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accrued (version 1.2)

accrued-package: accrued package for data quality visualization

Description

Package for visualizing data quality of partially accruing time series.

Arguments

Details

ll{ Package: accrued Type: Package Version: 1.1 Date: 2014-09-03 License: GPL-3 }

References

[1] Painter, I., Eaton, J., Olson, D., Revere, D., & Lober, W. (2011). How good is your data. In 2011 ISDS Conference Abstract. Emerging Health Threats Journal, 4. (http://www.eht-journal.net/index.php/ehtj/article/view/11907)

[2] Painter, I., Eaton, J., Olson, D., Lober, W., & Revere, D. (2011). Visualizing data quality: tools and views. In 2011 ISDS Conference Abstract. Emerging Health Threats Journal, 4. (http://www.eht-journal.net/index.php/ehtj/article/view/11907)

[3] Lober W., Reeder B., Painter I., Revere D., Bugni P. McReynolds J., Goldov K., Webseter E., & Olson D. (2014). Technical Description of the Distribute Project: A Community-based Syndromic Surveillance System Implementation. Online Journal of Public Health Informatics, 5.

Others are forthcoming.

Examples

Run this code
data(accruedDataExample)
testData = data.accrued(accruedDataExample)
plot(testData)
summary(testData)
plot(summary(testData))
uploadPattern(testData)
laggedTSarray(testData, lags=c(1,3,5,7) )
lagHistogram(testData)
accruedErrors(testData)
summary(accruedErrors(testData))
plot(accruedErrors(testData))

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