splitData: Split Data
In schwenzfeier/udp: Statistically Useful Differential Privacy
Description
Usage
Arguments
Value
Description
Splits the dataset into P partitions of size n
Usage
1
splitData(N, n, P, disjoint = T)
Arguments
N
Rows in dataset
n
Number of rows desired in a single partition
P
Number of partitions
disjoint
Whether samples should be allowed to overlap
Value
data_list
List of row numbers
schwenzfeier/udp documentation built on April 1, 2021, 3:39 a.m.
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Description Usage Arguments Value
Description
Splits the dataset into P partitions of size n
Usage
1 | splitData(N, n, P, disjoint = T)
|
Arguments
N |
Rows in dataset |
n |
Number of rows desired in a single partition |
P |
Number of partitions |
disjoint |
Whether samples should be allowed to overlap |
Value
data_list |
List of row numbers |
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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