Stacks Image 20108

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)
Previous Post 4 / 10 Post

Tag:

Sex chromosome papers RSS


Evolution of bird sex chromosomes: a cytogenomic approach in Palaeognathae species
Link

Sexy ways: the methodical approaches to study plant sex chromosomes
Link

Non canonical bases differentially represented in the sex chromosomes of the dioecious plant Silene latifolia
Link