2 - X[1] * X[2]
> vorticity(c(2,1))
[1] -5
> divergence(c(2,1))
[1] 5
>
Does this help?
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicin
urther extended
for convex functions, if one can come up with a smooth function that
majorizes the convex objective function. This can be easily done for the
absolute value function.
Ravi.
----
---
Ravi Varadhan, P
using the smoothed version, or compute the areas
using tapezoidal or simpson's rule (if data is equally spaced).
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Divisi
Hi, there was a typo in the last formula of my previous email. The correct
formula is:
mean life time = int_{0} ^{\inf} u * f(u) du
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and
I think it is meaningful to ask for a non-trivial Pr (X < x, Y=y) when you
are writing down the likelihood for parameter estimation. This is commonly
the case in likelihood estimation in bivariate failure time models. If one
interprets Pr(Y=y) as the density evaluated y then:
Pr(Xhttp://www.jh
;
?optim
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/aginga
the
approaximation, if you know that. If these thresholds are too high to be
appropriate for your objective, then you can increase the accuracy of your
numerical approximation and obtain a smaller threshold.
Ravi.
Ravi
en( solve(ans$hess) )$val
Hope this is helpful,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (41
n both the shape and the
rate parameter (hence a different optimziation algorithm will be used in
"optim").
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
Scho
del2, model1)
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Serguei Kaniovski
Date: Wednesday, December 24,
nction(p)
x1 <-seq(-5, 5, length=100)
plot(x1, fn(x1),type="l")
lines(x1, pfunc(x1), col=2, lty=2)
solve(p) # gives you the roots (some are, of course, complex)
Hope this helps,
Ravi.
____
Ravi Varadhan, Ph.D.
Ass
rn the function values at all the points in the vector.
"sapply" is an easy way to do this.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medic
able to come up with multiple (sensible) starting
values.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
.
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: June Wong
Date: Wednesday, Janu
largest model, i.e
none of the variables in the largest model should have any missing values.
Then run stepAIC on this dataframe.
Best,
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and
I assume that you are looking to solve, in R, the constrained optimization
problem:
H (u1, u2) = a*u1+b*u2+c*f1(u2)+lambda*(x')
with constraints: 0
Date: Thursday, February 5, 2009 8:47 am
Subject: [R] optimal control, maximization with several variables?
To: R-help@r-project.org
>
ve more general equality/inequality
constraints
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rva
36.29
at x=0.
If the singularity at x=0 is not an essential one, you may be able to
anayticallty remove this singularity.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
Webpage: http://www.jhsph.edu
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
Webpage: http://www.jhsph.edu/agingandh
information from the second reference).
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502
,
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad
s-Legendre quadrature.
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410
ontrol the frequency of output, i.e. settig triter=1,
will give you the fn and gr values at each iteration.
library(BB)
?spg
Hope this helps,
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on
.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
Webpage: http://www.jhsph.edu
Check out the crr() function in the same package:
library(cmprsk)
?crr
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502
Check out:
?optim
?nlminb
Ravi.
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
Try the package "Rdonlp2", which can handle general, nonlinear, equality and
inequality constraints for smooth optimization problems.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Me
Deriv"
package.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message
.02357989
$v
[,1] [,2][,3]
[1,] 0.08585595 -0.2420411 0.96645997
[2,] 0.40826313 -0.8763116 -0.25573252
[3,] 0.90881790 0.4165261 0.02357989
>
Ravi.
----
---
Ravi Varadhan, Ph.D.
Ass
You got an "A+" on the homework, Doug!
I got a "C-" for suggesting svd(), which clearly doesn't yield a lower (or
upper) triangular factorization.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assist
?try
For example,
for (i in 1:n) {
try (fit <- nls(...), silent=TRUE)
if (class(fit) != "try-error") dowhateverthatneedstobedonewiththeresults
else fit <- NA
}
Ravi.
----
---
Ravi Varadhan,
Look at:
?update
For example:
lm.obj <- lm (y ~ x1 + ... + x300)
lm.obj1 <- update(lm.obj, . ~ . - x1)
lm.obj2 <- update(lm.obj1, . ~ . - x2)
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of
systems to solve a univariate problem, but it seems to work.
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopk
guidance.
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Paul Smith
Date: M
the penalty
}
ans
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvarad...@jhmi.edu
We
lier
f[2] <- 1 + 2 * x[2] * x[3]
f[3] <- x[1]^2 + x[2]^2 - 1 # the equality constraint
f
}
dfsane(par=rep(0, 3), fn=f2)
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
D
ys).
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: joris meys
Date: Tuesday, March 17, 2009 7:37 pm
Subject: [R] Likel
he R users
for "directly" solving nonlinear systems. Now, there are two solid
alternatives.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geri
t be to get Trevor Hastie or Bill Cleveland to help you
out.
But, before that: why is this an issue, Rolf? Is it important that these two
results be identical?
Best,
Ravi.
____
Ravi Varadhan, Ph.D.
Assistant Professor,
Div
ev=1:5)
eigen(pdmat)$val
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.j
just calling routines that each calls a number of
other subroutines. So, unless you are willing to spend a great deal of
time, you may not be any wiser at the end of all this.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant P
indows, for
example):
C:\Program Files\R\R-2.6.1/src/library/mypkg/src
For building R from source check the R-FAQ.
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Healt
ics 1993,
p. 623-630), which discusses numerous examples of overdispersion in binary
data.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Ger
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agingandhealth/People/Faculty/Varadhan.
Try a different set of starting values for alpha & beta.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hop
quot;thinks" that it
has been modified ???
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Try this:
m <- seq(-1,1,0.1)
x1 <- vector(length=length(m))
x2 <- vector(length=length(m))
for(i in m){
x1[i] <- i
x2[i] <- i^2
}
dat <- data.frame(x1,x2)
Ravi.
----
---
Ravi Varadhan
er than multiplicative, it has better numerical conditioning.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins Unive
lt;- plot(fit, drv=2) # plot and store second derivative
Hope this helps,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns
Hi,
If you didn't receive the attachment properly, here it is again.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
unction(n) {integrate(fx, lower=0, upper=Inf, n=n)$val}
> grad(x=3, func=gf)
[1] 7.536706
>
> grad(x=10, func=gf)
[1] 8534040
>
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging an
n)$val}
library(numDeriv)
fx <- function(x, n) exp(-x) * x^n
gf <- function(n) {integrate(fx, lower=0, upper=Inf, n=n)$val}
> grad(x=6, func=gf)
[1] 1348.405
>
> df(6)
[1] 1348.405
>
Ravi.
----
unctn = fxyz, eps=1.e-03)
This approach can be very inefficient depending upon how big the 3-dim
hyper-rectangle is compared to the actual region over which the integrand is
non-zero.
Ravi.
----
---
Ravi Varadhan, Ph.D.
number as a surrogate for Inf.
What is the specific problem or distribution that you are having trouble
with in using integrate()?
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
You just need to return the values computed when a==0 and when a!=0.
a=0
f=function(x,y,z=0) {
if (a==0) return(x[1]+x[2]+y)
if (a!=0) return(x[1]+x[2]+y+z)
}
> f(1:2,3)
[1] 6
>
Ravi.
---
Ravi Va
hank you very much.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsp
ontact the package developer to provide an option for computing
1 - pghyp by specifying an option such as lower.tail=FALSE, as it is done
with pnorm(). This would also solve your problem.
Hope this helps,
Ravi.
----
Thank you, Vince.
Best,
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410
after the ellipsis.
Best,
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410
eatly appreciated.
Thanks very much.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL P
Thank you,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http:
lihood?
Can anyone help me figure out why this diescrepancy exists?
Thanks very much,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
6 vs 0.86. In
any case, the point is not whether the differences in coefficient affect
interpretation of the model, but to understand why there are differences in
the results.
Best,
Ravi.
----
---
Ravi Varadhan, Ph.
Terry Therneau knows the answer?!
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agin
].
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agingandhealth/Peop
cites F&H for the data).
Best regards,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502
selection, the criterion
that is optimized is never explicitly considered.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hop
ute everything to
the model fit, while the remaining PCs will contribute zilch. They
illustrate this phenomenon with a "real" data set from a classic text on
regression, Draper and Smith.
Ravi.
----
---
Ravi V
Here is a simple trapezoidal rule integrator:
x <- time
y <- value
area <- sum(diff(x)*(y[-1]+y[-length(y)]))/2
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Di
7997001
[1] -0.8000667 0.4000334
[1] -0.7998402 0.7998402
[1] -0.7999802 0.7999802
[1] -0.8000209 0.4000104
[1] -0.7999802 0.7999802
$maximum
[1] -0.7999802
$objective
[1] 0.7999802
Best,
Ravi.
----
---
Ravi Var
Check out the function coxpath() in the package "glmpath". This is a better
approach than doing stepwise covariate selection.
Best,
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on
The local maximum (x* = 0.106) found by the golden-section search does lie
in the interval [x_1, x_2]. So, it is consistent with the explanation on
the help page.
---
Ravi Varadhan, Ph.D.
Assistant Professor, The
Please read the relevant help pages:
?fivenum
?boxplot.stats
Hint: Length of your data vector is an "even" number.
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
D
Try:
help.search("run")
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
rally has more robust convergence than the default "Gauss-Newton"
with a Marquardt-type modification.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatr
vailable
in R.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/a
of course, has a smaller norm than (0, 0.4).
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410
ls.min(x,y)
[,1]
[1,] 0.26
[2,] 0.76
>
>
Best,
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-261
the "badx" object from your website into my R session?
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
E
mportance of F to
G.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph
necessarily exist, one needs to define a scalar
function that strikes a compromise between f and g.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicin
is already for SVD).
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agi
different.
Thanks for pointing this out.
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502
t steeper, but simply higher.
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTECTED]
Webpage: http://www.jhsph.edu/agingand
?vcov
You can use vcov(lm.obj) to extract the covariance matrix, where "lm.obj" is
your fitted object from lm().
Ravi.
-------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
D
If you want to generate log-normally distributed random numbers, see:
?rlnorm
Note: X is said to be log-normally distributed when log(X) is normally
distributed.
Ravi.
---
Ravi Varadhan, Ph.D.
Assistant
hine
precision (i.e. 16 digits)
Ravi.
----
---
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: [EMAIL PROTE
Hi,
I would like to execute the following vectorized calculation:
ans <- ifelse (k >= -1 & k <= n, pbeta(p, k+1, n-k, lower.tail = FALSE),
ifelse (k < -1, 0, 1) )
For example:
> k <- c(-1.2,-0.5, 1.5, 10.4)
> n <- 10
> ans <- ifelse (k >= -1 & k <= n, pbeta(p,k+1,n-k,lower.tail=FALSE), ifels
regards,
Ravi
From: John Fox
Sent: Thursday, October 7, 2021 2:00 PM
To: Ravi Varadhan
Cc: R-Help
Subject: Re: [R] How to use ifelse without invoking warnings
External Email - Use Caution
Dear Ravi,
It's already been suggested that you could disable w
Hi,
I am developing a package where I would like to utilize multiple cores for
parallel computing. However, I get an error message when I run R CMD check
--as-cran.
I read that CRAN limits the number of cores to 2. Is this correct? Is there
any way to overcome this limitation?
Thank you,
Rav
This is the specific error messsage from R CMD check --as-cran
Error in .check_ncores(length(names)) : 16 simultaneous processes spawned
Calls: prepost -> makeCluster -> makePSOCKcluster -> .check_ncores
Execution halted
Thanks,
Ravi
____
From: Ravi
Dear Henrik,
Thank you! This is quite helpful, especially your longer blog post.
Best regards,
Ravi
From: Henrik Bengtsson
Sent: Sunday, July 2, 2023 4:33 AM
To: Ravi Varadhan
Cc: R-Help
Subject: Re: [R] Number of Cores limited to two in CRAN
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