hanaml.CDF.Rdhanaml.CDF is a R wrapper for SAP HANA PAL Cumulative Distribution Function
hanaml.CDF(data, distr.info, col = NULL, complementary = NULL)DataFrame
DataFrame containting the data.
list
Specifies the probability distribution and its parameters.
It should be specified by 3 parameters in the form of a
list: list(distribution, distr.param1, distr.param2).
distribution can be chosen from:
{'uniform','normal', 'weibull', 'gamma'}
. The distribution parameters should be chossen follow the following tabular
| Distribution | Parameter Name | Parameter Value | Constraints |
| Uniform | 'DistributionName' | 'Uniform' | |
| 'Min' | '0.0' | Min<Max | |
| 'Max' | '1.0' | ||
| Normal | 'DistributionName' | 'Normal' | |
| 'Mean' | '0.0' | ||
| 'Variance' | '1.0' | Variance>0 | |
| Weibull | 'DistributionName' | 'Weilbull' | |
| 'Shape ' | '1.0' | Shape>0 | |
| 'Scale' | '1.0' | Scale>0 | |
| Gamma | 'DistributionName' | 'Gamma' | |
| 'Shape ' | '1.0' | Shape>0 | |
| 'Scale' | '1.0' | Scale>0 |
character, optional
Name of the data column that needs to be tested.
If it is not given, the input dataframe must only have one column.
logical, optional
By having complementary is TRUE, it calculates the CCDF value.
Defaults to FALSE.
DataFrame
return the cdf value of the distribution, evaluated at input data
INPUT_DATA: input data x
ROBABILITY: Probability
This algorithm evaluates the Cumulative Distribution Function or complementary cumulative distribution function (CCDF) of a specified probability distribution evaluated at the values in x. CDF describes the value F(x) = P[X<=x] and CCDF the value F_c(x)=1-F(x)=P[X>x] where X is a real-valued random variable.
Input DataFrame data:
> data$$Collect()
DATACOL
1 37.4
2 277.9
3 463.2
Call the function:
> result <- hanaml.CDF(data = data,
distr.info = list("weibull", 2.11995,277.698),
correction = FALSE)
Results:
> result$Collect()
DATACOL PROBABILITY
1 37.4 0.01416002
2 277.9 0.63268765
3 463.2 0.94809354