Exploratory Data Analysis

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

eda(x, trim = 0.05, dec = 5, tquan = 7)

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.
dec	is a number specifying the number of decimals
tquan	type of quantile 1 through 9. For the various types of quantiles, see quantile.

Value

Function returns various measures of center and location. The values returned for the quartiles are based on the default R definitions for quartiles. For more information on the definition of the quartiles, type ?quantile and read about the algorithm used by type = 7.

Details

The function eda() will not return console 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.

See also

quantile

Examples

eda(x = rnorm(100))
#>  Size (n)   Missing   Minimum    1st Qu      Mean    Median    TrMean    3rd Qu 
#> 100.00000   0.00000  -2.61233  -0.35608   0.07079   0.09104   0.07676   0.62341 
#>       Max     Stdev       Var   SE Mean    I.Q.R.     Range  Kurtosis  Skewness 
#>   2.75542   1.05091   1.10440   0.10509   0.97949   5.36775   0.24235  -0.20594 
#>  SW p-val 
#>   0.13736 
# Produces four graphs for the 100 randomly
# generated standard normal variates.