On 29/07/18 02:54, Jeff Newmiller wrote:
1) I don't know... it looks to me like you did not run my code.
Aaaarrrgghhh. I *thought* I had, but instead left "fill=Type" inside
the aes() call and neglected to add fill=NULL outside this call.
Du!!! It's tough being mentally challenged,
dear peter,
Its workingthanks a lot...
yours sincerely,
AKSHAY M KULKARNI
From: Peter Langfelder
Sent: Saturday, July 28, 2018 11:41 AM
To: akshay...@hotmail.com
Cc: r-help
Subject: Re: [R] subsetting ls() as per class...
Looking at ?rm,
Thank you Jeff. Yes, certainly, I posted a message on BioC too, although I
have not received any suggestions by now.
On Sat, Jul 28, 2018 at 8:05 AM, Jeff Newmiller
wrote:
> My suggestion is to pay attention to Boris and ask people who do this kind
> of plotting frequently... and they are
> objClasses <- unlist(eapply(.GlobalEnv, function(x)class(x)[1]))
> head(objClasses)
f E
"function" "environment"
df h
"tbl_df""function"
myData L
"list""list"
> names(objClasses)[objClasses=="tbl_df"]
My suggestion is to pay attention to Boris and ask people who do this kind
of plotting frequently... and they are typically found on the Bioconductor
mailing list, not this list.
On Sat, 28 Jul 2018, Bogdan Tanasa wrote:
Dear Boris,
good morning, and thank you for your message. After
Dear Boris,
good morning, and thank you for your message. After thinking a bit more
yesterday, I believe that I could adapt the functionality of some R
packages that display the synteny regions across multiple species (here
please see an example Figure 1 from http://www.g3journal.org/
1) I don't know... it looks to me like you did not run my code. I have
included a complete reprex below... try it out in a fresh session. If you
still get the problem, check your sessionInfo package versions against
mine.
2) This still smells like your fill parameter is inside the aes
Christofer Bogaso writes:
Hello
In case you have conflicting data issue when you load data, you can also do it
the other way around. Indeed you never know when a possible conflict might
occur in the future.
The following line load the data in a new environment e first then get it back
to
Maybe the Bioconductor package "intansv" can help you. You asked for linear
chromosomes, but such data is commonly plotted in Circos plots as e.g. with the
Bioconductor OmicsCircos package (cf.
https://bioconductor.org/packages/devel/bioc/vignettes/OmicCircos/inst/doc/OmicCircos_vignette.pdf)
Hi!
Maybe not the most elegant solution, but a workaround is to have a
function:
> save2<-function(y, ...) { save(y,...)}
> save2(x1,x2,file="test.RData")
The point is to include the variables to be "renamed" as parameters (in
my example: y). The function will use the parameter variable names
Hi,
Let say I have 2 objects as below
x1 = 1:3
x2 = 5:4
Now I want to save both x1 and x2 in some RData file, however x1 will be
saved with a different name e.g. y
I tried below
save(y = x1, x2, file = "file.RData")
However still they are saved in their original names i.e. x1 and x2, not y
The ll() function of R.oo returns a data.frame with various attributes that
you can subset on, e.g.
> subset(R.oo::ll(), data.class %in% c("zoo", "xts"))
member data.class dimension objectSize
2 fzzoo10 1344
4 sample.xtsxts c(180,4) 10128
5
On 28/07/18 17:03, Jeff Newmiller wrote:
When you understand the strong dependence on how the data controls
ggplot, using it gets much easier. I still have to google details
sometimes though. Note that it can be very difficult to make a weird
plot (e.g. multiple parallel axes) in ggplot
Dear all,
we wish you a fruitful and refreshing weekend ! Thought that I may also
write to ask you for a suggestion, specifically if you could please advise
on whether there is any package already built (in R) that could help with
the following data visualization :
we have a set of
You can extract the names into a character vector with ls and then use
grep(..., values=TRUE ) to select which ones you want to remove, and then pass
that list to rm.
However, due to the way R handles memory you are unlikely to see much savings
by doing this. I would recommend focusing on
Looking at ?rm, my solution would be something like
rm(list = grep("\\.NS$", ls(), value = TRUE))
But test it since I have not tested it.
Peter
On Fri, Jul 27, 2018 at 10:58 PM akshay kulkarni wrote:
>
> dear memebers,
>I am using R in AWS linux instance for
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