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surveyoutliers  

Helps Manage Outliers in Sample Surveys
View on CRAN: Click here


Download and install surveyoutliers package within the R console
Install from CRAN:
install.packages("surveyoutliers")

Install from Github:
library("remotes")
install_github("cran/surveyoutliers")

Install by package version:
library("remotes")
install_version("surveyoutliers", "0.1")



Attach the package and use:
library("surveyoutliers")
Maintained by
Robert Clark
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-21
Latest Update: 2023-08-18
Description:
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.
How to cite:
Robert Clark (2015). surveyoutliers: Helps Manage Outliers in Sample Surveys. R package version 0.1, https://cran.r-project.org/web/packages/surveyoutliers. Accessed 24 Apr. 2025.
Previous versions and publish date:
0.0 (2015-12-21 11:33), 0.1 (2016-01-25 08:55)
Other packages that cited surveyoutliers R package
View surveyoutliers citation profile
Other R packages that surveyoutliers depends, imports, suggests or enhances
Functions, R codes and Examples using the surveyoutliers R package
Some associated functions: optimal.onesided.cutoff.bygroup . optimal.onesided.cutoff . robust.lm.onesided . survdat.example . 
Some associated R codes: data.R . optimal.onesided.cutoff.R . optimal.onesided.cutoff.bygroup.R . robust.lm.onesided.R . surveyoutliers.R .  Full surveyoutliers package functions and examples
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