Hi,
I am trying to draw a heatmap for my 45 topvar gene by the use of
heatmap.2, and when I set a srtRow=45 in my code(below):
heatmap.2( assay(rld)[ topVarGenes, ], srtRow=45, scale="row",trace="none",
dendrogram="column",col = colorRampPalette( rev(brewer.pal(9, "RdBu"))
)(255))
row names
lem that x[NA] would differ from x[as.integer(NA)] because NA is of
> mode "logical", lowest in the coercion hierarchy.
>
> -pd
>
> > On 26 Aug 2020, at 17:06 , Elham Daadmehr wrote:
> >
> > Thanks guys. but I'm a bit confused. the input is the first column
>
0
> z1=z[z[,8]=="11"|z[,8]=="12"|z[,8]=="14",]
> sum(is.na(z1[,1]))
[1] 399
my file is not compressed.
Thank you in advance,
Elham
On Wed, Aug 26, 2020 at 3:31 PM Eric Berger wrote:
> Hi Elham,
> You are not giving us much to go on here.
> Sh
>
>> Offhand, I suspect that the NAs are in the 8th column.
>>
>> > On 26 Aug 2020, at 10:57 , Elham Daadmehr wrote:
>> >
>> > Hi all,
>> >
>> > I have a simple problem. I get stuck in using the imported spss data
>> (.sav)
>>
quot;12"|z[,8]=="14",]), lots of NA appears (even in the
first column).
The (.sav) file is the output of Compustat (WRDS).
It is terrible, I can't find the mistake.
Thank you in advance for your help,
Elham
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Hello DearI used modifiedmk package for trend analyses.this is my script
require(modifiedmk)X1<-read.table("c:/elham/first
article/r/Spring_NDVI-1.txt",skip=2,header=FALSE)d=dim(X1)
outMK<-matrix(-999,nrow=4,ncol=d[2])for (c in
1:d[2]){MK<-tfpwmk(X1[,c])outMK[1,c]<-getEl
Hello,I want to use "Cytoscape" to construct co-expression network for
coding-lncoding (control/tretment situation).I calculated correlation by R for
control and treatment and now I want to prepare input data for cytoscape,
I want molecules (genes and lncRNA) as nodes andcorrelation weighting
uld have led you almost imediately to ?cor and friends?
-- Bert
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, Jan 31, 2017 at 1
hello everybody,I have a very very huge table in R from calculating
correlation,how can I filter it per spearman correlation and p-value before
export it,I mean what is the function that I use?I want to select the pairs for
value (r), , greater than 0.9 (directly correlated) and less than -0.9
ary 31, 2017 3:07 AM, Jim Lemon <drjimle...@gmail.com>
wrote:
Hi Elham,
What I meant is to simply copy these two expressions into the R command line:
coding.rpkm[grep("23.C",coding.rpkm$name),-1]
ncoding.rpkm[grep("23.C",ncoding.rpkm$name),-1]
and see what co
ns that correspond to controls. In the same
manner, I get controls among the lnc, with the text: "grep(".C",lnc$name)"
I`m so sorry,maybe I do not understand you again.
On Tuesday, January 31, 2017 1:27 AM, Jim Lemon <drjimle...@gmail.com>
wrote:
Hi Elham,
Th
and columns
are gene names.(so I have 2 matrix with same row and different column).This
information is enough?
On Tuesday, January 31, 2017 1:06 AM, Jim Lemon <drjimle...@gmail.com>
wrote:
Hi Elham,
Without knowing much about what coding.rpkm and ncoding.rkpm look
like, it is difficult
for calculating correlation between coding and noncoding,first I transposed
data ,(rows become columns) so row is control and columns are gene
names.(so I have 2 matrix with same row and different column),I use these
function for calculating correlation but all of spearman correlation are
hello all,
I have 9 experiments (human RNAseq data (control/treatment)),I did RNAseq
analysis by CLC genomics,after normalization I calculated correlation, I have
many pairs of coding and lncoding molecules that correlate according to their
expression,I filtered them (> 0.9 and < -0.9).
hello all,I am following this link
http://genomicsclass.github.io/book/pages/GEOquery.html for importing data.but
I have a problem in a step of (Access GSE Data Tables from GEO).in the example
of tutorial there are 266 samples,but by this function
hello all,I am following this link
http://genomicsclass.github.io/book/pages/GEOquery.html for importing data.but
I have a problem in a step of (Access GSE Data Tables from GEO).in the example
of tutorial there are 266 samples,but by this function
dim(pData(gse[[1]]))head(pData(gse[[1]])[,
yes me too,but I do not have time to install and learn linux,I need tutorial
based on windows
On Saturday, December 31, 2016 3:50 AM, David Winsemius
<dwinsem...@comcast.net> wrote:
> On Dec 30, 2016, at 9:57 AM, Elham - via R-help <r-help@r-project.org> wrote:
&g
actually I do not work with linux. do you know same of this tutorial for
windows?
On Friday, December 30, 2016 10:16 PM, John McKown
wrote:
On Fri, Dec 30, 2016 at 12:08 PM, Sarah Goslee wrote:
This isn't an R question, but a
hi all, I am following
http://bioinformatics.knowledgeblog.org/2011/06/20/analysing-microarray-data-in-bioconductor/
I need to download phenotypic data in the form of text file that describe chip
names, and the source of the biological samples as well as probe that
hybridised to them. I can
onding columns of
each. Since you do not tell us how you know which column is which it is
hard to answer the question of how R will know.
On 07/12/2016 11:26, Elham - via R-help wrote:
> Hi All,I have 11 human RNA-seq data (control/treatment),The effect of various
> drugs on various ca
Hi All,I have 11 human RNA-seq data (control/treatment),The effect of various
drugs on various cancers,I want to calculate the genes-lncRna correlations for
all tumors considered together for network,I did differential expression
analysis and prepared normalized values (rpkm) of coding and
hi everyone,
I tried to run my code in RStudio,but I received this error message,what should
I do?
Error: cannot allocate vector of size 12.1 Gb
In addition: Warning messages:
1: In cor(coding.rpkm[grep("23.C", coding.rpkm$name), -1],
ncoding.rpkm[grep("23.C", :
Reached total allocation of
hi everyone,I tried to run my code in RStudio,but I received this error
message,what should I do?Error: cannot allocate vector of size 12.1 Gb
In addition: Warning messages:
1: In cor(coding.rpkm[grep("23.C", coding.rpkm$name), -1],
ncoding.rpkm[grep("23.C", :
Reached total allocation of
t", comment.char = "",
stringsAsFactors = F, header = T)
transpose_data <- t(data)
-Dan
On Tue, Nov 29, 2016 at 9:56 AM, Elham - via R-help <r-help@r-project.org>
wrote:
yes you have right about excel.by R,what should I do for transposing row and
column?
On Tuesday,
yes you have right about excel.by R,what should I do for transposing row and
column?
On Tuesday, November 29, 2016 9:13 PM, David Winsemius
<dwinsem...@comcast.net> wrote:
> On Nov 29, 2016, at 9:22 AM, Elham - via R-help <r-help@r-project.org> wrote:
>
>
Hi,
I am trying to transpose large datasets inexcel (44 columns and 57774 rows) but
it keeps giving me the message we can'tpaste because copy area and paste area
aren't the same size. Is there a way totranspose all the data at one time
instead of piece by piece? One dataset has agreat amount
I want to do meta analysis for lncRNA,but there is this error : Duplicate
row.names are not allowed.
so 35 genes that are duplicate were detected,for example:
PGM5-AS1-001 ENST0417887.1
PGM5-AS1-001 ENST0613309.4
when I search them in ensembl by its Transcript ID, one of them
I want to do meta analysis for lncRNA,but there is this error : Duplicate
row.names are not allowedso some genes that are duplicate were detected,for
example:PGM5-AS1-001 ENST0417887.1PGM5-AS1-001 ENST0613309.4when I
search them in ensembl by its Transcript ID, one of them is antisense
hi everyone,
how can I store result of meta analysis by Rstudio,I can not save the
result of metaseq and metaDE package,I want to use sink to store the output
in a file.
in metaseq package there are several objects to store:(I copy example of
this package)
> head(F$Upper)
1/2-SBSRNA4 A1BG
[,2] [,3]
> #Fkh2 0.141 0.242 0.342
> #Swi5 0.224 0.342 0.334
> #Sic1 0.652 0.682 0.182
what is function for large data?my data and genelist are 28031 rows,how can I
convert? clear that I can not write 28031 genes like
genelist<-c("Fkh2","Swi5","Sic1"
[,2] [,3]
> #Fkh2 0.141 0.242 0.342
> #Swi5 0.224 0.342 0.334
> #Sic1 0.652 0.682 0.182
what is function for large data?my data and genelist are 28031 rows,how can I
convert? clear that I can not write 28031 genes like
genelist<-c("Fkh2","Swi5","Sic1"
clear that I can not write 28031 genes like
> *genelist<-c("Fkh2","Swi5","Sic1")*
>
>
>
> Your attention would be really appreciated.
>
> Best Regards,
>
> Elham Dalalbshi Esfahani
>
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___
HelloI want to calculate sen slope with out using package. I wrote one but, it
is wrong. I attache my data and my script. would you please check it.Many
thanksSincerely yoursElham
1.46
1.22
1.19
1
1.11
1.16
0.78
0.84
0.79
0.85
0.54
0.49
0.61
0.66
HelloI am university student.I should do a R home work. That is writing sen
slope code in R and calculate it with out using package. I wrote one but, it
is wrong. I attache my data and my script. would you please check it.Many
thanksSincerely yoursElham
1.46
1.22
1.19
1
1.11
1.16
ards,
On Thursday, July 14, 2016 3:10 AM, Jim Lemon <drjimle...@gmail.com> wrote:
Hi Elham,
It looks to me as though you have created the numeric variable "ID"
and then passed it to a function that expects it to be a character
variable. Try changing the line:
ID<
Dear all,
I want to build the data with the structure of STdata (using the
function "createSTdata()"), I did as the following:
datst=cbind(xy)
yy=cbind(y,xx)
ID=60101:60128
date=as.numeric(1:13)
y1=as.data.frame(t(cbind(yy)))
datst1=as.data.frame(cbind(ID,datst))
Dear all,
Please guide me in following situation.
I use these function from deldir package.
x - runif(20)
y - runif(20)
z - deldir(x,y,rw=c(0,1,0,1))
w - tile.list(z)
plot(w)
ccc - heat.colors(2)
plot(w,fillcol=ccc,close=TRUE)
Is each cell red with
Hello,
I want to fit linear mixed model for non-normal observation. Which
package is appropriate?
Thanks
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PLEASE do read
to receiving your reply.
Thank you
Elham K.Moez
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