Dear Ellison
yes its working but if i want to replaced the any value in the the output . e.g
i want to replace 0.65 with 10. then what i do
From: S Ellison
Sent: Monday, September 19, 2016 5:15:20 PM
To: Muhammad Kashif; r-help@r-project.org
Subject: RE: add
dear r users
I have one question that how we add one or more outliers in the data set.
For example if we generate data set from Weibull distribution using function
n=10
k<-rweibull(n, shape=2.5, scale = 1.3)
k
the output is
> k
[1] 0.6507619 0.6229385 1.6838931 1.1661324 0.4907947 1.341
Dears
Can anyone help me to solve the issue.
By using" boot" and "boot.ci" package in R we can construct bootstrap
confidence intervals. How we calculate the coverage probability of these
intervals.
[[alternative HTML version deleted]]
__
R-h
Dear Group members
Can any one help to code this situation. Suppose we have a population with some
mean and a standard deviation. Then , there are n1 observations out of n
which are less than or equal to n. Also, there are n2 observations out of n
which are greater than . We divide the wh
Dear respected group members
who we calculate trimmed and Winsorized mean of data. can we calculate directly
of any latest package is available for their calculation.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -
Dear
Is there any function which calculate time for one simulation when we use "
asim=2000" under any simulation study. I run one simulation code on R and i
have core i 5 laptop. Each simulation take about 30 -40 minutes.
Is there any function which calculate time of each output.
thanks
Thank you Professor and sorry for question on personal email.
From: peter dalgaard
Sent: Monday, January 4, 2016 2:15 AM
To: Muhammad Kashif
Cc: Group R-help
Subject: Re: Thanks and further question
Please keep on-list (cc'ed), for various good re
Dear i optimized the gama and beta value using MLE via simmulation of birnbaum
saunders distribution. if i run this code it generate very small value of beta.
Could any one help me in this regard. i use gbs package to generate data.
gama=1.0
beta=1.3
n=25
iterCount=1000
for(i in 1:iterCount){
x<
Dear i optimized the gama and beta value using simmulation. if i run this code
it generate very small value of beta. Could any one help me in this regard. i
use gbs package to generate data.
gama=1.0
beta=1.3
n=25
iterCount=1000
for(i in 1:iterCount){
x<-rgbs(n,gama,beta)
P<-function(theta,
9 matches
Mail list logo