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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 a leaf beetle, Chrysomela saliceti (Weise, 1884) (Coleoptera: Chrysomelidae)
Link

The tortured past of young polymorphic sex chromosomes revealed through multiple de novo genome assemblies of the mountain pine beetle
Link

Improved genome assembly of whale shark, the world's biggest fish: revealing intragenomic heterogeneity in molecular evolution
Link