Hi R users,
I am trying to plot two dimensional posterior likelihood surface. I have a
data like
para1 para2 likehood
... ...
... ...
I looked at contour plot but it needs a shorted values of parameters and a
matrix of
Thanks David, what do you mean by organized data in regular manner?
Gyanendra Pokharel
University of Guelph
Guelph, ON
On Tue, Nov 11, 2014 at 3:53 PM, David Winsemius dwinsem...@comcast.net
wrote:
On Nov 11, 2014, at 11:17 AM, Gyanendra Pokharel wrote:
Hi R users,
I am trying to plot
Thanks a lot, David !
Thats what I wanted. it is greatly helpful.
GP
University of Guelph
Guelph, ON
On Tue, Nov 11, 2014 at 7:02 PM, David Winsemius dwinsem...@comcast.net
wrote:
On Nov 11, 2014, at 2:53 PM, Gyanendra Pokharel wrote:
Thanks David, what do you mean by organized data
) : there is no package called ‘mlegp’
Can some one suggest me whats going on?
Gyanendra Pokharel
University of Guelph
Guelph, ON
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PLEASE do
Thanks Uwe! I re-install R and re-install the package mlegp and I
successfully installed it.
Thanks again !
Gyan
Gyanendra Pokharel
University of Guelph
Guelph, ON
On Thu, Aug 21, 2014 at 6:36 PM, Uwe Ligges lig...@statistik.tu-dortmund.de
wrote:
On 22.08.2014 00:15, Gyanendra Pokharel
Hi there,
Could someone explain the input options in the function
gpCreat(q,d,X,y,options) in package gptk? I tried looking at the program
gpOptions.R but did not get the way to input the option
Many thanks
Gyan
..
Gyanendra Pokharel
University of Guelph
Guelph
Import data:
mydata - read.table(filename.txt)
give following command for column name
colnames(mydata) - c(V1,V2,V3,)
Gyanendra Pokharel
University of Guelph
Guelph, ON
On Mon, Aug 26, 2013 at 5:42 PM, Docbanks84 mban...@partners.org wrote:
Hi ,
I just imported a large data
Try in R 64 bit.
Thanks
Gyanendra Pokharel
University of Guelph
Guelph, ON
On Thu, May 23, 2013 at 10:53 AM, Ray Cheung ray1...@gmail.com wrote:
Dear All,
I wrote a program using R 2.15.2 but this error message cannot allocate
vector of size 200Mb appeared. I want to ask in general how
I can't see your attached file. Can you re-attache it?
Thanks
Gyanendra Pokharel
University of Guelph
Guelph, ON
On Fri, Feb 22, 2013 at 7:58 AM, Anup khanal za...@hotmail.com wrote:
Good afternoon,
I am a new in R. I have to work with large climate data.I am not able to
read the netcdf
I am sorry David, I don't mean to give the answer of the impossible
questions. Just you can say impossible. If there is no way to do what I
explained, that's fine, we do have other alternatives what I wrote in the
beginning.
Thank you so much.
On Wed, Dec 5, 2012 at 1:12 PM, David Winsemius
Thanks Berend, your Idea is great, that,s what I was looking.
Thanks again
On Wed, Dec 5, 2012 at 2:06 PM, Berend Hasselman b...@xs4all.nl wrote:
do.call(cbind,lapply(mydf, function(df) df[,1:2]))
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Hi group,
I imported 16 data frames using the function list.files
temp - list.files(path=...)
myfiles = lapply(temp, read.table,sep = )
Now I have 16 data set imported in R window.
I want to combine them by row and tried some thing like (Here I am
considering only 20 columns)
for(i
, Dec 4, 2012 at 9:37 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
Hi group,
I imported 16 data frames using the function list.files
temp - list.files(path=...)
myfiles = lapply(temp, read.table,sep = )
Now I have 16 data set imported in R window.
I want
you used the plyr package, you could
have done this in one shot:
library(plyr)
DF - ldply(llply(temp, read.table), rbind)
The inner llply call is equivalent to your lapply() and the outer
ldply() is equivalent to Jim's do.call() code.
Dennis
On Tue, Dec 4, 2012 at 6:37 PM, Gyanendra
Hi all,
Can some one tell me the difference between the following two formulas?
1. epiG.rf -randomForest(gamma~.,data=data, na.action = na.fail,ntree =
300,xtest = NULL, ytest = NULL,replace = T, proximity =F)
2.epiG.rf -randomForest(gamma~.,data=data, na.action = na.fail,ntree =
300,xtest =
$gamma, na.action =
na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F)
which one is the correct form of random forest?
Thanls
On Sun, Oct 21, 2012 at 9:59 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
Hi all,
Can some one tell me the difference between
Dear all,
I have the following data set.
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 alpha beta
1111 111 111 11111alpha beta1
2122 122 12 2 12212alpha beta1
3133 133 13 3 13 313alpha beta1
4
Hi all,
I got following problem in fitting the data.
Any kind of suggestions are welcome
beta - 3.5
d - seq(0.1,62.5,0.1)
y - exp(-beta*d)
y1 - y
x - read.table(epidist.txt, header = TRUE)
data.nls - as.data.frame(cbind(y1,x))
#attach(data.nls)
nls.fit - nls(y1~dist,data.nls)
Error in
Hi all,
I have the data from the posterior distribution for some parameter. I want
to find the 95% credible interval. I think t.test(data) is only for the
confidence interval. I did not fine function for the Bayesian credible
interval. Could some one suggest me?
Thanks
[[alternative HTML
-- Forwarded message --
From: Gyanendra Pokharel gyanendra.pokha...@gmail.com
Date: Fri, Feb 10, 2012 at 11:13 AM
Subject: Re: [R] Importing a CSV file
To: sezgin ozcan szgoz...@gmail.com
You save your file in your own folder either in desktop or in document
where ever you want
at probaccept = 1 or 2) so slow it just feels endless. Either way, my
prescription is the same: print()
Michael
On Dec 5, 2011, at 9:30 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
Yes, your function out- epiann(f = function(a,b)
log(dnorm(a)*dnorm(b))),
N = 10) works well
Thanks Michael,
I am able to find the very nice plot of the function we discussed but still
have the problem of ploting the function loglikelihood(aout,bout) versus
aout posted in the initial massage.
Best
On Tue, Dec 6, 2011 at 10:40 AM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote
Hi all,
I have the following code,
When I run the code, it never terminate this is because of the while loop i
am using. In general, if you need a loop for which you don't know in
advance how many iterations there will be, you can use the `while'
statement so here too i don't know the number how
count - count +1
}
fmin - f(aout,bout)
return(c(aout, bout,fmin, count) )
}
out- epiann(f = loglikelihood)
On Mon, Dec 5, 2011 at 3:46 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
Hi all,
I have the following code,
When I run the code, it never terminate
loop takes a long time to run.
More generally, read up on the use of print() and browser() as debugging
tools.
Michael
On Mon, Dec 5, 2011 at 3:47 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
I forgot to upload the R-code in last email, so heare is one
epiann - function(T0
seconds so there's no problem I can see:
perhaps you want to look elsewhere to get better speed (like Rcpp or
general vectorization), or maybe your loglikihood is not what's
desired, but there's no problem with the loop.
Michael
On Mon, Dec 5, 2011 at 5:29 PM, Gyanendra Pokharel
, being unprovided, I
have trouble replicating.
My original guess still stands: it's either 1) a case of you getting stuck
at probaccept = 1 or 2) so slow it just feels endless. Either way, my
prescription is the same: print()
Michael
On Dec 5, 2011, at 9:30 PM, Gyanendra Pokharel
I ma sorry, I miss typed the function, it should be loglikelihood instead.
On Mon, Dec 5, 2011 at 10:37 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
Thanks Michael
Lets figure out the problem by using the following function. I found the
same problem in this code too
without knowing its source. Also keep in mind the
limitations of floating point arithmetic if you expect alpha*d^beta to be
small.
Michael
On Nov 29, 2011, at 6:58 PM, Sarah Goslee sarah.gos...@gmail.com wrote:
On Tue, Nov 29, 2011 at 6:55 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com
Hi all I have a function of log defined by y = log(1- exp(-a)), when
exp(-a) is greater, 1, it produce NaN. How can I remove this in R?
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when exp(-alpha*d^(-beta)) is greater than 1.
How can I remove it.After generating the out put we can omit it, but the
problem is different.
On Tue, Nov 29, 2011 at 5:22 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
No, that,s not a problem Michael,
I have following code
do that anywhere. What do you expect to happen? The log of a
negative number IS NaN.
Sarah
On Tue, Nov 29, 2011 at 6:28 PM, Gyanendra Pokharel
gyanendra.pokha...@gmail.com wrote:
I have following code:
loglikelihood - function(alpha,beta= 0.1){
loglh-0
d-0
p-0
k-NULL
Hi all,
Can any body suggest me the data set which has the length of power of two
and fit for the wavelet smoothing for the regression?
There are alot of datasets like ethanol in the package SemiPar that can
be used for this smoothing but we have to extend them in the power of two.
I have no idea
Hi all, following is my R -code and shows the error given below
n - 100
k-2
x1 -c(1, 3);x2 - c(2,5)
X - matrix(c(0,0), nrow = 2, ncol = n)
for(i in 1:k)
+ X[i, ] - mh1.epidemic(n,x1[i],x2[i])
Error in X[i, ] - mh1.epidemic(n,x1[i],x2[i]):
number of items to replace is not a multiple of
Hi all,
why factorial(150) shows the error out of range in 'gammafn'?
I have to calculate the number of subset formed by 150 samples taking 10 at
a time. How is this possible?
best
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Hi all,
I have a set of elements (1, 1, 0,1,1,0,1,0,1,1) with ten elements. I have
to construct the permutation matrix of this set which is of the size 10 by
2^10. Can some one help how is this possible? Is there is a particular
function in R or I need to make function?
Best
Hi R community,
I have some data set and construct the likelihood as follows
likelihood - function(alpha,beta){
lh-1
d-0
p-0
k-NULL
data-read.table(epidemic.txt,header = TRUE)
attach(data, warn.conflicts = F)
k -which(inftime==1)
d -
Hi all,
I have the mean vector mu- c(0,0) and variance sigma - c(10,10), now how
to sample from the bivariate normal density in R?
Can some one suggest me?
I did not fine the function mvdnorm in R.
Best
Gyan
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Following is my code, can some one help on the error at the bottom?
mh-function(iterations,alpha,beta){
+ data-read.table(epidemic.txt,header = TRUE)
+ attach(data, warn.conflicts = F)
+ k-97
+ d - (sqrt((x-x[k])^2 + (y-y[k])^2))
+ p - 1-exp(-alpha*d^(-beta))
+ p.alpha-1 -
I have the following code,
gibbs -function(m,theta = 0.25, lambda =0.55, n =1){
alpha - 1.5
beta - 1.5
gamma - 1.5
x- array(0,c(m+1, 3))
x[1,1] - theta
x[1,2] - lambda
x[1,3]- n
for(t in 2:(m+1)){
x[t,1] - rbinom(1, x[t-1,3], x[t-1,1])
I have got following error in drawing wavelet fitting. can some one help?
library(faraway)
data(lidar)
newlidar-lidar[c(1:128),]
library(wavethresh)
wds - wd(newlidar$logratio)
draw(wds)
Error in plot.default(x = x, y = zwr, main = main, sub = sub, xlab = xlab,
:
formal argument type
Hi R community!
I am analyzing the data set motorins in the package faraway by using
the generalized additive model. it shows the following error. Can some one
suggest me the right way?
library(faraway)
data(motorins)
motori - motorins[motorins$Zone==1,]
library(mgcv)
amgam - gam(log(Payment) ~
Hello R community, following is my code and it shows error, can some one
fix this error and explain why this occurs?
gibbs -function(m,n, theta = 0, lambda = 1){
alpha - 1.5
beta - 1.5
gamma - 1.5
x- array(0,c(m+1, 3))
x[1,1] - theta
x[1,2] - lambda
x[1,3]- n
for(t
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