how to create obustbase in r

To create a robustbase in R, you first need to install and import the "robustbase" package using the following code:

main.r
install.packages("robustbase") # install robustbase package
library(robustbase)           # import robustbase package
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Next, you can use the functions provided by the robustbase package to create robust base estimators, perform outlier detection, and conduct robust regression analysis on your data.

Here is an example of how to create a robustbase estimator using the "lmrob()" function:

main.r
# create some sample data
x <- rnorm(100, 0, 1)
y <- 2*x + rnorm(100)

# create a robustbase estimator using the lmrob() function
lm.fit <- lmrob(y ~ x)

# print the robustbase estimator coefficients
summary(lm.fit)$coefficients
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This will output the coefficient estimates for the robustbase estimator, which are based on a robust regression analysis that is less sensitive to outliers in the data.