Small functions to make working with survey data in the context of a Net Promoter programme easier. Specifically, data transformation methods, some methods for examining the statistical properties of the NPS, such as its variance and standard errors, and some simple inferential testing procedures. Net Promoter and NPS are registered trademarks of Bain & Company, Satmetrix Systems and Fred Reichheld.

Install the latest version of this package by entering the following in R:

`install.packages("NPS")`

Author | Brendan Rocks |

Date of publication | 2014-12-04 01:12:37 |

Maintainer | Brendan Rocks <rocks.brendan@gmail.com> |

License | GPL (>= 2) |

Version | 1.1 |

**npc:** Create Net Promoter Categories from Likelihood to Recommend...

**nps:** Calculate a Net Promoter Score

**NPS-package:** Convenience Functions and Tests for Working With the Net...

**nps.se:** Calculate the standard error of a Net Promoter Score

**nps.test:** Significance tests and confidence intervals for Net Promoter...

**nps.var:** Calculate the variance of a Net Promoter Score

**npvar:** Calculate the variance of a Net Promoter Score

**scalestrip:** Strips Likert scale point labels, returns numeric or ordinal...

**testdata:** This is data to be included in my package

NAMESPACE

data

data/testdata.rda

R

R/Documented_Small_NPS_Functions.r
R/Documented_Package_and_Data_details.r
MD5

DESCRIPTION

man

man/NPS-package.Rd
man/nps.test.Rd
man/scalestrip.Rd
man/nps.var.Rd
man/npvar.Rd
man/npc.Rd
man/nps.se.Rd
man/testdata.Rd
man/nps.Rd
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Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.

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