sd_pooled | R Documentation |
The Pooled Standard Deviation is a weighted average of standard deviations for two or more groups, assumed to have equal variance. It represents the common deviation among the groups, around each of their respective means.
sd_pooled(x, y = NULL, data = NULL, verbose = TRUE, ...)
mad_pooled(x, y = NULL, data = NULL, constant = 1.4826, verbose = TRUE, ...)
cov_pooled(x, y = NULL, data = NULL, verbose = TRUE, ...)
x , y |
A numeric vector, or a character name of one in |
data |
An optional data frame containing the variables. |
verbose |
Toggle warnings and messages on or off. |
... |
Arguments passed to or from other methods. When |
constant |
scale factor. |
The standard version is calculated as:
\sqrt{\frac{\sum (x_i - \bar{x})^2}{n_1 + n_2 - 2}}
The robust version is calculated as:
1.4826 \times Median(|\left\{x - Median_x,\,y - Median_y\right\}|)
Numeric, the pooled standard deviation. For cov_pooled()
a matrix.
cohens_d()
, mahalanobis_d()
sd_pooled(mpg ~ am, data = mtcars)
mad_pooled(mtcars$mpg, factor(mtcars$am))
cov_pooled(mpg + hp + cyl ~ am, data = mtcars)
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