Dear all,
I did a Kruskall-Wallis test for a comparison of a variable of interest
between 10 sites and I get a significant result (p=0.0019). however, when I
perform a post-hoc test using kruskalmc from the pgirmess package, I get no
difference between any of the paired comparisons. I cannot find
g) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
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> 801.408.8111
>
>
>> -Original Message-----
>> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
>> project.org] On Behalf Of Silvia Lomascolo
>> Sent
I need to sample a matrix according to different distributions, instead of
just randomly. Here is some code that will hopefully clarify what I need:
I have a matrix M of 1287 interactions between species in rows and species
in columns, according to their abundance:
pla<- c(10, 9, 6, 5, 3) #abun
Thank you! This seems to work!!!
Silvia.
Charles C. Berry wrote:
>
>
> See below
>
> On Wed, 29 Apr 2009, Silvia Lomascolo wrote:
>
>>
>> Hi R community,
>> I am trying to obtain a sample from a matrix but sample(my.matrix)
>> doesn
>
> On my computer it seems to work... hope this really help, this time !
> Regards. Olivier
>
>
>
>
> Silvia Lomascolo wrote:
>>
>> Hi R community,
>> I am trying to obtain a sample from a matrix but sample(my.matrix)
>> doesn't do what I need. I h
Hi R community,
I am trying to obtain a sample from a matrix but sample(my.matrix) doesn't
do what I need. I have a matrix of 1287 interactions between the species in
columns and the species in rows and I want to obtain a smaller matrix with
say, 800 interactions, that may or may not have the same
Hi R community,
I am trying to obtain a sample from a matrix but sample(my.matrix) doesn't
do what I need. I have a matrix of 1287 interactions between the species in
columns and the species in rows and I want to obtain a smaller matrix with
say, 800 interactions, that may or may not have the same
> refdata =
> read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv", header
> = TRUE)
Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings,
:
line 1 did not have 42 elements
> refdata =
> read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv")
Error
Hi R-community,
I am doing a PCA and I need plots for different combinations of axes (e.g.,
PC1 vs PC3, and PC2 vs PC3) with the arrows indicating the loadings of each
variables. What I need is exactly what I get using biplot (pca.object) but
for other axes.
I have plotted PC2 and 3 using the sc
Hi,
I am trying to do a PCA on my data but I keep getting the error message
svd(x, nu=0) infinite or missing values
>From the messages posted on the subject, I understand that the NAs in my
data might be the problem, but I thought na.omit would take care of that.
Less than 5% of my cells are mi
ROTECTED] [mailto:[EMAIL PROTECTED]
> On Behalf Of Silvia Lomascolo
> Sent: Friday, October 26, 2007 2:31 PM
> To: r-help@r-project.org
> Subject: [R] linking Tinn-R to a new R version
>
>
> Hi all,
> Can anyone please tell me how to start R from Tinn-R's "Toogl
Hi all,
Can anyone please tell me how to start R from Tinn-R's "Toogle start/close
Rgui" button, after I've updated to a new version of R? It seems like Tinn-R
keeps looking for the previous version of R. I have updated R twice already
since I started using Tinn-R and I haven't been able to make t
I am trying to get a random matrix based on an original matrix called
disperser.mx, with dimensions 30x73
When I write the following code:
>scramble = sample (disperser.mx)
>newmat = matrix(scramble, nrow=30)
I get the following warning message and a very weird matrix with 30 rows but
only 3 co
I use Windows, R version 2.5.1
When I try to run stepclass (klaR) I get an error message/warning saying:
1: error(s) in modeling/prediction step in: cv.rate(vars = c(model, tryvar),
data = data, grouping = grouping, ...
Actually, I look 16 warnings of this type. Can anyone tell me what this
I work with Windows, R 2.4.1. I'm a beginner with R!
After doing a Discriminant Function Analysis, I am trying to run manova to
get a measure of significance of my lda results. I want to predict groups 1
through 4 using 78 variables (bad group/var ratio, I know, but I'm just
exploring the possib
>Error in isoMDS(Gquad.dist) : zero or negative distance between objects
>179 and 180.
>How can I handle this, is it valid to add 0.5 to every element in the
>distance matrix or is someother alternative more appropriate?
This means that your objects 179 and 180 are identical so just remove one
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