PLZ mke sure the package installed which contains mvrnorm function.
--
PO SU
mail: desolato...@163.com
Majored in Statistics from SJTU
At 2014-09-14 09:56:34, thanoon younis thanoon.youni...@gmail.com wrote:
Dear R members
I want to simulate data depending on SEM and when i applied the
Dear R members
I want to simulate data depending on SEM and when i applied the code below
i found some errors and i still cannot run it.
many thanks in advance
Thanoon
#Do simulation for 100 replications
N-1000; P-10
phi-matrix(data=c(1.0,0.3,0.3,1.0),ncol=2) #The covariance matrix of xi
What errors? What is your output? What output did you expect?
On Sep 14, 2014, at 6:56 AM, thanoon younis thanoon.youni...@gmail.com wrote:
Dear R members
I want to simulate data depending on SEM and when i applied the code below
i found some errors and i still cannot run it.
many thanks
cc�ing to list, as requested in the posting guide, so that others may be able
to help you.
On Sep 14, 2014, at 8:45 AM, thanoon younis thanoon.youni...@gmail.com wrote:
Thank you very much for your reply
the output is
#Do simulation for 100 replications
N-1000; P-10
On Sep 14, 2014, at 8:48 AM, Don McKenzie wrote:
ccing to list, as requested in the posting guide, so that others
may be able to help you.
On Sep 14, 2014, at 8:45 AM, thanoon younis thanoon.youni...@gmail.com
wrote:
Thank you very much for your reply
the output is
#Do simulation
Adding back the list address:
On Sep 14, 2014, at 9:53 AM, thanoon younis wrote:
thank you for your help but i still have error after putting semicolon
Error: unexpected symbol in:
Ro-matrix(data=c(7.0,2.1,2.1,7.0), ncol=2)
yo-matrix(data=NA,nrow=N,ncol=P) p
The error message shows no
dear all members
i am trying to simulate data with mixed ordered categorical and
dichotomous variables with 200 observation and 10 var. 5 ordered
categorical and 5 dichotomous and i want to put a high correlation between
variables so i must find correlation between dichotomous and the
dear all members
i have a problem with the code below, my problem in this code i want to put
a high correlation between variables in group R1 and also put a high
correlation between variables in group R2. after checking the correlation
between variables in R1 also between variables in R2 i didn't
Dear Thanoon,
You might look at the various item simulation functions in the psych package.
In particular, for your problem:
R1 - sim.irt(10,1000,a=3,low = -2, high=2)
R2 - sim.irt(10,1000,a=3,low = -2, high=2)
R12 - data.frame(R1$items,R2$items)
#this gives you 20 items, grouped with high
Dear R-users
i need your help to solve my problem in the code below, i want to simulate
two different samples R1 and R2 and each sample has 10 variables and 1000
observations so i want to simulate a data with high correlation between
var. in R1 and also in R2 and no correlation between R1 and R2
Hello,
At an R prompt type
?rbinom
?replicate
Hope this helps,
Rui Barradas
Em 10-04-2014 02:28, thanoon younis escreveu:
hi
i want to simulate multivariate dichotomous data matrix with categories
(0,1) and n=1000 and p=10.
thanks alot in advance
[[alternative HTML version
Thanoon,
My reply to your previous post should be more than enough for you to
accomplish your goal. Please look over that script again:
ords - seq(4)
p - 10
N - 1000
percent_change - 0.9
R - as.data.frame(replicate(p, sample(ords, N, replace = T)))
or alternatively as Mr. Barradas suggests
hi
i want to simulate multivariate dichotomous data matrix with categories
(0,1) and n=1000 and p=10.
thanks alot in advance
[[alternative HTML version deleted]]
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On 10/04/14 09:28, thanoon younis wrote:
hi
i want to simulate multivariate dichotomous data matrix with categories
(0,1) and n=1000 and p=10.
Nobody's stopping you! :-)
cheers,
Rolf Turner
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R-help@r-project.org mailing list
Thanoon,
Firstly, please remember to reply to the R help list as well so that other
may benefit from your questions as well.
Regarding your second request, I have written the following as a very naive
way of inducing correlations. Hopefully this makes it perfectly clear what
you change for
dear sir
i want to simulate multivariate ordinal data matrix with categories (1,4)
and n=1000 and p=10.
thanks alot
thanoon
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https://stat.ethz.ch/mailman/listinfo/r-help
Hi Thanoon,
How about this?
# replicate p=10 times random sampling n=1000 from a vector containing your
ordinal categories (1,2,3,4)
R - replicate(10, sample(as.vector(seq(4)), 1000, replace = T))
Cheers,
Charles
On Fri, Apr 4, 2014 at 7:10 AM, thanoon younis
thanoon.youni...@gmail.comwrote:
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