This seems to be a topic that comes up periodically. The various ways in R
and other packages for reading in data often come with methods that simply
guess wrong or encounter one or more data items in a column that really do
not fit so fields may just by default become a more common denominator of
I am. Long day, poorly small children!
P
On Sat, 20 Nov 2021, 21:08 Bert Gunter, wrote:
> "I also know that '/' is a special character in R (if that's the right
> term) "
>
> That is false. I think you are confusing "/" with "\", which is R's
> *escape* character.
>
> > cat("a/nb")
> a/nb
> >
"I also know that '/' is a special character in R (if that's the right term) "
That is false. I think you are confusing "/" with "\", which is R's
*escape* character.
> cat("a/nb")
a/nb
> cat("a\nb")
a
b
It gets confusing especially in regex's, because "\" is used in regex
syntax also.
Bert Gun
Thanks, Jeff.
I follow what you're doing below, but know I need to read up on Date /
POSIXct. Helpful direction! :)
On Sat, 20 Nov 2021 at 18:41, Jeff Newmiller wrote:
>
> Beat me to it! But it is also worth noting that once converted to Date or
> POSIXct, timestamps should be treated as data
Thanks, Andrew. I didn't realise as.Date *only* read two formats, I
think I was tripped up by using %y instead of %Y, though I also know
that '/' is a special character in R (if that's the right term) and as
such know there is special syntax to use (which I don't know).
On Sat, 20 Nov 2021 at 18:
Beat me to it! But it is also worth noting that once converted to Date or
POSIXct, timestamps should be treated as data without regard to how that data
is displayed. When you choose to output that data you will have options as to
the display format associated with the function you are using for
The as.Date function for a character class argument will try reading in two
formats (%Y-%m-%d and %Y/%m/%d).
This does not look like the format you have provided, which is why it
doesn't work. Try something like:
x <- c("28/10/2016", "19/11/2016", "31/12/2016", "16/01/2016", "05/03/2017")
as.Da
Thanks Eric & Jeff.
I'll certainly read up on lubridate, and the posting guide (again)
(this should be in plain text).
CSV extract below...
Philip
Buffer28/10/201619/11/201631/12/201616/01/201705/03/2017
1002.437110889-8.696748953.2392998162.4431833042.34
a) R data frames are column oriented. Do not fight this.
b) Data frame header names are character type. Period. Do not fight this.
It sounds like you need to reshape your data after you read it in. Provide the
first five lines of your CSV file (or a reasonable facsimile if your data are
confide
Hi Philip,
This is a recurring question and there are many ways to do this.
My preference is to use the lubridate package.
library(lubridate)
a <- "15/01/2010"
b <- dmy(a)
b
# "2010-01-15"
class(b)
# [1] "Date"
HTH,
Eric
On Sat, Nov 20, 2021 at 7:09 PM Philip Monk wrote:
> Hello,
>
> Simple b
Hello,
Simple but infuriating problem.
Reading in CSV of data using :
```
# CSV file has column headers with date of scene capture in format
dd/mm/
# check.names = FALSE averts R incorrectly processing dates due to '/'
data <- read.csv("C:/R_data/Bungala (b2000) julian.csv", check.names =
FA
Please read and follow the posting guide linked below, which says:
"For questions about functions in standard packages distributed with R
(see the FAQ Add-on packages in R), ask questions on R-help.
If the question relates to a contributed package , e.g., one
downloaded from CRAN, try contacting t
Agreed... This Is The Way.
To interactively sit at the R console and type in commands without keeping
those commands in an editor and running them from scratch periodically to
insure that they achieve your goals is a only a recipe for mystery, not for
data analysis.
R is a tool for transformin
Hello,
You can get all objects to be changed into a list, change the list's
names attribute and assign back to the globalenv. Something like the
following.
First see if the objects exist in the global env.
ls()
#[1] "meb1.p.emb" "meb2.p.emb" "mec1.p.emb" "mec2.p.emb"
#[5] "mej12.p.emb" "me
windowSize <- 114L
myData <- c(270.462263440434, 272.664102077857, 269.796430162527,
265.715722218109,
264.406853005756, 265.084587771026, 264.098291489715, 260.43527948116,
258.516029706132, 257.495599873085, 256.301471509598, 257.3508273663,
255.286756542046, 253.920890634228, 252.536181194196,
I need help to understand why this fails:
windowSize <- 114L
myData <- c(270.462263440434, 272.664102077857, 269.796430162527,
265.715722218109,
264.406853005756, 265.084587771026, 264.098291489715, 260.43527948116,
258.516029706132, 257.495599873085, 256.301471509598, 257.3508273663,
255.2867565
Error from this try: (data below)
library(tsmp)
mp.obj <- stomp(myData, window_size = windowSize) #ok
find_discord(mp.obj, data=input.dt$MeasurementValue)
## Warning in dist_profile(data, data, nn, window_size = .mp$w, index =
discord_idx) :
## Warning: Result may be inconsistent if the size o
On 20/11/2021 5:27 a.m., Steven Yen wrote:
I have named NUMEROUS objects (each containing, e.g., 48 obs. of 5
variables), such as
mec1.p.emb
mec2.p.emb
meb1.p.emb
meb2.p.emb
mej12.p.emb
mej22.p.emb
How would I rename these objects removing the silly ".emb", into objects
I have named NUMEROUS objects (each containing, e.g., 48 obs. of 5
variables), such as
mec1.p.emb
mec2.p.emb
meb1.p.emb
meb2.p.emb
mej12.p.emb
mej22.p.emb
How would I rename these objects removing the silly ".emb", into objects
mec1.p
mec2.p
meb1.p
meb2.p
mej12.p
mej22.p
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