Exploratory Data Analysis

Function that produces a histogram, density plot, boxplot, and Q-Q plot.

EDA(x, trim = 0.05)

Arguments

x	is a numeric vector where NAs and Infs are allowed but will be removed.
trim	is a fraction (between 0 and 0.5, inclusive) of values to be trimmed from each end of the ordered data such that if trim = 0.5, the result is the median.

Value

Function returns various measures of center and location. The values returned for the Quartiles are based on the definitions used in Minitab and SPSS. The boxplot is based on the Quartiles returned in the commands window. For more information on the definition of the Quartiles, type ?quantile and read about the algorithm used by type=6.

Details

Will not return command window information on data sets containing more than 5000 observations. It will, however, still produce graphical output for data sets containing more than 5000 observations.

Note

Requires package e1071.

Examples

EDA(rnorm(100))
#> [1] "rnorm(100)"
#> Size (n)  Missing  Minimum   1st Qu     Mean   Median   TrMean   3rd Qu 
#>  100.000    0.000   -2.560   -0.431    0.084    0.072    0.084    0.777 
#>     Max.   Stdev.     Var.  SE Mean   I.Q.R.    Range Kurtosis Skewness 
#>    2.677    0.992    0.984    0.099    1.208    5.237    0.427   -0.054 
#> SW p-val 
#>    0.522 
    # Produces four graphs for the 100 randomly
    # generated standard normal variates.