Calculating least squares residuals

Source: R/LSresids.R

This function calculates least squares (LS) residuals found by fitting separate LS regression models to each case. For examples see the documentation for HLMresid.

# S3 method for default
LSresids(object, ...)

# S3 method for mer
LSresids(object, level, sim = NULL, standardize = FALSE, ...)

# S3 method for lmerMod
LSresids(object, level, standardize = FALSE, ...)

# S3 method for lme
LSresids(object, level, standardize = FALSE, ...)

Arguments

object

an object of class mer or lmerMod.
...

do not use
level

which residuals should be extracted: 1 for case-level residuals or the name of a grouping factor (as defined in flist of the mer object) for between-group residuals.
sim

optional argument giving the data frame used for LS residuals. This is used mainly when dealing with simulations. Removed in version 0.3.2.
standardize

if TRUE the standardized level-1 residuals will also be returned (if level = 1); if "semi" then the semi-standardized level-1 residuals will be returned.

References

Hilden-Minton, J. (1995) Multilevel diagnostics for mixed and hierarchical linear models. University of California Los Angeles.

See also

HLMresid

Author

Adam Loy loyad01@gmail.com