ds.na: Missing Values of Study Variable
In paularaissa/distStatsClient: Distributed Multiple Imputations
Description
Usage
Arguments
Details
Value
Dependencies
Author(s)
Examples
Description
Computes the missing values of a given study variable.
Count all values set as NA or another missing value indicator.
Usage
1
Arguments
x
a character, the name of study variable.
datasources
a list of opal object(s) obtained after login in to opal servers;
these objects hold also the data assign to R, as data frame, from opal datasources.
Details
It is a wrapper for the server side function getNumNa.
Value
return a numeric value.
Dependencies
getNumNa
Author(s)
Paula Raissa Costa e Silva
Examples
1
2
3
{
na <- ds.na('D$birth_weight')
}
paularaissa/distStatsClient documentation built on June 19, 2019, 12:43 a.m.
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Description Usage Arguments Details Value Dependencies Author(s) Examples
Description
Computes the missing values of a given study variable. Count all values set as NA or another missing value indicator.
Usage
1 |
Arguments
x |
a character, the name of study variable. |
datasources |
a list of opal object(s) obtained after login in to opal servers;
these objects hold also the data assign to R, as |
Details
It is a wrapper for the server side function getNumNa.
Value
return a numeric value.
Dependencies
getNumNa
Author(s)
Paula Raissa Costa e Silva
Examples
1 2 3 | {
na <- ds.na('D$birth_weight')
}
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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