it:
plot(function(y) dbetagen(y,4,1.2,min=0,max=40),xlim=c(0,40))
The area between the density curve and the x axis does not seem to measure
1!!!
--
View this message in context:
2006 Jun 03
2
Help on plotting a 3 dimensional surface
Hi
Im working on my master thesis, I need to get a plot currents distributed
over a surface.
I have the data listed in a dataframe with the x coordinates, y coordinates
and the value.
Im using the persp function but I’ve not found out how to put the data into
the z1 variable
es <-read.table("RDatalog_pass_dev_1_wafers_1_8V.txt",header=T,sep="\t")
x1 <-
2010 Feb 21
1
how do I get the legend?
http://en.wikipedia.org/wiki/Binomial_distribution Bino
Hi there,
How can I get the legend in the probability density plot in that
http://en.wikipedia.org/wiki/File:Binomial_distribution_pmf.svg wiki page ?
and the cumalative plot as well?
====================================
# Binomial Distribution
x=0:40
2006 Aug 08
1
parameter yaxs / function hist (graphics)
Dear R users,
The parameters xaxs and yaxs (function par, package graphics)
seem not to work with the function hist (package graphics),
even when the parameters xlim and ylim are defined.
Is there any way to make yaxs="i" and xaxs="i" work properly
with the function hist, mainly to produce histograms that
"touch" the horizontal axis? The R documentation and the
R
2012 Oct 23
1
scatterplot with wrong line offset
Hi All,
I'm trying to do a Scatterplot (package: car), and add a line (just for
reference).
There is my code:
#------------------------------------Code---------------------------------------------------
library("car")
library("calibrate")
G_T<-c("car","bike","boat")
ave<-c(80,10,45)
perf<-c(100,80,75)
df2<-data.frame(G_T,ave,perf)
2008 Dec 06
1
find with add of an atttributes
I have wrote this:
EventDate.find(:all,
:include => [:container,{:event =>
[:photo,:event_type_names]},{:place=>:location}],
:joins =>" RIGHT JOIN (SELECT
event_dates.id,date_add(event_dates.date, INTERVAL i DAY ) AS date
FROM (select 0 as i union all select 0 union all select 1
union all select 2) as integers CROSS JOIN event_dates
2008 Mar 14
1
Rejection sampling to draw from distributions
Dear friends,
Please find below the code that I have employed for a rejection sampler to draw from asymmetric laplace distributions. I was wondering if this code can be written more efficiently? Are there more efficient ways of drawing random numbers from asymmetric laplace distributions??
Thanks in advance for your help and have a great weekend.
Regards
Anup
2002 Dec 08
1
color of plot axes involving POSIX types
I am attempting to plot frequency of occurrence against (calendar) time. As
the output is to be produced as a Powerpoint picture on a dark background I
wish to make the plot output yellow
> par(col="yellow", col.axis="yellow", col.lab="yellow", col.main="yellow")
> plot(t2, t1, ylim=c(0,40), main="Episynlestes run 2",
2001 Aug 28
2
fitting a mixture of distributions with optim and max log likelihood ?
hi
Suppose I have a mixture of 2 distributions generated by
rtwonormals <- function(npnt,m1,s1,m2,s2,p2){
rv<-vector(npnt,mode="numeric")
for( i in seq(1:npnt)){
if(runif(1,0,1)<=p2){
rv[i]<-rnorm(1,m2,s2)
}
else{
rv[i]<-rnorm(1,m1,s1)
}
}
return(rv)
}
x <- rtwonormals(50000,0,100,500,500,0.05)
#and I try to fit these with (based on thread: [R]
2013 Mar 18
2
Fit a mixture of lognormal and normal distributions
Hello
I am trying to find an automated way of fitting a mixture of normal and log-normal distributions to data which is clearly bimodal.
Here's a simulated example:
x.1<-rnorm(6000, 2.4, 0.6)x.2<-rlnorm(10000, 1.3,0.1)X<-c(x.1, x.2)
hist(X,100,freq=FALSE, ylim=c(0,1.5))lines(density(x.1), lty=2, lwd=2)lines(density(x.2), lty=2, lwd=2)lines(density(X), lty=4)
Currently i am using