Do you know for certain that the rows are in the same order? then yes... cbind
or bind_cols would do it. I would be surprised to find such files... but it is
possible.
On December 3, 2019 9:37:34 PM PST, Thomas Subia via R-help
wrote:
>Colleagues,
>I've got several text files which contain dat
Colleagues,
I've got several text files which contain data for each metric I need to report
on.One text file contains the serial number data. Another has customer and work
order number. Another has test data. All text files have the same number of
rows but all have different numbers of columns.
Hi vod,
Now that I have your data I can do a bit better:
# save data as "vv.csv"
vv<-read.csv("vv.csv")
# order the points in order of theta
vv<-vv[order(vv$theta),]
oldpar<-polar.plot(vv$r,vv$theta,main="Polar plat of vv.csv",lwd=3,line.col=4,
point.symbols=4,rp.type="p",show.centroid=TRUE,radia
Basically no clue, but note that C[, 1:length(C[ ,1])] looks suspect -- you
are selecting the number of columns equal to the number of rows in C. Is
that really what you want to do?
Bert
On Tue, Dec 3, 2019, 2:36 PM Ana Marija wrote:
> Hello,
>
> I am trying to run this software:
>
> https://gi
Hello,
I am trying to run this software:
https://github.com/eleporcu/TWMR
and I have my input files in my current directory: ENSG0154803.matrix,
ENSG0154803.ld
but when I try to run it:
Rscript MR.R ENSG0154803
[1] "ENSG0154803"
Error in `[.data.frame`(C, , 1:length(C[, 1])) :
On 12/3/19 12:16 PM, Ana Marija wrote:
would this make sense for the previous:
mt=na.omit(m, cols = c("V1.1","V1.2","V1.3","V1.4","V1.5"))
On Tue, Dec 3, 2019 at 2:09 PM Ana Marija
wrote:
I can perhaps do this:
m=Reduce(function(x, y) merge(x, y, all=TRUE), list(s11, s22, s33,s44,s55))
bu
I apologize I would need to reformulate this problem because there will be
much more unique genes I have to look up, 381
so all genes or in one data frame
> head(r)
V1 V2 V3V4
1 ENSG0273172 rs7215271 4.33932e-17 -0.602316
2 ENSG0273172 rs34889101 4
(1) There is no csv attached (may have been removed).
(2) If you have a "polar plot", then wouldn't the "center" be the
origin of the plot/coordinates?
(3) If you don't need an exact ellipse, you could transform your
coordinates into cartesian coordinates, and then use a periodic form
of regression
would this make sense for the previous:
mt=na.omit(m, cols = c("V1.1","V1.2","V1.3","V1.4","V1.5"))
On Tue, Dec 3, 2019 at 2:09 PM Ana Marija
wrote:
> I can perhaps do this:
>
> m=Reduce(function(x, y) merge(x, y, all=TRUE), list(s11, s22, s33,s44,s55))
>
> but than in the output of this one SNP
I can perhaps do this:
m=Reduce(function(x, y) merge(x, y, all=TRUE), list(s11, s22, s33,s44,s55))
but than in the output of this one SNP (just for example)
> head(m)
rsV1.1V3.1 V4.1 V1.2 V3.2 V4.2
V1.3
6 rs1029829 ENSG0154803 1.02519e-11 0.469402NA NA
the desired output would look like this (example give just for two genes,
it should include all 5 from all 5 data frames):
where the example is if say only 5 rs are shared between those two genes,
what is given after rs# is values from V4 column for each gene
GENES ENSG0001629 ENSG0127914
Hello,
I have 5 dataframes (s11,s22,s33,s44,s55) that look like this:
> head(s11)
V1.1 rs V3.1V4.1
1 ENSG0154803 rs12940868 3.80175e-05 -0.519565
2 ENSG0154803 rs4383187 8.92772e-05 -0.367303
3 ENSG0154803 rs4404112 9.32402e
HI Jeff,
the issue got resolved after I converted data in as.data.frame.
Thank you for the useful input!
Ana
On Tue, Dec 3, 2019 at 12:46 PM Jeff Newmiller
wrote:
> My guess would be that your key columns are factors with different levels.
> You have to be very careful manipulating factors...
My guess would be that your key columns are factors with different levels. You
have to be very careful manipulating factors... I recommend using character
data until you are ready to do analysis steps that need factors. You may be
able to resolve this by importing your data with the as.is=TRUE o
Hi,
I have two data frames like this:
> head(a)
V1V2 V3 V4 V5 V6 V7 V8V9
V10
1: ENSG0272636 chr17 181637 181636 - 4924 -769472 rs7216126 chr17
951108
2: ENSG0273172 chr17 191588 191587 - 4978 40553 rs62053745 chr17
151035
3: ENSG
Hi
here it is;. THANKS!
dput(DATASET)
structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1
Hello,
Please post the output of
dput(DB)
in a next e-mail to R-Help, like this it's difficult for us to use the
data you posted.
And yes, I bet you will need the data in long format. It is a frequent
first step to the problem of plotting two or more columns in the same
graph. To say more
在 星期二, 03 十二月 2019 04:09:12 -0800 vod vos 撰写
> hi,
>
> 1. How to find the best fit of inner cut ellipse to points in polar plot?
>
> 2. How can we find the ellipse passing through most of the points in polar
> plot?
>
> And can we get the center x, center y, major radi
hi,
1. How to find the best fit of inner cut ellipse to points in polar plot?
2. How can we find the ellipse passing through most of the points in polar
plot?
And can we get the center x, center y, major radius, minor radius, and rotation
angle of the ellipse?
The csv data is attached.
Tha
Dear Contributors,
I would like to ask help on how to create a plot that is the overlapping
of two other plots.
It is a geom_bar structure, where I want to count the occurrences of two
variables, participation1 and participation2 that I recoded as factors as
ParticipationNOPUN and ParticipationPUN
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