thank you, that looks good
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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 very much. I managed to do it with a similar approach and it looks
like what I expected.
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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
thank you very much
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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. Maybe
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!
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 t
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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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 s
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 it
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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ing
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
>
>
>
>
>
>
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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https:
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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use 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
>&g
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
disp
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
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
Thank you it worked well
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https://stat.ethz.ch/ma
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
calcu
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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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 wrote:
>
>>
>> Hello, I would like to plot a large numbe
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 sa
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