tidy_kurtosis_vec {TidyDensity} | R Documentation |
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
tidy_kurtosis_vec(.x)
.x |
A numeric vector of length four or more. |
A function to return the kurtosis of a vector.
The kurtosis of a vector
Steven P. Sanderson II, MPH
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()
tidy_kurtosis_vec(rnorm(100, 3, 2))