Thank you very much sir. Actually, I excluded all the non-trading days.
Therefore, Each year will have 226 observations and total 6154 observations
for each column. The data which I plotted is not rough data. I obtained the
rolling observations of window 500 from my original data. So, the no. of
ob
Hi Ek,
I thought there would be a simple fix for this, but had to write a
little function:
fillList<-function(x) {
maxrows<-max(unlist(lapply(x,length)))
return(lapply(x,"[",1:maxrows))
}
that fills up the rows of each list with NAs. I got the expected result with:
testlist<-list(a=1:8,b=1:9,c
FWIW, I had no trouble writing a test case to a file with either version of
your code. As we have no idea what your data look like, I don't know how
anyone can diagnose the problem. But maybe I'm wrong and someone else will
recognize the issue.
Cheers,
Bert
Bert Gunter
"The trouble with having a
Hi All,
I have an R object that is made up of N number of lists which are all
of different number of columns and rows. I want to combine the N
lists into a single data frame or write (append) them into text file.
I hope the question is clear and doesn’t require an example. I am
hoping to accompli
Hi Subhamitra,
Thanks. Now I can provide some assistance instead of just complaining. Your
first problem is the temporal extent of the data. There are 8613 days and
6512 weekdays between the two dates you list, but only 5655 observations in
your data. Therefore it is unlikely that you have a comple
Many thanks. I'd misread the doc re fixed, and misunderstood the number of
escapes. Sigh.
JN
On 2018-12-15 10:45 a.m., Bert Gunter wrote:
> ... or used the fixed = TRUE argument.
>
>> z <-"In Alvarez Cabral street by no. 105.\\000"
>
>> sub("\\000","", z, fixed = TRUE)
> [1] "In Alvarez Cab
... or used the fixed = TRUE argument.
> z <-"In Alvarez Cabral street by no. 105.\\000"
> sub("\\000","", z, fixed = TRUE)
[1] "In Alvarez Cabral street by no. 105."
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka
Each of the backslashes need to be escaped with a backslash:
> ctxt <- "In Alvarez Cabral street by no. 105.\\000"
> sub("000", "", ctxt)
[1] "In Alvarez Cabral street by no. 105."
---
David L. Carlson
Department of Anthropology
Texas A&M
I am trying to fix up some image files (jpg) that have comments in them.
Unfortunately, many have had extra special characters encoded.
rdjpgcom, called from an R script, returns a comment e.g.,
"In Alvarez Cabral street by no. 105.\\000"
I want to get rid of "\\000", but sub seems
to be giving
Dear listers,
There is number of requests about reading Chinese characters from Excel
or text files. I had to cope with the issue and wrote a small manual
about it. It might not be an optimal solution, but at least it works :-)
One can download the pdf at:
https://chrono-environnement.univ-fco
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