Hi everyone,
I am interested in doing a study to compare three analyzing methods namely,
ANOVA, GEE and multilevel approach for *categorical repeated measures data
using a simulation study in R*.
I am not an expert in R but I know some preliminaries in R. Therefore I am
desperately looking
Here I am in a simulation study where I want to find different values
of x and y such that f(x,y)=c (some known constant) w.r.t. x, y 0,
y=x and x=c1 (another known constant). Can anyone please tell me how
to do it efficiently in R. One way I thought that I will draw
different random numbers from
Are the pairs (x,y) belong to some lattice or can
change continuously?
Does f assume some discrete values (or is constant on
sets of positive measure)? If not then it will be hard
to randomly select x and y which satisfy the exact
equality (this still can happen since there are
finitely many
x, y are cont. variable, and f also have to be cont.. And your second
suggestion is correct of course, it actually should be |f(x,y) - c|
epsilon
Thanks
On Tue, Apr 29, 2008 at 12:34 PM, Moshe Olshansky [EMAIL PROTECTED] wrote:
Are the pairs (x,y) belong to some lattice or can
change
At 02:40 AM 4/29/2008, Arun Kumar Saha wrote:
Here I am in a simulation study where I want to find different values
of x and y such that f(x,y)=c (some known constant) w.r.t. x, y 0,
y=x and x=c1 (another known constant). Can anyone please tell me how
to do it efficiently in R. One way I thought
Thanks to All,
The comments were very helpful; however, the the simulation is running very
slow. I reduced the number of loops (conditions) so I have 36 loops, and the
data-generation occurs 1000 times within each loop. At the end of each 1000
reps, I saved the summary (e.g., mean) of the reps to
One of the things you might take a look at is the 'filehash' package.
It is an easy way of storing/retrieving R objects. I have an
application where my objects are matrices of about the same size and I
can quickly store the data and then come back later with a different
script to do further
Dear All,
I am running a Monte Carlo simulation study and have some questions on how
to manage data storage efficiently at the end of each 1000 replication loop.
I have three conditions coded using the FOR {} loops and a FOR loop that
generates data for each condition, performs analysis, and
-project.org
Subject: [R] simulation study using R
Dear All,
I am running a Monte Carlo simulation study and have some questions on how to
manage data storage efficiently at the end of each 1000 replication loop. I
have three conditions coded using the FOR {} loops and a FOR loop that
generates
What is the format of the data you are storing (single value,
multivalued vector, matrix, dataframe, ...)? This will help formulate
a solution. What do you plan to do with the data? Are you going to
do further analysis, write it to flat files, store it in a data base,
etc.? How big are the
Thanks for your reply. For each condition, I will have a matrix or data
frames of 1000 rows and 4 columns. I also have a total of 64 conditions for
now. So, in total, I will have 64 matrices or data frames of 1000 rows and 4
columns. The format of data I would like to store would be data frames or
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