sim_missing: Simulate missing data
In katrinajones/regions: Analysis of Regions in Serially-homologous Structures
View source: R/sensitivity_analyses.R
sim_missing R Documentation
Simulate missing data
Description
Randomly replace data elements with NAs, or remove whole vertebrae or variables
Usage
sim_missing(data, missing, type, Xvar)
Arguments
data
data matrix
missing
proportion missing data, from zero to one
type
"elem", "vert", "var" randomly replace elements, whole rows, or whole columns
Xvar
Independent variable
Details
If vertebrae are removed Xvar is corrected
Value
data
xvar
katrinajones/regions documentation built on March 23, 2022, 12:12 a.m.
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View source: R/sensitivity_analyses.R
| sim_missing | R Documentation |
Simulate missing data
Description
Randomly replace data elements with NAs, or remove whole vertebrae or variables
Usage
sim_missing(data, missing, type, Xvar)
Arguments
data |
data matrix |
missing |
proportion missing data, from zero to one |
type |
"elem", "vert", "var" randomly replace elements, whole rows, or whole columns |
Xvar |
Independent variable |
Details
If vertebrae are removed Xvar is corrected
Value
data
xvar
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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