Hi
Fo R basics best what you can do is to go through R intro document. Should be
located in doc folder.
If you searched
r krippendorff alpha
you should find package irr, which maybe could do what you want (I am not an
expert in this field).
Cheers
Petr
> -Original Message-
> From: R-
Jeff,
Thank you! I know what I did was very inelegant and I understand about
providing a reproducible example; I just could not do it with my data -- I
guess I was too lazy to make up a toy one. I apologize about the email
formatting.
I would never have known to use 'stack', 'levels' 'gather' and
We cannot help you understand what you are doing if you do not show us what you
are doing. Here are some discussions about how to communicate questions about
R [1][2][3].
[1]
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
[2] http://adv-r.had.co.nz/Repro
Glad you found an answer, though it looks more self-educational than efficient
(see suggestions below). In the future, follow the recommendations of the
Posting Guide: use plain text, and provide a reproducible example. Some
elaborations on what "reproducible" means are [1][2][3]. One issue here
Thanks, Anthony! It worked!!
Only, for future reference, I had to exclude INCOME from the reset (which
is the variable in the svymean function)
q50 <- update( q50 , AGECL = factor( AGECL ) , RACECL = factor( RACECL ) )
2017-07-09 15:52 GMT-04:00 Anthony Damico :
> try resetting your factor leve
try resetting your factor levels and re-run?
q50 <- update( q50 , INCOME = factor( INCOME ) , AGECL = factor( AGECL ) ,
RACECL = factor( RACECL ) )
On Sun, Jul 9, 2017 at 2:59 PM, Orsola Costantini via R-help <
r-help@r-project.org> wrote:
> Hi all,
>
> When I try the following with pkg Surve
Hi all,
When I try the following with pkg Survey it returns the error below:
ftable(svyby(~INCOME, ~AGECL+RACECL, svymean, design=q50),
rownames=list(AGECL=c("<35", "35-44", "45-54", "55-64",
"65-74", ">=75"),
RACECL=c("white non hisp
Interesting, thanks for that. I came accross qcc but my quick scan of
the docs is that it only did xbars but maybe I need to re-read the
docs, I guess it does the individual plot versions (I-MR) too.
Tim
On 8 July 2017 at 20:53, Rui Barradas wrote:
> Hello,
>
> I have no experience with I-MR ch
Dear all ,
I would like to reconstruct coexpression networks from proteomic count data
having integer values. Some internal function doesn't like to work well
with integers. How can this error be rectified?
> adjacency = adjacency(datExpr, power = softPower, type = "signed");
Error in cor(datEx
Dear Frank,
I hope everything is well with you.
First of all
, I
'd like thank you for your nice genomic simulation program (*hypred *package)
and also for taking your time to answer my question. Dear Frank, I'm a PhD
student of animal breeding science from Iran. Unfortunately although I tr
Hello all,
After more digging I was able to find out how to do this. The answer came
from an example here:
https://stackoverflow.com/questions/3541713/how-to-plot-two-histograms-together-in-r
yr_1997<-data.frame(bias=ann_bias$bias1997)
yr_1998<-data.frame(bias=ann_bias$bias1998)
yr_1999<-data.f
First, please read WGCNA FAQ at
https://labs.genetics.ucla.edu/horvath/CoexpressionNetwork/Rpackages/WGCNA/faq.html
regarding using RNA-seq and other count data.
Second, if you insist on using WGCNA on raw count data (which I don't
recommend), use something like
storage.mode(datExpr) = "double"
Hi all,
I can not seem to get what I want using the Lattice package to generate an
array of histograms of
spatialgrid dataframe data.
I can use the sp package and spplot to generate an array of maps that
display an array of spatialgrid dataframe data -- that's good. I have:
spplot(ann_bias,xlim=
13 matches
Mail list logo
