Dear All
We are using the dendextend package to modify the plot output from a pvclust
clustering
The model is created with
result <- pvclust(chord.1, method.dist="euclidian",
method.hclust="average",nboot=10)
The plot is then formatted as following
dend <- as.dendrogram(result)
dend
Dear All
I'm using PVClust to perform hierarchical clustering, for the output plot I can
control most of the graphical I need, however the plot is large and I would
like to split it vertically into two panels one above the other. Is there a way
to plot only part of a PVClust plot, I tried to c
Tom
From: Mark Leeds [mailto:marklee...@gmail.com]
Sent: Thursday, July 03, 2014 12:09 AM
To: Worthington, Thomas A
Subject: Re: [R] Checking whether a time series is stationary with irregular
spaced data
hi thomas: I don't deal with irregularly spaced data but the standard
I attempting to model the relationship between water temperature and air
temperature. The seasonal component of the temperature time series has been
modeled using a sinusoidal function, leaving the air and water temperature
residuals. I want to model the relationship with
M5<- gls(Water ~ Air
Dear All
I've fitted a GAMM to relate water temperature to the day of the year (DOY) at
three different sites. I used summary(MFinal$gam) and anova(MFinal$gam) to
produce the output of my model. I'm confused on how to report the degrees of
freedom for the smother and the factor. I currently ha
Dear All
I have a model of the form Approaches ~ Setup * Minute, where Setup has two
levels and Minute has three levels.
I want to test the difference between the levels of setup (Control vs Test)
within in levels minute e.g. the difference between the two setups for Minute
1, Minute 2 and Mi
Thanks again,
Tom
-Original Message-
From: Gavin Simpson [mailto:ucfa...@gmail.com]
Sent: Thursday, September 05, 2013 6:35 PM
To: Worthington, Thomas A
Cc: r-help@r-project.org
Subject: Re: [R] Assessing temporal correlation in GAM with irregular time steps
On 3 September 2013 16:
l.com]
Sent: Tuesday, September 03, 2013 3:17 PM
To: Worthington, Thomas A
Cc: r-help@r-project.org
Subject: Re: [R] Assessing temporal correlation in GAM with irregular time steps
It is possible, but you can't use the discrete time or classical stochastic
trend models (or evaluate using the ACF
I have constructed a GAM using the package mgcv to test whether the lengths of
an emerging insect (Length) varies with day of the year (DOY) and between two
sites (SiteCode). The data are collected at irregular time steps ranging from 2
days to 20 days between samples. The GAM takes the form
M3
I am attempting to create a logistic regression model to examine the factors
that determine the emergence of four species of aquatic invertebrates. The
invertebrates were trapped at two sites over a period of two years. The traps
were emptied on an irregular spaced basis (with an extended gap ov
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