write the correct code.
>
> You might spend some time looking for a scientific paper that uses that
> equation for the confidence interval and thereby get some context to
> explain why the equation is correct.
>
> Tim
>
> -Original Message-
> From: R-help On Beha
ity.
>
>
>
> Tim
>
>
>
> *From:* David Winsemius
> *Sent:* Thursday, September 8, 2022 8:51 PM
> *To:* Bogdan Tanasa
> *Cc:* Ebert,Timothy Aaron ; r-help
> *Subject:* Re: [R] confidence intervals
>
>
>
> *[External Email]*
>
> The first article ha
Dear all,
Any suggestions on how I could overlay two or more graphs / plots / lines
that have different sizes and the x axes have different breakpoints.
One dataframe is : A :
on x axis : 1 , 7, 9, 20, etc ... (100 elements)
on y axis : 39, 91, 100, 3, etc ... (100 elements)
The other datafra
,lty=2,col="blue")
> > legend(150,400,c("A","B"),lty=1:2,col=c("red","blue"))
> >
> > There are other tricks to deal with the differences in range between A
> and B.
> >
> > Jim
> >
> > On Wed, Feb 8,
Dear all,
I do have dataframes with numerical values such as 1,9, 20, 51, 100 etc
Which way do you recommend to use in order to identify the type of the
distribution of the data (normal, poisson, bernoulli, exponential,
log-normal etc ..)
Thanks so much,
Bogdan
[[alternative HTML versi
Dear all,
if you could help me please with a solution to a simple question :
i believe that my ubuntu machine automatically installed R 3.6.0 : when i
type : > R. it says :
R version 3.6.0 (2019-04-26) -- "Planting of a Tree"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform
ntu. I would advise you to try it anyhow. Good luck with that!
>
> All the best,
>
> Alfredo
>
> El jue., 23 may. 2019 a las 21:38, Bogdan Tanasa ()
> escribió:
>
>> Dear all,
>>
>> if you could help me please with a solution to a simple question :
>>
&g
Dear all, please would you advise :
do python and R have different ways to compute the standard deviation (sd) ?
for example, in python, starting with :
a = np.array([[1,2,3], [4,5,6], [7,8,9]])
print(a.std(axis=1)) ### per row : [0.81649658 0.81649658 0.81649658]
print(a.std(axis=0)) ### per c
3, byrow=T)
>
> apply(z, 1, sd1) # R
> apply(z, 1, sd2) # Python
>
> apply(z, 2, sd1) # R
> apply(z, 2, sd2) # Python
>
>
> Hope this helps,
>
> Rui Barradas
>
> Às 11:27 de 24/05/19, Bogdan Tanasa escreveu:
> > Dear all, please would you advise :
> &
Dear all,
if would be great if you could please advise on the use of PAIRED or
UNPAIRED T.TEST or WILCOX.TEST in R :
let's say shall we have 2 samples :
-- CONTROL : where we measure the expression of 100 genes G1 ... G100 in
one million cells C1 ...C1mil
-- TREATMENT : where we measure the exp
possible
> distribution
> you could use package
>
> https://cran.r-project.org/web/packages/fitdistrplus/index.html
>
> Cheers
> Petr
>
> > -Original Message-
> > From: R-help On Behalf Of Bogdan Tanasa
> > Sent: Wednesday, February 8, 2023 5:35 PM
> &g
Dear all,
if I may ask please a very simple question :
what does "." mean in front of function name : an example below . thank
you very much !
.set_pbmc_color_11<-function() {
myColors <- c( "dodgerblue2",
"green4",
"#6A3D9A", # purple
"grey"
appreciate it ! thank you Duncan !
On Thu, Jan 30, 2020 at 11:18 AM Duncan Murdoch
wrote:
> On 30/01/2020 1:38 p.m., Bogdan Tanasa wrote:
> > Dear all,
> >
> > if I may ask please a very simple question :
> >
> > what does "." mean in front of funct
Dear all,
please would you let me know, is there a package in R that has
implemented randomization/permutation
tests for joint genomic analyses
(an example of joint genomic analyses -- when jointly considering both GENE
EXPRESSION and PROTEIN BINDING along the DNA).
The context of my question is
Dear all,
we wish everyone a safe and healthy time !
i'm looking forward to have you suggestions please : I am using a R package
that is called Seurat for scRNA-seq analysis (https://satijalab.org/seurat/)
that has two versions (version 2 or version3 with distinct functions);
i'd appreciate if y
thanks a lot, Ashim, and Ivan !
On Sat, Apr 11, 2020 at 4:25 AM Ashim Kapoor wrote:
> Dear Bogdan,
>
> Perhaps
>
> https://rstudio.github.io/packrat/
>
> can be of help?
>
> Best,
> Ashim
>
> On Sat, Apr 11, 2020 at 4:47 PM Ivan Krylov wrote:
>
>>
Dear all,
please may I ask for a suggestion regarding the algorithms to cluster the
expression data in single cells (scRNA-seq) at multiple time points :
we do have expression data for 30 000 genes in 10 datasets that have been
collected at multiple time points,
and i was wondering if you could
> look for R packages that perform the relevant analyses.
>
> Sarah
>
> On Mon, Jul 6, 2020 at 1:11 PM Bogdan Tanasa wrote:
> >
> > Dear all,
> >
> > please may I ask for a suggestion regarding the algorithms to cluster the
> > expression data in single ce
Dear all,
please do you have any recommendation about a more advanced function in R
for lowess/loess regression ?
the basics lowess() or loess() do not perform as well as I would expect.
thanks very much,
Bogdan
[[alternative HTML version deleted]]
__
Sep 10, 2012, at 1:43 PM, Bogdan Tanasa wrote:
>
> > Dear all,
> >
> > please do you have any recommendation about a more advanced function in R
> > for lowess/loess regression ?
> > the basics lowess() or loess() do not perform as well as I would expect.
> > thank
Dear all,
a simple question about boxplot() function,
on how not to display a set of values (outliers), but keep the same median
of the original dataset on the display ;
more precisely :
given a dataset : 1,2,3,4,5,6, 100, 200,300
the median is : 5
after removing the extreme values : 100, 200,
that is a great suggestion ! thanks a lot Jim !
On Fri, Feb 14, 2014 at 1:14 AM, Jim Lemon wrote:
> On 02/14/2014 08:08 PM, Bogdan Tanasa wrote:
>
>> thank you Jim ...the idea behind would be to subset a set of values ?
>>
>> I would need to automate it the display for
box$stats[3,2]<-y_median
bxp(xy_box)
On Fri, Feb 14, 2014 at 2:13 AM, Jim Lemon wrote:
> On 02/14/2014 08:48 PM, Bogdan Tanasa wrote:
>
>> Dear Jim,
>>
>> one more question please : how could I plot in this way 2 boxplots - eg
>> - bxp(x_box, y_box) or boxp
Dear all,
it might not be a R-related question, however, I would appreciate if anyone
could suggest a mathematical/statistical framework that integrates graphs
and arrays, and potentially has a R implementation.
to give an example : given a graph of interactions (gene1 --- gene2, gene3
--- gene5,
Hi,
please could you recommend a R package that computes a 2 sample z-test ?
thanks,
Bogdan
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PLEASE do read the posting guid
Hi everyone.
I installed affylmGUI and oneChannelGUI package on R 2.7.1 with the
latest version of BioC.
After I start R, I do get an error that says "Error in
loadNamespace(name) : there is no package
called 'affylmGUI'" and a pop-up window with a message "fatal error :
unable to restore saved d
Hi everyone,
Although this question is more related to ChIP and ChIP-seq, it could be
probably anchored in a more general statistical context.
The question is : what method is better to assess the significance of the
change in a signal (the signal can be DNA binding, for instance) given the
bac
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