moments

Source: R/moments.R

Calculate statistical moments of a distribution

moments(x, plot = FALSE)

Arguments

x

numeric vector
plot

plot of distribution (TRUE/FALSE)

Value

A vector with the following values:

  • min Minimum

  • 25th 25th percentile

  • mean Arithmetic mean

  • gmean Geometric mean

  • hmean Harmonic mean

  • median 50th percentile

  • 7th5 75th percentile

  • max Maximum

  • stdv Standard deviation

  • var Variance

  • cv Coefficient of variation (percent)

  • mad Median absolute deviation

  • skew Skewness

  • kurt Kurtosis

  • nmodes Number of modes

  • mode Mode (dominate)

Author

Jeffrey S. Evans jeffrey_evans@tnc.org

Examples

    x <- runif(1000,0,100)
    ( d <- moments(x, plot=TRUE) )

#>          min         25th         mean        hmean        gmean       median 
#>   0.03595504  23.25769317  48.30850831  10.28245797  35.03625649  46.83070404 
#>         75th          max         stdv          var           cv          mad 
#>  72.33565453  99.86989077  29.05190045 844.01291982  60.13826853  36.24171848 
#>         skew         kurt       nmodes         mode 
#>   0.09909515  -1.20418387   3.00000000  26.92783441 
    ( mode.x <- moments(x, plot=FALSE)[16] )

#>     mode 
#> 26.92783