makeMissing: makeMissing
In calebki/rctmiss: Missing Data Simulation Environment
Description
This function take a complete dataset and generates missingness
Usage
1
2
makeMissing(outcomeType, mechanism, numSamp, propMiss, rr, df, beta0, beta1,
beta2, xmean)
Arguments
outcomeType
Is the outcome variable binary or continuous?
mechanism
What is the missing data mechanism?
numSamp
Number of observations in the sample
propMiss
Expected proportion of missingness
rr
Risk ratio
df
The complete dataframe
beta0
Intercept
beta1
Treatment effect
beta2
Slope of auxiliary variable
xmean
Mean of auxiliary variable
calebki/rctmiss documentation built on May 3, 2019, 2:56 p.m.
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Description
This function take a complete dataset and generates missingness
Usage
1 2 | makeMissing(outcomeType, mechanism, numSamp, propMiss, rr, df, beta0, beta1,
beta2, xmean)
|
Arguments
outcomeType |
Is the outcome variable binary or continuous? |
mechanism |
What is the missing data mechanism? |
numSamp |
Number of observations in the sample |
propMiss |
Expected proportion of missingness |
rr |
Risk ratio |
df |
The complete dataframe |
beta0 |
Intercept |
beta1 |
Treatment effect |
beta2 |
Slope of auxiliary variable |
xmean |
Mean of auxiliary variable |
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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