Hi Eddie,
Upon reading your initial request more carefully, the last command should be:
plot(nspec/nspec[50]*100,type="l",xlab="Sites",
ylab="Species accumulation (%)",ylim=c(1,100))
Jim
On Wed, Jun 17, 2020 at 8:23 AM Jim Lemon wrote:
>
> Hi Eddie,
> I don't have the vegan package, but this
Hi Eddie,
I don't have the vegan package, but this may help:
accum<-function(x,y) return(x+(y-x)/7)
nspec<-90
for(i in 2:50) nspec[i]<-accum(nspec[i-1],220)
plot(nspec/nspec[1]*100,type="l",xlab="Sites",
ylab="Species accumulation (%)")
Jim
On Wed, Jun 17, 2020 at 1:15 AM Eddie Tsyrlin
wrote:
Hola,
alguien sabr�a decirme como "traducir" este c�digo de R a c�digo Spark con
Python (pyspark)
para rellenar los valores nulos de una columna con los valores de otra.
idx <- which(is.na(df$columna3))
df[idx, 'columna3'] <- df[idx, 'columna4']
Muchas gracias!
[[alternative HTML
Hi Jim,
thank you so much for this elaborate code I will definitely use some
hacks from it in the future.
For now, for the purpose of compactness of the code I just set
manually colors which I want to be there:
manhattan(results_log,chr="CHR",bp="POS",p="META_pval",snp="MARKER",suggestiveline
=
No it wasn't, in fact is the same I have already downloaded...
On Tue, Jun 16, 2020 at 7:45 PM David Winsemius wrote:
>
>
> On 6/16/20 10:11 AM, Luigi Marongiu wrote:
> > Thank you, but isn't this the link to Rstudio server? Is there one for
> > Rstudio desktop?
>
>
> It didn't seem that
On 6/16/20 10:11 AM, Luigi Marongiu wrote:
Thank you, but isn't this the link to Rstudio server? Is there one for
Rstudio desktop?
It didn't seem that difficult to find:
https://download1.rstudio.org/desktop/bionic/amd64/rstudio-1.3.959-amd64.deb
--
David.
On Tue, Jun 16, 2020 at
Thank you, very much appreciated.
On Tue, Jun 16, 2020 at 12:50 PM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtba...@maastrichtuniversity.nl> wrote:
> Dear Amoatwi,
>
> This way of using the escalc() function has been deprecated. It might be
> added back once there is actually any benefit from
Probably: ?sum ?cumsum
e.g.
> x <- runif(100, 10,20)
> cumsum(x)/sum(x) *100
Cheers,
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Jun 16, 2020 at
Thank you, but isn't this the link to Rstudio server? Is there one for
Rstudio desktop?
On Tue, Jun 16, 2020 at 5:41 PM Jeroen Ooms wrote:
>
> On Mon, Jun 15, 2020 at 2:47 PM Luigi Marongiu
> wrote:
> >
> > Hello,
> > all of a sudden rstudio stopped working on ubuntu 20.04. I
> > re-installed
Dear Amoatwi,
This way of using the escalc() function has been deprecated. It might be added
back once there is actually any benefit from having this functionality, but for
years it just meant that I had to maintain two different ways of doing the
exact same thing without any additional
On Mon, Jun 15, 2020 at 2:47 PM Luigi Marongiu wrote:
>
> Hello,
> all of a sudden rstudio stopped working on ubuntu 20.04. I
> re-installed from `rstudio-1.3.959-amd64.deb` but it does not launch
> even if there is an icon. On terminal I got:
> ```
> $ rstudio
> rstudio: error while loading
I need to express species accumulation curve in percentage terms, i.e. the
vertical axis is from 1% to 100%
I have community data similar to BCI (from vegan package).
I can construct the 'usual' species curve (see below) but I need to convert
the species number to percentage.
data("BCI")
Dear All,
I am using the example from one of the tutorial about "Metafor" package and
"escalc" function, to learn how this package can be applied to do
meta-analysi; the code and the data is directly from the tutorials but
"weights=freq" option in the escalc function is given me error message
This
In an iESS buffer, is it possible to color the output of colors()?
I tried rainbow-mode but it didn't work.
Thanks.
John
[[alternative HTML version deleted]]
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ESS-help@r-project.org mailing list
Hi Ana,
Your attached image seems to have bailed out before landing in the
list. Here's how to do it using a simple manhattan plot with the data
from:
https://reneshbedre.github.io//assets/posts/mhat/gwas_res_sim.csv
gwas<-read.csv("gwas_res_sim.csv",stringsAsFactors=FALSE)
# get the data into
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