Dear R-users,
I have been using the code below in order to verify how the CDF of a
skew-normal distribution was calculated:
library(sn)
s=seq(-30,30,by=0.1)
a<-matrix(nrow=length(s),ncol=5)
lambda=1
for(i in 1:length(s)){
a[i,1]=pnorm(s[i],mean=0,sd=1);
a[i,2]=T.Owen(s[i],lambda);
a
Dear R-users,
I have been using the code below in order to verify how the CDF of a
skew-normal distribution was calculated:
library(sn)
s=seq(-30,30,by=0.1)
a<-matrix(nrow=length(s),ncol=5)
lambda=1
for(i in 1:length(s)){
a[i,1]=pnorm(s[i],mean=0,sd=1);
a[i,2]=T.Owen(s[i],lambda);
a
niversity
> College Station, TX 77843-4352
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>
> > -----Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Boris Beranger
> > Sent: Tuesday, June 05, 2012 3:29 AM
> > To: R-help@r-project.org
&
Dear all,
I have been trying to convert coordinates from longitude/latitude to utm
but I got an error. As soon as the longitude coordinate is greater than 90,
I get the folloowing error message: "error in pj_transform: latitude or
longitude exceeded limits"
Here is what I did:
SP<-SpatialPoint
Thank you very much Andrija,
I have been do some research and was about to post the same solution.
Boris
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Sent from the R help mailing list archive at Nabble.com.
Hi everyone,
I have a zero vector of length N and I would like to randomly allocate the
value 1 to one of the values of this vector. I presume I have to use the
uniform distribution but could someone tell me how I should process?
Thanks in advance,
Boris
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Sorry when we talk about about MLE estimates does that mean WLE?I am trying
to understand if the survreg function is allowing a weight for each density
function when calculating the likelihood.
In my second question I was trying to explain that my problem is that I have
pipes of different length a
Thank you for your reply, it has been helpful.
Do you know if the parameters estimators are MLE estimators?
One more question:
In my case study I have failures that occured on different objects that have
different age and length, could I use weight to find the estimates of a
weibull law and so to
Dear R users,
I have been trying to understand what the Weights arguments is doing in the
estimation of the parameters when using the Surreg function.
I looked through the function's code but I am not sure if I got it or not.
For example, if I inclue the Surv function in it:
survreg(Surv(vector,
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