On Mon, 29 Nov 2021 at 00:31, Jeff Newmiller wrote:
>
> This "data_long" appears to be a mess you are not satisfied with, rather than
> the "data" you started with or a model of what you want.
>
> On November 28, 2021 9:06:54 AM PST, Philip Monk wrote:
&g
for people new to R. Often there is better documentation in vignettes (so
> look for that) or in other things
> on the web.
>
> However, for me the data that was posted are mangled by the post coming in
> HTML format. Please read the
> list documentation and resubmit the question
Hello,
I have a wide table that I transform to a long table for analysis.
The wide table has 25 columns - the first is labels, then columns 2:25
are monthly data of LST which is in 19 rows.
I mutate this with :
data_long <- data %>% pivot_longer(cols = 2:25, names_to =
t people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
> On Sat, Nov 20, 2021 at 12:23 PM Philip Monk wrote:
> >
> > Thanks, Andrew. I didn't realise as.Date *only* read two formats,
like:
> >
> >
> >x <- c("28/10/2016", "19/11/2016", "31/12/2016", "16/01/2016", "05/03/2017")
> >as.Date(x, format = "%d/%m/%Y")
> >
> >
> >which produces this output:
> >
> &
1/12/2016", "16/01/2016", "05/03/2017")
> > as.Date(x, format = "%d/%m/%Y")
> [1] "2016-10-28" "2016-11-19" "2016-12-31" "2016-01-16" "2017-03-05"
> >
>
>
> much better than before! I hope
07272.3722267991.995863839
On Sat, 20 Nov 2021 at 17:08, Philip Monk wrote:
>
> 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.
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 =
Hello,
First post - apologies if I get anything wrong - either in describing the
question (I've only been using R for a week) or etiquette.
I have CSV files of Land Surface Temperature (LST) data derived from
Landsat 8 data and exported from Google Earth Engine. I am investigating
whether the
Hi All,
I have 1029 *.csv files that I would like read individually into R, delete
some columns and rename others, and then export individually using the
original file names.
I have written some script to do this for an individual file (script below),
but cannot get it to loop through all the
A.K.
Thanks for the reply. Will give it a try...
Jac
--
View this message in context:
http://r.789695.n4.nabble.com/Importing-renaming-columns-and-exporting-mulitple-csv-files-in-R-tp4676951p4676959.html
Sent from the R help mailing list archive at Nabble.com.
dear all,
i have a quite simple question, i want to fill up a Matrix like done in the
following function,
but the performance is very bad for large dimensions
is there a way to do this like with apply or something similar?
makeMatrix - function(a, b,dim) {
X=matrix(0,ncol=dim,nrow=dim)
thanks a lot , that will do the trick
--
View this message in context:
http://r.789695.n4.nabble.com/fill-Matrix-quicker-tp3710428p3710533.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
13 matches
Mail list logo
