blindDataRegression_CreateNewCoefficients: Suitable for regression: This function creates new...
In rjbderooij/blindData_Git: Blind Data
View source: R/blindDataRegression_CreateNewCoefficients.R
Description
Suitable for regression:
This function creates new coefficients by replacing the original
coefficients with a random value from a random uniform distribution between
(-0.5 and +.5) that is multiplied by a scaling factor that is calculated by
dividing the sd of the dependent variabel from the entire data by the sd
of the predictor.
Usage
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blindDataRegression_CreateNewCoefficients(
df_original,
y,
predictors,
update_labels = TRUE
)
Arguments
df_original
# original dataframe
y
# name of dependent variable
predictors
# name of predictors, for example c("expert", "conflict)
update_labels
# if TRUE update labels to BLIND_[abbrevation]_[name]
rjbderooij/blindData_Git documentation built on Dec. 20, 2020, 5:17 a.m.
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View source: R/blindDataRegression_CreateNewCoefficients.R
Description
Suitable for regression: This function creates new coefficients by replacing the original coefficients with a random value from a random uniform distribution between (-0.5 and +.5) that is multiplied by a scaling factor that is calculated by dividing the sd of the dependent variabel from the entire data by the sd of the predictor.
Usage
1 2 3 4 5 6 | blindDataRegression_CreateNewCoefficients(
df_original,
y,
predictors,
update_labels = TRUE
)
|
Arguments
df_original |
# original dataframe |
y |
# name of dependent variable |
predictors |
# name of predictors, for example c("expert", "conflict) |
update_labels |
# if TRUE update labels to BLIND_[abbrevation]_[name] |
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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