ols_prep_dfbeta_outliers: DFBETAs plot outliers
In cmlopera/olsrr: Tools for Building OLS Regression Models
Description
Usage
Arguments
Examples
Description
Data for identifying outliers in dfbetas plot.
Usage
1
Arguments
d
A tibble or data.frame.
Examples
1
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3
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8
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
dfb <- dfbetas(model)
n <- nrow(dfb)
threshold <- 2 / sqrt(n)
dbetas <- dfb[, 1]
df_data <- tibble::tibble(obs = seq_len(n), dbetas = dbetas)
d <- ols_prep_dfbeta_data(df_data, threshold)
ols_prep_dfbeta_outliers(d)
cmlopera/olsrr documentation built on May 26, 2019, 10:34 a.m.
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Description Usage Arguments Examples
Description
Data for identifying outliers in dfbetas plot.
Usage
1 |
Arguments
d |
A |
Examples
1 2 3 4 5 6 7 8 | model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
dfb <- dfbetas(model)
n <- nrow(dfb)
threshold <- 2 / sqrt(n)
dbetas <- dfb[, 1]
df_data <- tibble::tibble(obs = seq_len(n), dbetas = dbetas)
d <- ols_prep_dfbeta_data(df_data, threshold)
ols_prep_dfbeta_outliers(d)
|
R Package Documentation
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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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