surveyoutliers: Helps Manage Outliers in Sample Surveys
Version 0.1

At present, the only functionality is the calculation of optimal one-sided winsorizing cutoffs. The main function is optimal.onesided.cutoff.bygroup. It calculates the optimal tuning parameter for one-sided winsorisation, and so calculates winsorised values for a variable of interest. See the help file for this function for more details and an example.

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AuthorRobert Clark
Date of publication2016-01-25 08:55:18
Maintainer"Robert Clark" <rclark@uow.edu.au>
LicenseGPL-2 | GPL-3
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("surveyoutliers")

Man pages

optimal.onesided.cutoff: Optimal one-sided winsorization for survey outliers
optimal.onesided.cutoff.bygroup: Optimal one-sided winsorization for survey outliers by group
robust.lm.onesided: Robust Regression using One-Sided Huber Function
survdat.example: An example sample data file of 5000 respondents.

Functions

optimal.onesided.cutoff Man page Source code
optimal.onesided.cutoff.bygroup Man page Source code
robust.lm.onesided Man page Source code
survdat.example Man page

Files

inst
inst/CITATION
inst/surveyoutliers.pdf
NAMESPACE
data
data/survdat.example.rdata
R
R/robust.lm.onesided.R
R/optimal.onesided.cutoff.bygroup.R
R/data.R
R/surveyoutliers.R
R/optimal.onesided.cutoff.R
MD5
DESCRIPTION
man
man/optimal.onesided.cutoff.Rd
man/optimal.onesided.cutoff.bygroup.Rd
man/robust.lm.onesided.Rd
man/survdat.example.Rd
surveyoutliers documentation built on May 20, 2017, 3:27 a.m.