We want to perform a survival analysis using time-dependent covariates in
the Cox
regression. In this analysis, ESRD1_END and ESRD1_TIME are the outcome and
follow-up time,respectively. AKI_END is a binary time-dependent variable,
while
AKI_TIME is the time point for AKI_END measurement. The Cox mo
You should (almost) always also reply to the list, especially in this case,
where others my also fail to help because they perceive your query as
homework.
However, I should warn you that such comprehensive queries are often
dismissed as "do my work for me" requests. See the Posting Guide linked
b
This list has a no homework policy.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Mar 20, 2019 at 8:54 AM smart hendsome via R-help <
r-help@r-project.or
Dear Simon,
Thank you for your response! I was not able to provide you with the requested
information at an earlier stage since I am not a full time academic /
researcher.
An example of a bam call that may result in an error is:
bam(formula=Di ~ 1 + Gender + I(L_Dis==0) + s(DisPerc, by=as.numer
Statements like c(rbind(x, xx+yy), max(t)) and rep(0,length(df$b[1])) don't
make any sense. You're example will be easier to understand if you show us the
nrow(df) ==3
case. Thanks
Grant Izmirlian, Ph.D.
Mathematical Statistician
izmir...@mail.nih.gov
Delivery Address:
9609 Medical Center Dr,
Dear Kim
See inline
On 19/03/2019 22:29, Kim Jacobsen wrote:
Mailing list now included (apologies, first time I post anything so not
quite sure how it works).
You are quite right, it was a typo. I meant to write that
plot.xmean.ordinaly(). So please let me correct my last statement: the
plot.x
Hi R-user,
I have a problem regarding to estimate lambda[r] by minimizing the convex
function using conjugate gradient in R-programming. The function as below:
Hopefully, anybody in this forum can help me. Thanks so much.
__
R-help@r-project.org maili
R is *not* RStudio. Please go to the RStudio site, not here, for help with
that software.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Mar 20, 2019 at
Please study the documentation to which you were referred. This list is not
appropriate for comprehensive tutorials, which is what you need, although
all help is of course in some sense a tutorial.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking thi
>From previous posting:
"This is my function:
wilcox.test(A,B, data = data, paired = FALSE)
It gives me high p value, though the median of A column is 6900 and B
column is 3500.
Why it gives p value high if there is a difference in the median?"
Let's examine your choice to use the Wilcoxon tes
Hello dear friends,
What I want is to, somehow data.frame the summary of a stepwise regression
(the estimated coefficients and p-values) to show them as a report in table
format. However I have not been able to do that.
Any help and/or guidance will be greatly appreciated, below are all the
detai
On Wed, 20 Mar 2019 09:59:21 +0100
Sandra Elisabeth Chaudron wrote:
> I am using the server version of RStudio and I have a script where I
> want to activate the conda environment that I set up for a
> bioinformatic tool called MinVar.
> For that I use in my script the command: system("source
> /
Hi,
I am using the server version of RStudio and I have a script where I want
to activate the conda environment that I set up for a bioinformatic tool
called MinVar.
For that I use in my script the command: system("source
/home/ubuntu/miniconda3/bin/activate minvar"). I provide the path to
activate
Mailing list now included (apologies, first time I post anything so not
quite sure how it works).
You are quite right, it was a typo. I meant to write that
plot.xmean.ordinaly(). So please let me correct my last statement: the
plot.xmean.ordinaly() command and plot() command are interchangeable as
Of course, you might just try a more powerful approach. Duncan responded to the
obvious issue earlier,
but the second problem seems to need the analytic derivatives of the nlsr
package. Note that
nlsLM uses the SAME very simple forward difference derivative approximation for
the Jacobian.
Optimi
On Wed, 20 Mar 2019 09:43:11 +
akshay kulkarni wrote:
> But doesn't removing some of the parameters reduce the precision of
> the relationship between the response variable and the
> predictors(inefficient estimates of the coefficients)?
No, it doesn't, since there is already more variables
On Wed, 20 Mar 2019 08:02:45 +
akshay kulkarni wrote:
> formulaDH5 <- as.formula(HM1 ~ (a + (b * ((HM2 + 0.3)^(1/2 +
> (A*sin(w*HM3 + c) + C))
The problem with this formula is simple: the partial derivative with
respect to `a` is the same as the partial derivative with respect to
`C`. Th
Dear Simon,
Thank you for your response! I was not able to provide you with the requested
information at an earlier stage since I am not a full time academic /
researcher.
An example of a bam call that may result in an error is:
bam(formula=Di ~ 1 + Gender + I(L_Dis==0) + s(DisPerc, by=as.numer
18 matches
Mail list logo
