Displaying 4 results from an estimated 4 matches for "blotch".
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bloch
2007 Jun 14
1
blotched y-axis text in plot function
Hi List,
I have recently upgraded to opensuse10.2 and R 2.5 (compiled from
source). Now, whenever I use plot the y-axis and labels are black
blotches while x-axis and labels are fine.
Using demo(graphics) this occurs with plot/boxplot/hist/pairs/coplot but
not in the pie graphs and in the "The level of Interest in R" plot,
which uses axis to define the y-axis.
I presume this has to do with the font handling of linux/R. But, being...
2005 Jun 16
1
mu^2(1-mu)^2 variance function for GLM
Dear list,
I'm trying to mimic the analysis of Wedderburn (1974) as cited by
McCullagh and Nelder (1989) on p.328-332. This is the leaf-blotch on
barley example, and the data is available in the `faraway' package.
Wedderburn suggested using the variance function mu^2(1-mu)^2. This
variance function isn't readily available in R's `quasi' family object,
but it seems to me that the following definition could be used:
}, &...
2012 Oct 21
1
[newbie] failure to plot a RasterLayer with raster::plot or fields::image.plot
...es the page enough (e.g., to 800%), one
sees
+ the space inside the US-map borders is white, which is good, since
the data is marine
+ there is a roughly Canadian-shaped white blob oriented correctly
relative to the CONUS blob, and similarly a roughly Mexico-shaped
blob
+ there are green blotches corresponding to the elevated emissions off
the Pacific coasts of Canada and Mexico, and they are situated
similar to their position in the unprojected world map
https://github.com/downloads/TomRoche/GEIA_to_netCDF/GEIA_N2O_oceanic.pdf
So I'm thinking that the data might have regridde...
2004 Mar 16
2
glm questions
Greetings, everybody. Can I ask some glm questions?
1. How do you find out -2*lnL(saturated model)?
In the output from glm, I find:
Null deviance: which I think is -2[lnL(null) - lnL(saturated)]
Residual deviance: -2[lnL(fitted) - lnL(saturated)]
The Null model is the one that includes the constant only (plus offset
if specified). Right?
I can use the Null and Residual deviance to