Compute various descriptive statistics
data_outline.RdCompute various descriptive statistics of x, such as mean, median, skewness, and kurtosis, etc.
Value
A data.frame with variables:
- N
The length.
- Mean
The mean.
- Var
The variance.
- std_dev
Standard deviation.
- Median
The median.
- std_mean
The standard error of the sample mean.
- CV
The coefficient of variation.
- CSS
The corrected sum of squares.
- USS
The uncorrected sum of squares.
- R
The extreme difference.
- R1
The half extreme difference, or the difference of upper quartile and lower quartile.
- Skewness
The coefficient of skewness.
- Kurtosis
The coefficient of kurtosis.
- row.names
1.
References
Zhang, Y. Y., Wei, Y. (2013), One and two samples using only an R funtion, doi:10.2991/asshm-13.2013.29 .
Author
Ying-Ying Zhang (Robert) robertzhangyying@qq.com
Examples
x=rnorm(10, mean = 1, sd = 0.2); x
#> [1] 0.5125473 0.9988857 1.1243105 1.2296823 0.6356365 0.9505349 0.9511601
#> [8] 0.9434589 0.8892601 1.1257964
data_outline(x)
#> N Mean Var std_dev Median std_mean CV CSS
#> 1 10 0.9361273 0.04821101 0.2195701 0.9508475 0.06943415 23.45515 0.4338991
#> USS R R1 Skewness Kurtosis
#> 1 9.197242 0.717135 0.1901445 -0.8422809 0.3876286