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Stats on multiple samples when you have non-parametric data.

More about manipulating data and entering data without using a spreadsheet:

Getting started with correlation and a basic graph:

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Getting started with graphs, some basic types:

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Fit: aov(formula = growth ~ sugar)

R maintains a list of previous commands. Use the up and down arrows to scroll through them. You can then use the left and right arrows to edit and modify the command.

Use the model syntax to specify complex analyses in R

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

Natural language support but running in an English locale

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More about manipulating data and entering data without using a spreadsheet:

Getting started with correlation and a basic graph:

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R uses a powerful model syntax e.g. y ~ x1 * x2 that alloows you to specify complex analyses.

Getting started with graphs, some basic types:

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Residual standard error: 2.279184  Estimated effects may be unbalanced

More advanced graphical methods:

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