I need a R-code for a situation that is well described in the sas help. I
would be very grateful for the help!
"Time-dependent variables can be used to model the effects of subjects
transferring from one treatment group to another. One example of the need
for such strategies is the Stanford heart t
I need a R-code for a situation that is well described in the sas help. I
would be very grateful for the help!
"Time-dependent variables can be used to model the effects of subjects
transferring from one treatment group to another. One example of the need
for such strategies is the Stanford heart t
Oh, and if you wish to fake a famous name for your signature, you should
get it right: it's Évariste Galois.
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 Fri
A search on rseek.org on "exact poly-k test" brought up several hits. Did
you not try this? Are none of the hits suitable?
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 st
Hello All,
I am looking for a package with an R implementation of the Exact Poly-K
Test; any feedback will be greatly appreciated.
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https:/
It appears that at the bottom of the nesting, so to speak, you have a character
matrix.
That is, the contents of the [[1]][[1]][[1]] element is a character matrix
that, according to the row and column labels, has 4 rows and 5 columns.
However, the matrix itself, as printed, has, apparently, 4 col
Since you cannot show the data you have have to learn some R debugging
techniques.
Here is some data that look something like yours and I want to delete rows
of character
matrices whose first entry starts with a space.
FF <- lapply(1:2,function(i)lapply(1:3, function(j) lapply(1:2,
function(k)
A partial dput is no help at all. A complete dput of part of your data is much
more likely to be helpful, but only if you see the same problem in it as you do
in the full data set.
As to private data... if you want data handling help in a public forum then you
need to create a small set of data
Thank you Jeff and Bert. I know i have to use dput add provide a
reproducible example. The problem is that the output,is huge, has many
nested lists, and the info is private.
Here is the first line of dput(FF) if it helps:
dput(FF)
list(list(list(structure(c("12/30 12/30", "01/02 01/02", "01/02 0
Can you supply the output of
dput(FF)
?
On November 2, 2018 8:00:08 AM PDT, Ek Esawi wrote:
>Hi All,
>
>I have a list that is made up of nested lists, as shown below. I want
>to remove all rows in each sub-list that start with an empty space,
>that’s the first entry of a row is blank; for examp
If you learn to use dput() to provide useful examples in your posts, you
are more likely to receive useful help. It is rather difficult to make much
sense of your messy text, though some brave soul(s) may try to help.
Bert Gunter
"The trouble with having an open mind is that people keep coming al
Hi All,
I have a list that is made up of nested lists, as shown below. I want
to remove all rows in each sub-list that start with an empty space,
that’s the first entry of a row is blank; for example, on
[[1]][[1]][[1]] Remove row 4,on [[1]][[1]][[3]] remove row 5, on
[[1]][[2]][[1]] remove row 6,
You have not provided any information that leads you to write 'it is not
working'.
Can you be specific?
Are you getting error messages? What are they?
etc
etc
On Fri, Nov 2, 2018 at 12:33 PM Subhamitra Patra
wrote:
> ts= India[-1,]
> N<-ncol(ts)
> width <- 500
> M <- nrow(ts) - width
> r<-matri
ts= India[-1,]
N<-ncol(ts)
width <- 500
M <- nrow(ts) - width
r<-matrix(0, ncol = N, nrow = M)
library(pracma)
for (i in 1:N){
r[,i]<-rollapply( data=ts[,i], width=width, FUN=approx_entropy, edim
= 2, r = 0.2*sd(ts[,i]), elag = 1, align="right")
}
This is my entropy value which I am interes
How about something like this:
ts= India[-1,] #For deleting the year row
N<-ncol(ts)
width <- 500
M <- nrow(ts) - width
r<-matrix(0, ncol = N, nrow = M)
library(pracma)
for (i in 1:N){
r[,i]<-rollapply( data=ts[,i], width=width, FUN=approx_entropy, edim
= 2, r = 0.2*sd(ts[,i]), elag =
Thank you for the clarification. I checked and there was a small
mistakes in the code. Now my code is
ts= India[-1,] #For deleting the year row
N<-ncol(ts)
r<-matrix(0, ncol = N, nrow = 1)
library(pracma)
for (i in 1:N){
r[i]<-approx_entropy(ts[,i], edim = 2, r = 0.2*sd(ts[,i]), elag
Hi,
You have some problems with your setup. You set N based on the number of
rows in ts, but then in the call to approx_entropy you write ts[,i].
Note that ts[,i] is the i'th column of ts, whereas your definition of i
implies it is based on row numbers.
Maybe this is leading you to see problems el
Dear all R users,
I want to apply the entropy methods in rolling window analysis. I tried
with the rollapply function, but it is not working. For your convenience, I
am providing my code so that you can easily suggest me the application of
rolling window in the particular methodology. Here is my c
Hi,
I see an R user chooses the lag of Granger causality by finding out the
lag for the most significant result
https://www.r-bloggers.com/granger-causality-test/
Is it generally legitimate to do so, without determining the lag first
by AIC or BIC?
Thanks,
John
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