Summary

Extended summary function for numeric objects, with 13 summary statistics.

Usage

smry(x, ...)

# Default S3 method
smry(x, na.rm=TRUE, digits = max(3, getOption("digits")-3), ...)

# S3 method for class 'zoo'
smry(x, na.rm=TRUE, digits = max(3, getOption("digits")-3), ...)

# S3 method for class 'Date'
smry(x, na.rm=TRUE, digits = max(3, getOption("digits")-3), ...)

# S3 method for class 'matrix'
smry(x, na.rm=TRUE, digits = max(3, getOption("digits")-3), ...)

# S3 method for class 'data.frame'
smry(x, na.rm=TRUE, digits = max(3, getOption("digits")-3), ...)

Arguments

x

a numeric object, vector, matrix or data.frame, for which a summary is desired.

na.rm

a logical value indicating whether 'NA' values should be stripped before the computation proceeds.

digits

numeric, with the amount of decimal places to be included in the result

...

further arguments passed to or from other methods.

Value

Computed summary statistics are:

Min

Minimum

1stQ

First quartile (lower-hinge)

Mean

Mean value

Median

Median

3rdQ

Third quartile ( upper-hinge

Max

Maximum of the input values.

IQR

Interquartile Range. IQR(x) = quantile(x,3/4) - quantile(x,1/4)

sd

Standard deviation. It uses 'n-1' as denominator.

cv

Coefficient of variation ( cv= sd / |mean| )

skewness

Skewness (using e1071 package)

kurtosis

Kurtosis (using e1071 package)

n

Total number of elements

NA's

Amount of missing values

Author

Mauricio Zambrano-Bigiarini mzb.devel@gmail

Note

Skewness and Kurtosis are computed with the e1071 package

See also

summary, fivenum, IQR, sd, skewness, kurtosis

Examples

## Loading the monthly time series of precipitation within the Ebro River basin.
data(EbroPPtsMonthly)

## Summary of monthly precipitation values for the first 7 stations in 'EbroPPtsMonthly'
smry(EbroPPtsMonthly[,2:8])
#>             P9001   P9008X    P9012    P9015    P9019    P9027    P9034
#> Min.       0.2000   0.0000   0.0000   0.0000   0.0000   0.0000   0.0000
#> 1st Qu.   31.0200  36.9200  32.9300  24.0500  23.9000  25.4200  20.8800
#> Median    54.5000  66.0500  58.7000  51.1000  43.8500  48.9000  44.9000
#> Mean      71.9100  85.1700  75.9000  56.0400  55.2800  56.0500  52.9900
#> 3rd Qu.   93.9000 118.4000  99.0800  81.7500  71.0500  71.7000  71.4300
#> Max.     332.3000 363.0000 250.2000 177.6000 222.0000 199.8000 264.0000
#> IQR       62.8750  81.4500  66.1500  57.7000  47.1500  46.2750  50.5500
#> sd        61.3760  70.6334  58.4684  39.0676  41.4306  42.1284  45.5866
#> cv         0.8536   0.8293   0.7703   0.6972   0.7495   0.7516   0.8603
#> Skewness   1.8593   1.4694   1.1176   0.9089   1.4439   1.2535   1.4455
#> Kurtosis   4.2949   2.3423   0.5254   0.4836   2.3071   1.7802   2.9941
#> NA's       0.0000   0.0000   0.0000   0.0000   0.0000   0.0000   0.0000
#> n        120.0000 120.0000 120.0000 120.0000 120.0000 120.0000 120.0000