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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


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

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

Allelic variation and duplication of the dmrt1 were associated with sex chromosome turnover in three representative Scatophagidae fish species
Link