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For Academics

Get a feel of the data

Some quick ways to visualise new data.

For an initial 'feel' of the data:

plot(mydata)
summary(mydata)

Summarise the mean of 'cloud' by two factors:

tapply(cloud, list(rain, winddir), mean)

Summarise 2 continuous and 1 factor variable:

plot(hour,rad,col=day)

Standard deviation of data

sd <- sd(mydata)

Coefficient of variation of data

cv <- sd(mydata)/mean(mydata)
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Sex chromosome papers RSS


Extreme heterochiasmy and high rates of sex-reversed recombination result in large yet homomorphic sex chromosomes in the Emei moustache toad
Link

The genome sequence of the harbour porpoise, Phocoena phocoena (Linnaeus, 1758)
Link

The genome sequence of a beetle, Pycnomerus fuliginosus Erichson, 1842
Link