summary_das {DASplusR}R Documentation

The DAS+R Summary

Description

The DAS+R Summary gives you the ability to create an overview of the selected variables of your active dataset. It is also possible to save the output of the function to a CSV-File.

Usage

summary_das()
# A TCL-GUI is provided for the user interaction.

Details

The following items could be selected to be shown in the summary.
Item Description R command
Number of Obervations Number of Observations from one variable
Missings Number of Missing Observations
Minimum The Minimum of all not missing Observations from one variable min
Lower Detection Limit The Lower Detection Limit for the variable defined in the DAS-Dataset
Upper Detection Limit The Upper Detection Limit for the variable defined in the DAS-Dataset
0.02-Percentile quantile
0.05-Percentile quantile
0.10-Percentile quantile
1st-Quartile quantile
Median median
Mean-log mean, log
Mean mean
3rd-Quartile quantile
0.90-Percentile quantile
0.95-Percentile quantile
0.98-Percentile quantile
Maximum max
Standard Deviation sd
Median Absolute Deviation mad
Interquartile Range IQR
CV sd, mean
CV Robust mad, median
Kolmogorov-Smirnov Test for Normal Distribution Provides the p-value of the test ks.test
Shapiro-Wilk Normality Test Provides the p-value of the test shapiro.test
Kolmogorov-Smirnov Test for Log-Normal Distribution Provides the p-value of the test ks.test
Shapiro-Wilk Log-Normality Test Provides the p-value of the test shapiro.test

Author(s)

Roland Boubela, mailto:roland.boubela 'at' gmail.com

See Also

quantile, median, mean, min,max, sd,mad,IQR,ks.test,shapiro.test

Examples

# summary_das() works only if DAS+R is loaded
## Not run: summary_das()

[Package DASplusR version 1.0-1 Index]