api2lm (version 0.2)

influence_stats: Influence statistics

Description

influence_stats returns a data frame with influence-related statistics ordered from the largest to smallest magnitude of the criterion.

Usage

influence_stats(
  model,
  n = 6L,
  rtype = c("studentized", "standardized"),
  criterion = c("cooks", "dffits")
)

Value

A data frame of influence-related statistics.

Arguments

model

A fitted model object from the lm function.

n

an integer vector of length up to dim(x) (or 1, for non-dimensioned objects). Values specify the indices to be selected in the corresponding dimension (or along the length) of the object. A positive value of n[i] includes the first/last n[i] indices in that dimension, while a negative value excludes the last/first abs(n[i]), including all remaining indices. NA or non-specified values (when length(n) < length(dim(x))) select all indices in that dimension. Must contain at least one non-missing value.

rtype

The residual type to plot on the y-axis. The default is "studentized". The other option is "standardized".

criterion

The criterion that decides the size of the points. The default is "cooks". The other option is "dffits".

Author

Joshua French

See Also

rstandard, rstudent, hatvalues cooks.distance, dffits

Examples

lmod <- lm(murder ~ hs_grad + urban + poverty + single,
           data = crime2009)
influence_stats(lmod, n = 3)
influence_stats(lmod, rtype = "stan", crit = "df")