thank you very much
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Hello! I would like to make a scatterplot of my data, but the problem is that
several points have the same x and y values and are represented as only one
point. I wonder if there is a way to represent the data points, but with
point size representing the frequency of the depicted x-y value?
Thank you very much. I managed to do it with a similar approach and it looks
like what I expected.
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Thank you for your comment. I would be very interested, but I did not know
about jitter. Would you have a small example?
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thank you, that looks good
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Thank you very much for replies and the nice explanation about variance
stabilization. I heard about the arcsin transformation, but some recent
papers were very critical about it (i.e., Warton Hui, 2011), so that I
would better try another way. I will have a look at beta regression.
Best,
V.
Hello!
I am trying to model data on species abundance (count data) with a poisson
error distribution. I have a fixed and a random variables and thus needs a
mixed model. I strongly doubt that my model is overdispersed but I don't
know how to get the overdispersion parameter in a mixed model.
Hello!
When I am analyzing proportion data, I usually apply logistic regression
using a glm model with binomial family. For example:
m - glm( cbind(not realized, realized) ~ v1 + v2 , family=binomial)
However, sometimes I don't have the number of cases (realized, not
realized), but only the
Hello,
I am trying to do contrasts after applying a binomial mixed effect model
with the function lmer. I have to extract the fix effect values, but as I
write fixef(model), I get this error message:
Error in UseMethod(fixef) :
no method for 'fixef' with objects of class mer
Has anybody some
Thank you very much. I started R again and loaded less libraries and it
worked! I didn't know about this problem, the next time, I'll check for
this before looking a whole afternoon for alternative methods ;).
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Thank you very much! This is the kind of plot I tried to do.
For the statistical models, I am a bit confused between which factors to put
as fixed or random effects. I will have a look at time series models as you
suggested.
swertie
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Hello!
I have a dataset with monthly temperatures for 4 different years and I would
like to test if they are significantly different between the years. As I
collected the data for different sites I wondered if there were some
possibility to perform the calculation at once or if I have to repeat
Hello,
I would like to change the names of the sites in an ordination biplot
(resulting from the function rda in vegan). Can somebody give me some
trick?
Thank you very much
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a PCA, that's why I would have make the Mantel test directly from the
distance matrices
Tal Galili wrote:
Hi swertie ,
Could you please add more details ?
What field are you at, some links maybe ?
Thanks,
Tal
On Mon, Sep 14, 2009 at 8:30 PM, swertie v_coudr...@voila.fr wrote
Hello! It is not really linked to R, but can somebody explain me why we
sometimes make a mantel test directly for to distance matrices and sometimes
we first make a gradient analysis and then a mantel test between the axis?
Thank you
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Thank you it is what I was looking for.
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it
for presence/absence data?
Gavin Simpson wrote:
On Thu, 2009-09-03 at 04:49 -0700, swertie wrote:
Hello, I read a lot about ordination, but I am still confused... I have
data
on species presence/absence for 8 different sites and I would like to
represent my species and the sites
Thank you very much for those useful informations. I've been reading some
papers and actually different people will use different ordination methods
also if the studies are very alike. So I will keep metaMDS for the moment
and see if my results are interpretable :)
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Hello, I read a lot about ordination, but I am still confused... I have data
on species presence/absence for 8 different sites and I would like to
represent my species and the sites on an ordination plot to see if some
species are associated with specific sites. I used metaMDS function, which
As suggested in the article R News 4/1, I used
as.Date(as.character(Phenology_VE$Date), %Y-%m-%d), however this function
returns me only NA values
as.Date(as.character(Phenology_VE$Date), %Y-%m-%d)
[1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA
[26] NA NA NA NA
Thank you very much it works well.
Henrique Dallazuanna wrote:
Try this:
par(mfrow = c(8,5), mar = c(1, 1, 1, 1))
replicate(40, plot(10))
On Mon, Aug 31, 2009 at 4:39 PM, swertie v_coudr...@voila.fr wrote:
Hello, I would like to plot a large number of graphs (43) in a same
Hello, I have a matrix of species abundance with a lot of 0 values. I would
like to plot the species abundance vs date, but I don't want that the 0
values appear as points on my graph. Do you know how I could represent only
non-0 values? Thank you very much
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Hello, I performed a Mantel test and plotted communitiy similarities. I
would like to add a least square line. I thought about using abline taking
as slope the r-statistic of the Mantel test and calculating the y-intercept
analytically. Is this method correct? Is there any function for this
Thank you it worked well
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Hello, I plot the abundance of a species in relation to the date. To have the
date as a continous variable I put it in the format standard in excel
(f.ex. 39939 means 06.05.2009). R uses 39939 on the x axis, but I would like
to have 06.05. I tried to use as.Date as suggested in some discussion
Hello, I would like to plot a large number of graphs (43) in a same window. I
tried wit par(mfrow=c(8,5)), but when I give the code for the plots I
receive a error message saying that the margins are to wide. Can someone
help me? Is it possible to put so many graphs in a single window? Thank you
Hello, I would like to run a model with nesting design in lmer but I always
got the error message Matrices must have same number of columns in
rbind2(..1, r). My model is:
model_3R -
lmer(N~Bareground+Habitat_type_simple+Presence+(1|Region/Ref_lmer),family =
poisson)
of course it doesn't say
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