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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


Chromosome-level genome assembly and sex chromosome identification of the pink stem borer, Sesamia inferens (Lepidoptera: Noctuidae)
Link

The genome sequence of a ground beetle, Ophonus ardosiacus (Lutshnik, 1922)
Link

The genome sequence of a hoverfly, Pocota personata (Harris, 1780)
Link