В Wed, 10 Apr 2024 09:33:19 +0200
Sigbert Klinke пишет:
> decreasing=c(F,F,F)
This is only documented to work with method = 'radix':
>> For the ‘"radix"’ method, this can be a vector of length equal to
>> the number of arguments in ‘...’ and the elements are recycled as
>> necessary. For the
Hi,
you are unfortunately right. Executing
x <- sample(c(1,2,NA), 26, replace=TRUE)
y <- sample(c(1,2,NA), 26, replace=TRUE)
o <- order(x, y, decreasing = c(T,F), na.last=c(F,T))
cbind(x[o], y[o])
shows that the second entry of na.last is ignored without warning.
Thanks Sigbert
Am 10.04.24
Hi,
when I execute
order(letters, LETTERS, 1:26)
then everything is fine. But if I execute
order(letters, LETTERS, 1:26, na.last=c(T,T,T), decreasing=c(F,F,F))
I get the error message
Error in method != "radix" && !is.na(na.last) :
'length = 3' in constraint to 'logical(1)'
Shouldn't both
Às 06:47 de 08/04/2024, Dave Dixon escreveu:
Greetings,
I have a csv file of 76 fields and about 4 million records. I know that
some of the records have errors - unmatched quotes, specifically.
Reading the file with readLines and parsing the lines with read.csv(text
= ...) is really slow. I
It sounds like the discussion is now on how to clean your data, with a twist.
You want to clean it before you can properly read it in using standard methods.
Some of those standard methods already do quite a bit as they parse the data
such as looking ahead to determine the data type for a
That's basically what I did
1. Get text lines using readLines
2. use tryCatch to parse each line using read.csv(text=...)
3. in the catch, use gregexpr to find any quotes not adjacent to a comma
(gregexpr("[^,]\"[^,]",...)
4. escape any quotes found by adding a second quote (using str_sub from
Dave,
Your method works for you and seems to be a one-time fix of a corrupted data
file so please accept what I write not as a criticism but explaining my
alternate reasoning which I suspect may work faster in some situations.
Here is my understanding of what you are doing:
You have a file in
Dear all;
Thank you for your reply.
David has explained an interesting method.
David I have DEM file of the region and I have extracted the xyz data from
that.
Also I can extract bathymetry data as xyz file.
I have calculated the storage (volume) of reservoir at the current
elevation.
But the
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