You want to read this:
http://adv-r.had.co.nz/Exceptions-Debugging.html
It describes all the ways that R can report a problem
and all the ways you can catch such a report while still in R.
Let me heartily recommend the whole site, or better yet, the book
Thanks Avi. This is a good idea. I'm learning how to create a function in R
now and may have more questions for you. I really apricate all of your help.
Wish you have a great holiday and happy new year !Kai
On Friday, December 24, 2021, 04:54:36 PM PST, Avi Gross via R-help
wrote:
Suggestion to consider another approach:
Once various errors are fixed, the program being done basically sounds like
you want to repeat a sequence of actions one per ROW of a data.frame. As it
happens, the action to perform is based on a second data.frame given to
ggplot, with parts dynamically
Thanks Andrew. This is super helpful. --- Kai
On Friday, December 24, 2021, 02:37:14 PM PST, Andrew Simmons
wrote:
y, c, and f only exist in the context of mac2If you want to use them, you'll
have to write mac2$y, mac2$c, or mac2$f (or the [[ versions mac2[["y"]],
mac2[["c"]], or
y, c, and f only exist in the context of mac2
If you want to use them, you'll have to write mac2$y, mac2$c, or mac2$f (or
the [[ versions mac2[["y"]], mac2[["c"]], or mac2[["f"]])
Combining that with index i would then look like mac2$y[[i]] or mac2[[i,
"y"]]
Also, I think you want to use
Hello Team,
I create a csv file (mac2) to save parameter values. the file looks like:
y,c,f
hwy,cyl,hwy_cyl2
cty,class,cty_class2
Then I load the file into R and apply the parameters y, c, f in for loop, see
my code below:
library(ggplot2)
library(tidyverse)
library(readr)
mac2 <-
On Fri, 24 Dec 2021, Jeff Newmiller wrote:
The qsave/qread functions from the qs package are functionally
interchangeable with saveRDS/readRDS, but faster and create smaller files.
A simple
if ( file.exists( "obj1.qs" ) ) {
obj1 <- qread( "onj1.qs" )
} else {
obj1 <- compute_obj1()
On Fri, 24 Dec 2021, Rui Barradas wrote:
Can section Adoption of this Library of Congress link
https://www.loc.gov/preservation/digital/formats/fdd/fdd000470.shtml
help? I'm really not sure.
Rui,
After reading that interesting page I don't see how it helps me. I think
that re-running all my
The qsave/qread functions from the qs package are functionally interchangeable
with saveRDS/readRDS, but faster and create smaller files. A simple
if ( file.exists( "obj1.qs" ) ) {
obj1 <- qread( "onj1.qs" )
} else {
obj1 <- compute_obj1()
qsave( obj1, "obj1.qs" )
}
can be
Hello,
Can section Adoption of this Library of Congress link
https://www.loc.gov/preservation/digital/formats/fdd/fdd000470.shtml
help? I'm really not sure.
Happy Holidays,
Rui Barradas
Às 16:31 de 24/12/21, Rich Shepard escreveu:
On Fri, 24 Dec 2021, Adrian Dușa wrote:
Package admisc
Stephen,
I actually happen to like debates and abstractions especially covering multiple
languages and domains but not HERE. As you note, some people created this forum
for several purposes but the word HELP should provide a clue as to the main
purpose. It is not meant to teach R or do
On Fri, 24 Dec 2021, Adrian Dușa wrote:
Package admisc has a function called obj.rda(), which returns the names of
the objects from an .Rdata file. Not sure how it handles corrupt .Rdata
files, but should generally give an idea about what's inside.
Adrian,
Thank you. I know what dataframes
On Fri, 24 Dec 2021 at 17:35, Rich Shepard wrote:
> On Fri, 24 Dec 2021, Rasmus Liland wrote:
>
> > If you want to look at Rdata-files in a quick way in the
> > terminal, use this little gem in your .zshrc.local:
> >
> > readrdata() { Rscript -e "options(width=$COLUMNS); load('$1');
>
On Fri, 24 Dec 2021, Rasmus Liland wrote:
If you want to look at Rdata-files in a quick way in the
terminal, use this little gem in your .zshrc.local:
readrdata() { Rscript -e "options(width=$COLUMNS); load('$1'); sapply(ls(), get,
simplify=F)" | less }
Rasmus,
I use bash, not zsh. And
Thank you, Avi. I appreciate your reply. I agree maturing code is the
best move to answer this interrogatory. I express deep thanks for
contextualizing your response.
I also agree with you responses are becoming a pattern here. A post of
an open-ended question regarding either a conceptual or
Dear Rich,
If you want to look at Rdata-files in a quick way in the
terminal, use this little gem in your .zshrc.local:
readrdata() { Rscript -e "options(width=$COLUMNS); load('$1'); sapply(ls(),
get, simplify=F)" | less }
Merry Christmas!
Best,
Rasmus
On Thu, 23 Dec 2021, Bill Dunlap wrote:
Three things you might try using R (and show the results in this email
thread):
Bill,
* load(verbose=TRUE, ".RData") # see how far it gets before stopping
load(verbose=TRUE, ".RData")
Loading objects:
all_turb_plot
disc_all
Error in load(verbose
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