stackedUploadData: Subfunction used by the upload pattern and barcode plot...
In accrued: Data Quality Visualization Tools for Partially Accruing Data
Description
Usage
Arguments
Details
Value
Author(s)
See Also
View source: R/stackedUploadData.R
Description
This subfunction organizes the partially accruing data into a matrix that includes accrual lag as a variable.
Usage
1
Arguments
x
Object of the accrued class.
Details
This should only be used on accrued data that are counts. No error will be thrown in the case of non-count data, but the results will not make sense.
Value
A data frame with the columns consisting of event date (encounter date), record date (upload date), accrual lag (lag), counts (time series value), number added.
Author(s)
Julie Eaton and Ian Painter
See Also
data.accrued,
uploadPattern,
barcode
accrued documentation built on May 2, 2019, 4:01 p.m.
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.
Description Usage Arguments Details Value Author(s) See Also
View source: R/stackedUploadData.R
Description
This subfunction organizes the partially accruing data into a matrix that includes accrual lag as a variable.
Usage
1 |
Arguments
x |
Object of the |
Details
This should only be used on accrued data that are counts. No error will be thrown in the case of non-count data, but the results will not make sense.
Value
A data frame with the columns consisting of event date (encounter date), record date (upload date), accrual lag (lag), counts (time series value), number added.
Author(s)
Julie Eaton and Ian Painter
See Also
data.accrued,
uploadPattern,
barcode
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.