> On Nov 7, 2017, at 3:46 PM, George Balas wrote:
>
> For anyone who sees this conversation.
>
> There is a bug in installation of igraph in R language in Ubuntu. There is
> a solution in stackoverflow. We have to use the devtools. Write this code:
>
For anyone who sees this conversation.
There is a bug in installation of igraph in R language in Ubuntu. There is
a solution in stackoverflow. We have to use the devtools. Write this code:
install.packages("devtools")
library(devtools)
install_github("igraph/rigraph")
If there are errors
Hello,
Try
print(head(...))
Hope this helps,
Rui Barradas
Em 07-11-2017 20:01, Tom Backer Johnsen escreveu:
Dear R-help,
I am running a Mac under Sierra, with R version 3.4.2 and RStudio 1.1.383. When
running head () or tail () on an object in a script using source
R Project
I receive the erro highlighted in yellow when attempting to combine two
Corpus, so I'm assuming I'm not combining the two variables (nb_pos and
nb_neg) in the following line
nb_all <- c(nb_pos,nb_neg,recursive=TRUE) # anyone see anything wrong with
this line of code
Since 2008, Microsoft (formerly Revolution Analytics) staff and guests
have written about R every weekday at the Revolutions blog
(http://blog.revolutionanalytics.com) and every month I post a summary
of articles from the previous month of particular interest to readers
of r-help.
In case you
Between the lack of a reproducible example and the question being about a
Bioconductor package, you probably won't see much response here. Try the
Bioconductor mailing list?
--
Sent from my phone. Please excuse my brevity.
On November 7, 2017 11:15:51 AM PST, Yin wrote:
On 11/7/2017 12:01 PM, Tom Backer Johnsen wrote:
Dear R-help,
I am running a Mac under Sierra, with R version 3.4.2 and RStudio 1.1.383. When
running head () or tail () on an object in a script using source
On 07/11/2017 3:01 PM, Tom Backer Johnsen wrote:
Dear R-help,
I am running a Mac under Sierra, with R version 3.4.2 and RStudio 1.1.383. When
running head () or tail () on an object in a script using source
Either change your script by adding print(...) calls where you want to see
something printed or change the call to source() by adding print.eval=TRUE
or echo=TRUE. E.g.,
> cat(file = tf <- tempfile(), "head(10:1)\ntail(letters)\nx <-
gamma(0:4)\nx\n")
> source(tf)
Warning message:
In gamma(0:4)
Dear R-help,
I am running a Mac under Sierra, with R version 3.4.2 and RStudio 1.1.383.
When running head () or tail () on an object in a script using source
Hi Elahe,
You pass 'probable' to the fill aesthetic along the lines of;
ggplot(hist) +
aes(x=mms, fill = probable) + geom_histogram(binwidth=1)
The NAs might give you three and not two colours.
I'm guessing you want distinct colours. In this case 'probable' should be a
factor and not an
Hi,
I'm using GAGE/pathview to analyze my RNA-seq and phospho-protein data. The
following error occurs after this command line below:
>pv.out.list <- sapply(path.ids2[1:3], function(pid) pathview(
gene.data = cnts.d, pathway.id = pid, gene.idtype="SYMBOL",kegg.native =
F,
same.layer = T,
Hi all,
I have the following data and I have a histogram for mms like
ggplot(hist,aes(x=hist$mms))+
geom_histogram(binwidth=1,fill="white",color="black")and then I want to fill
the color of histogram by probable=1 and probable=0, could anyone help me in
this?
My data:
> On Nov 7, 2017, at 6:58 AM, Eric Berger wrote:
>
> Why not define your own functions based on d?
> e.g.
> myCumDist <- function(x) { integrate(d, lower=-Inf, upper=x)$value }
> myQuantile <- function(x) { uniroot(f=function(y) { h(y) - x },
> interval=c(-5,5)) } #
Dear R-help,
I am using R version 3.4.0 within Windows, and survival 2.41-3. I have fit a
Prentice Williams and Peterson-Counting Process model to my data as shown
below. This is basically an extension of the Cox model for interval censored
data. My dataset, bdat5 can be found here:
Why not define your own functions based on d?
e.g.
myCumDist <- function(x) { integrate(d, lower=-Inf, upper=x)$value }
myQuantile <- function(x) { uniroot(f=function(y) { h(y) - x },
interval=c(-5,5)) } # limits -5,5 should be replaced by your own which
might require some fiddling
e.g.
d <-
Dear All,
Apologies for not providing a reproducible example, but if I could, then I
would be able to answer myself my question.
Essentially, I am trying to fit a very complicated custom probability
distribution to some data.
Fitdistrplus does in principle everything which I need, but if require
> On 7 Nov 2017, at 11:38 , peter dalgaard wrote:
>
> Presumably you wanted -sum(lnagevec[lnwagevec>-200 & ln2wagevec<200],
> na.rm=TRUE)
Well, after correcting the obvious spelling error. Sorry about that...
-pd
--
Peter Dalgaard, Professor,
Center for Statistics,
(inline)
> On 7 Nov 2017, at 06:02 , Hugo André wrote:
>
> So I am trying to use the mle command (from stats4 package) to estimate a
> number of parameters using data but it keeps throwing up this error message:
>
> Error in solve.default(oout$hessian) :
> Lapack
[Please send replies to r-help, not individual responders]
Emre,
In R, when you call a function defined via something like
f <- function( foo, bar )
then you can call it as, for, example
a <- f(x,y)
or
a <- f(foo=x, bar=y)
or even
a <- f( bar=y, foo=x) # notice I switched the order!
The
Following Erin's pointer:
library(zoo)
times <- seq(from=as.POSIXct("2015-12-18 00:00:00"),
to=as.POSIXct("2017-10-24 23:00:00"), by="hour")
mydata <- rnorm(length(times))
tseri <- zoo( x=mydata, order.by=times )
HTH,
Eric
On Tue, Nov 7, 2017 at 9:59 AM, Erin Hodgess
Hello!
What is the error message, please?
At first glance, you are using the "ts" function. That doesn't work for
hourly frequency.
You may want to create a zoo object.
This is Round One.
Sincerely,
Erin
On Tue, Nov 7, 2017 at 1:46 AM, Emre Karagülle
wrote:
>
>
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