Stepping up in the level of mathematical complexity, we can look at a model taken from the study of biological populations. One formula for predicting the changes in the population of a species is:
pn=rpn-1(1-pn-1).
This states that the population in any given cycle is dependent on the population in the previous cycle multiplied by a certain factor. The factor in this case is simply 1-p. The population itself is scaled to a value between 0 and 1 so 1-p always returns a suitable value. The starting value of p is not important - any value between 0 and 1 will do, for example 0.2. The value of r can be any value from 0 to infinity, though you should restrict yourself to values between 0 and 4. The first part of the spreadsheet shows how to set up the model for r=2.5.
The formula in B6 uses absolute references from the starting values in A4 and A6. The formula in B7 uses an absolute reference to the constant r in A6 and relative references to the population cycles in B6, B7, etc. The formula in B6 is copied into B7:B18.

The formulae in column B are repeated in columns D, F and H for different values of r - 2.6, 3.0, 3.5, and so on. D6 will contain a value for r such as 2.6, D7 will contain =$C$6*$A$4*(1-$A$4), D8 will contain =$C$6*D6*(1-D6), and so on.

This chaotic pattern was first observed by the biologist Robert May.

The line chart was produced by holding down the Control key and selecting the data in columns B, D, F and H; holding the Control key allows a multiple selection of cells.
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