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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


Where did the Y chromosome in the spiny rat go, and how did it get there?
Link

The contribution of small RNAs to the evolution of separate sexes and sex chromosomes in the plant Silene latifolia
Link

The genome sequence of the Four-spotted Footman moth, Lithosia quadra (Linnaeus, 1758)
Link