lar: Lagged Association Rate
In thom82/whassocr: An Implementation of Whitehead's Association Analysis

Description Usage Arguments Details Functions

Calculate the lagged association rate for a two-mode observation matrix

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lar(x, group = c(1:dim(x)[1]), t = 1, cutoff = 0)

null.lar(x, group = c(1:dim(x)[1]), t = 1, cutoff = 0)

`x`	a m X n observation matrix
`group`	an integer vector of length m indicating the time grouping of the observations. Group values should be sequential with no gaps. The vector does not need to be sorted.
`t`	the order of the lag
`cutoff`	the number of times above which two entities must be observed together within a single time group to count as being associated

The grouping variable group is used to aggregate observational data to daily, weekly, yearly, etc., rates of association. This allows you to calculate a lagged association rate between two months or two years. Cases that should be grouped together should be assigned the same group number.

cutoff is only useful if you group observations, and allows you to set a minimum number of times two entities must be observed together in order to count as being associated. Note that two entities must be observed together MORE THAN the value of cutoff