| tidy_kurtosis_vec {TidyDensity} | R Documentation |
Compute Kurtosis of a Vector
Description
This function takes in a vector as it's input and will return the kurtosis of that vector. The length of this vector must be at least four numbers. The kurtosis explains the sharpness of the peak of a distribution of data.
((1/n) * sum(x - mu})^4) / ((()1/n) * sum(x - mu)^2)^2
Usage
tidy_kurtosis_vec(.x)
Arguments
.x |
A numeric vector of length four or more. |
Details
A function to return the kurtosis of a vector.
Value
The kurtosis of a vector
Author(s)
Steven P. Sanderson II, MPH
See Also
https://en.wikipedia.org/wiki/Kurtosis
Other Vector Function:
bootstrap_p_vec(),
bootstrap_q_vec(),
cgmean(),
chmean(),
ckurtosis(),
cmean(),
cmedian(),
csd(),
cskewness(),
cvar(),
tidy_scale_zero_one_vec(),
tidy_skewness_vec()
Other Statistic:
ci_hi(),
ci_lo(),
tidy_range_statistic(),
tidy_skewness_vec(),
tidy_stat_tbl()
Other Vector Function:
bootstrap_p_vec(),
bootstrap_q_vec(),
cgmean(),
chmean(),
ckurtosis(),
cmean(),
cmedian(),
csd(),
cskewness(),
cvar(),
tidy_scale_zero_one_vec(),
tidy_skewness_vec()
Examples
tidy_kurtosis_vec(rnorm(100, 3, 2))