| Title: | Enables Blind Review of Database |
| Version: | 2.0.0 |
| Description: | Randomly reassigns the group identifications to one of the variables of the database, say Treatment, and randomly reassigns the observation numbers of the dataset. Reorders the observations according to these new numbers. Centers each group of Treatment at the grand mean in order to further mask the treatment. An unmasking function is provided so that the user can identify the potential outliers in terms of their original values when blinding is no longer needed. It is suggested that a forward search procedure be performed on the masked data. Details of some forward search functions may be found in https://CRAN.R-project.org/package=forsearch. |
| Depends: | R (≥ 4.2) |
| License: | GPL (≥ 3) |
| SystemRequirements: | gmp (>= 4.1) |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.2.3 |
| Imports: | Hmisc(≥ 4.7.2) |
| Suggests: | rmarkdown, knitr |
| NeedsCompilation: | no |
| Packaged: | 2024-01-16 15:28:52 UTC; NO |
| Author: | William Fairweather [aut, cre] |
| Maintainer: | William Fairweather <wrf343@flowervalleyconsulting.com> |
| Repository: | CRAN |
| Date/Publication: | 2024-01-16 15:50:06 UTC |
Enables Blind Review of Database
Description
Assigns identification randomly to one of the variables of the dataset as chosen by the user, say Treatment, and assigns random number to the observations of the dataset. Reorders the observations. A file is created so that the user can identify any outliers identified by the review in terms of their original, unchanged values.
Usage
brMask(data, blinded, verbose=TRUE)
Arguments
data |
Database to be evaluated |
blinded |
Character, name of variable to be blinded |
verbose |
TRUE causes function identifier to display before and after run |
Details
The first variable of the database must be Observation. The first element of the brMask object is the database to be reviewed blindly.
Value
LIST
Masked Dataframe |
Database with substitute variable and substitute observation numbers |
Randomization Date |
Date of randomization of blinded items |
Variable |
Codes for unblinding variable that was blinded |
Observations |
Codes for unblinding observation numbers |
Call |
Call to this function |
Author(s)
William R. Fairweather
References
Atkinson, A and M Riani. Robust Diagnostic Regression Analysis, Springer, New York, 2000. Pinheiro, JC and DM Bates. Mixed-Effects Models in S and S-Plus, Springer, New York, 2000. https://CRAN.R-project.org/package=forsearch E9 Statistical Principles for clinical Trials, US Food & Drug Administration and International Conference on Harmonization, 1998
Examples
Observation <- 1:14
Dose <- c(3.4,5.2,7,8.5,10.5,13,18,21,28,6.5,10,14,21.5,29)
Prep <- factor(c(rep(0,9),rep(1,5)))
Convulse <- c(0,5,11,14,18,21,23,30,27,2,10,18,21,27)
Total <- c(33,32,38,37,40,37,31,37,30,40,30,40,35,37)
NoConvulse <- Total-Convulse
mice <- data.frame(Observation,Dose,Prep,Convulse,Total,NoConvulse)
brMask(data=mice,blinded="Prep")
Print Tables of Encoded and Original Variable IDs and Observation Numbers
Description
Prints tables resulting from masking performed by brMask function to permit user to identify potential outliers by their original identities
Usage
unmask(object, obsrange=NULL, verbose=TRUE)
Arguments
object |
Name of brMask object |
obsrange |
NULL or vector of integers, NULL causes entire data frame of observation numbers to be printed |
verbose |
TRUE causes function identifier to display before and after run |
Value
None returned, printout only
Author(s)
William R. Fairweather