summarise_skewness: Summarise Skewness
In tidySummaries: Tidy Statistical Summaries for Exploratory Data Analysis
View source: R/summarise_skewness.R
summarise_skewness R Documentation
Summarise Skewness
Description
Calculates skewness for numeric vectors, matrices, data frames, or tibbles using Pearson’s moment coefficient.
Usage
summarise_skewness(x)
Arguments
x
A numeric vector, matrix, data frame, or tibble.
Value
A tibble:
- If input has one numeric column or is a numeric vector: a tibble with a single value.
- If input has multiple numeric columns: a tibble with variable names and skewness values.
Examples
summarise_skewness(iris)
summarise_skewness(as.vector(iris$Sepal.Width))
summarise_skewness(data.frame(a = rnorm(100), b = rgamma(100, 2)))
tidySummaries documentation built on June 8, 2025, 11:35 a.m.
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View source: R/summarise_skewness.R
| summarise_skewness | R Documentation |
Summarise Skewness
Description
Calculates skewness for numeric vectors, matrices, data frames, or tibbles using Pearson’s moment coefficient.
Usage
summarise_skewness(x)
Arguments
x |
A numeric vector, matrix, data frame, or tibble. |
Value
A tibble: - If input has one numeric column or is a numeric vector: a tibble with a single value. - If input has multiple numeric columns: a tibble with variable names and skewness values.
Examples
summarise_skewness(iris)
summarise_skewness(as.vector(iris$Sepal.Width))
summarise_skewness(data.frame(a = rnorm(100), b = rgamma(100, 2)))
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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