Dear all,
assuming that I do have a dataframe like :
x <- data.frame(TYPE=c("DEL", "DEL", "DUP", "TRA", "INV", "TRA"),
CHRA=c("chr1", "chr1", "chr1", "chr1", "chr2", "chr2"),
POSA=c(10, 15, 120, 340, 100, 220),
CHRB=c("chr1", "chr1", "chr1", "chr2", "chr2", "chr1"),
POSB=c(30, 100, 300, 20, 200,
> On 25 Jul 2018, at 08:17, Naresh Gurbuxani
> wrote:
>
> I have a list whose components are data frames. My goal is to construct a
> data frame by merging all the list components. Is it possible to achieve
> this using apply and without a for loop, as used below?
>
> Thanks,
> Naresh
>
Thank you all. Think I did solve it by using the code below :
plot(g_decompose[[1]], edge.color=edge_attr(g_decompose[[1]])$COLOR)
plot(g_decompose[[2]], edge.color=edge_attr(g_decompose[[2]])$COLOR)
On Tue, Jul 24, 2018 at 5:48 PM, Bogdan Tanasa wrote:
> Dear all,
>
> I would appreciate a pie
Dear all,
I would appreciate a piece of advice please : I am aiming to color the
edges in a graph, by using IGRAPH package.
It works well for the big braph, however, when I decompose the graph into 2
subgraphs and color code those, the color of the edges change
(unexpectedly).
more precisely, as
> On Jul 23, 2018, at 4:43 AM, Maria Enzian wrote:
>
>
>
> Hello,
> I'm using the package pROC in RStudio to create my ROC-curves and I have
> patients in my data - healthy or sick - in the column "Status" and the value
> "SUVmax" to examine it.
> I used the following code:
> plot.roc(daten
1. Unless there is good reason not to, always cc the list, which I have
done here.
2. I should have added that memory usage and possible swapping issues also
depends on what other software you have running, not just on how much
memory you have.
In other words, I see no way to answer your question
Depends somewhat on what you are doing in the loop and how much of a
performance hit you are willing to accept. [1]
[1]
https://stackoverflow.com/questions/7891073/time-out-an-r-command-via-something-like-try
On July 24, 2018 3:17:41 AM PDT, Christofer Bogaso
wrote:
>Hi,
>
>Let say I am imple
R users may or may not be aware of the long history of some of the codes
and algorithms used by base R and by packages. There is a small effort
under way to try to document and improve understanding of these, and
R Consortium has allocated some funds. We've now got a Working Group
and some prelimin
Hi,
Let say I am implementing a loop using for() / apply()-family etc.
Now, the calculation-time within a particular loop is not fixed, means,
some loop takes a long time to finish calculation, and next loop perhaps
very quick to finish.
I am exploring if there is any way, to check if the calcul
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