Did you even make an attempt to do this? -- or would you like us do all
your work for you?
If you made an attempt, show us your code and errors.
If not, we usually expect you to try on your own first.
If you have no idea where to start, perhaps you need to spend some more
time with tutorials to le
Hi R users,
I have a folder (called genotype) with 652 files; the file names are
GTEX-1A3MV.out, GTEX-1A3MX.out, GTEX-1B8SF.out, etc; in each file, only one
column of data without a header as below
201
2/2
238
3/4
245
1/2
.
983255
3/3
983766
None
A total of 20528 rows;
I need to read al
On 20/12/19 1:30 am, Bert Gunter wrote:
"But the important point is:
If you know the structure of the data you want to
parse, then it is best to tell R (or any other language)
this structure explicitly. "
Fortune nomination!
Second the nomination!
cheers,
Rolf Turner
--
Honorary Research Fe
Val
Another all-base R solution:
as.Date(strptime(gs$date,format="%m/%d/%y"))
or if you want to add a time field later
as.POSIXct(strptime(gs$date,format="%m/%d/%y")))
since strptime produces a list version of the date: class is POSIXt and the
subclass is POSIXlt, that can be convenient for e
(Apologies for cross-posting)
Dear Colleagues,
The ASA Section on Statistical Computing and Section on Statistical Graphics
are inviting nominations of deserving individuals or teams for the 2021 ASA
Statistical Computing and Graphics Award
(https://community.amstat.org/jointscsg-section/award
I agree that having convenience functions can be in the spirit of R, but I find
that lubridate puts the cart before the horse so I avoid it. Specifically, the
conceptual sequence
- convert character to timestamp in GMT
- "fix" erroneous timestamps to correct time zone
more inefficient and error
Hi,
AR<-c(.4,.45)
MA<-c(1,.25)
ARMAtoMA(ar =AR, ma = MA, lag.max = 30)
picoefs <- c(1, ARMAtoMA(ar = -MA, ma = -AR, lag.max = 30))
picoefs
Maybe it works!
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R-help@r-project.org mailing list -- To U
[ ... taking the bait regarding the "unnecessary discussion" ... ]
The "Fortune nomination" that Bert sent includes the phrase
"...then it is best to tell R ..."
What metric is being used to do the ranking to get the "best"? If the
metric is related to "providing the most unambiguous information
"But the important point is:
If you know the structure of the data you want to
parse, then it is best to tell R (or any other language)
this structure explicitly. "
Fortune nomination!
-- Bert
Thu, Dec 19, 2019, 2:49 AM Enrico Schumann wrote:
>
> Quoting Eric Berger :
>
> > Martin writes
Quoting Eric Berger :
Martin writes: "there's really no reason for going beyond base R"
I disagree. Lubridate is a fantastic package. I use it all the time. It
makes working with dates really easy, as evidenced by John Kane's
suggestion. I strongly recommend learning to work with it.
The bo
Martin writes: "there's really no reason for going beyond base R"
I disagree. Lubridate is a fantastic package. I use it all the time. It
makes working with dates really easy, as evidenced by John Kane's
suggestion. I strongly recommend learning to work with it.
The bottom line: as is often the
> John Kane
> on Tue, 17 Dec 2019 20:28:17 -0500 writes:
> library(lubridate)
> gs$dat1 <- mdy(gs$date)
there's really no reason for going beyond base R.
Using the proper format as per Patrick and Peter's advice
(below) is perfectly clear and actually
more robust (for the
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