
R 中的反正弦变换(附示例) - statorials.org
我们可以使用以下语法在 R 中执行反正弦变换: asin(sqrt(x)) 以下示例展示了如何在实践中使用此语法。 示例1:0和1之间的值的反正弦变换. 下面的代码展示了如何对0到1之间的向量值进行 …
arcsinh_x function - RDocumentation
arcsinh_x performs an arcsinh transformation in the context of bestNormalize, such that it creates a transformation that can be estimated and applied to new data via the predict function. The …
Arcsine Transformation in R (With Examples) - Statology
Jun 21, 2021 · This tutorial explains how to perform an arcsine transformation on data in R, including several examples.
arcsinh(x) Transformation - search.r-project.org
arcsinh_x performs an arcsinh transformation in the context of bestNormalize, such that it creates a transformation that can be estimated and applied to new data via the predict function. The …
arcsinh_x : arcsinh(x) Transformation - R Package Documentation
Aug 18, 2023 · arcsinh_x performs an arcsinh transformation in the context of bestNormalize, such that it creates a transformation that can be estimated and applied to new data via the …
R语言 如何进行正弦变换 - 极客教程
语法: asin (sqrt (data)) 其中,数据属于从0到1的数值范围。 0到1范围内的数值的正弦变换 在这里,我们将创建一个数值在给定范围内的向量,并进行正弦变换。 例子: 正弦变换 # create a …
The sinh-arcsinh normal distribution - R-bloggers
Apr 15, 2019 · While the normal distribution is symmetric and has light to moderate tails and can be defined by just two parameters (for location and . for scale), the sinh-arcsinh distribution …
利用R语言实现反正弦转换(arcsine-transformed) - CSDN博客
在这其中,一个常见的操作是将被试反应的错误率 反正弦转换 (arcsine-transformed)。 接下来,我将呈现如何通过 R语言 实现反正弦转换 (arcsine-transformed)。 用数据模拟的方法. 文章浏览 …
transformData : Transform data - R Package Documentation
Nov 8, 2020 · This function implements an inverse hyperbolic sine ('arcsinh') transform with adjustable 'cofactor' parameter. The arcsinh transform is widely used for CyTOF data. It …
Arcsine Transformation in R - ProgrammingR
The arcsine transformation is a combination of the arcsine and square root transformation functions. It takes the form of asin (sqrt (x)) where x is a real number from 0 to 1. It is a square …
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