bootstrap_lm: Creates a dataframe of bootstrapped standard errors given a...
In jameshasbany/fastlm: Quick Checks and Visualizations for Linear Models
Description
Usage
Arguments
Value
Examples
Description
Creates a dataframe of bootstrapped standard errors given a regression, allowing the user to create
confidence intervals, calculate means, plot graphs, etc.
Usage
1
bootstrap_lm(df, model, n = 1000)
Arguments
df
A dataframe R will pull the variables from to run the regression
model
A model object of class "lm" or a valid formula.
n
Number of samples to take from the df and regressions to run
Value
A list of three data frames with bootstrapped estimates of coefficients,
standard errors, and summary statistics.
Examples
1
bootstrap_lm(mtcars, mpg ~ cyl + am + hp)
jameshasbany/fastlm documentation built on July 26, 2020, 9:40 a.m.
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Description Usage Arguments Value Examples
Description
Creates a dataframe of bootstrapped standard errors given a regression, allowing the user to create confidence intervals, calculate means, plot graphs, etc.
Usage
1 | bootstrap_lm(df, model, n = 1000)
|
Arguments
df |
A dataframe R will pull the variables from to run the regression |
model |
A model object of class "lm" or a valid formula. |
n |
Number of samples to take from the df and regressions to run |
Value
A list of three data frames with bootstrapped estimates of coefficients, standard errors, and summary statistics.
Examples
1 | bootstrap_lm(mtcars, mpg ~ cyl + am + hp)
|
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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