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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


Genetic Background and Sex Modulate Androgen Responses in Human Brain Microphysiological System
Link

The genomes of five mantises provide insights into sex chromosome evolution and Mantodea phylogeny clarification
Link

Sex chromosome dosage compensation in a sex reversing skink is not influenced by sexual phenotype
Link