summary_das {DASplusR} | R Documentation |
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.
summary_das() # A TCL-GUI is provided for the user interaction.
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 |
Roland Boubela, mailto:roland.boubela 'at' gmail.com
quantile
, median
, mean
, min
,max
,
sd
,mad
,IQR
,ks.test
,shapiro.test
# summary_das() works only if DAS+R is loaded ## Not run: summary_das()