accrued-package: Data Quality Visualization Tools for Partially Accruing Data

Description Details Author(s) References Examples

Description

Package for visualizing data quality of partially accruing data.

Details

Package: accrued
Type: Package
Version: 1.4.1
Date: 2016-06-07
License: GPL-3

Author(s)

Julie Eaton ([email protected]) and Ian Painter

References

[1] Painter I, Eaton J, Olson D, Revere D, Lober W. How good is your data. In conference abstracts for the International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance. Emerging Health Threats Journal. 2011;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 conference abstracts for the International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance. Emerging Health Threats Journal. 2011;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, Webster E, Olson D. Technical Description of the Distribute Project: A Community-based Syndromic Surveillance System Implementation. Online Journal of Public Health Informatics. 2014;5(3). (http://dx.doi.org/10.5210/ojphi.v5i3.4938)

[4] J. Eaton, I. Painter, D. Olson, W. Lober. Visualizing the quality of partially accruing data for use in decision making. Online Journal of Public Health Informatics. 2015;7(3). (http://dx.doi.org/10.5210/ojphi.v7i3.6096)

Examples

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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)
summary(accruedErrors(testData))
plot(accruedErrors(testData))
currentValues = asOf(testData, currentDate=20)
# plot(currentValues)

data(accruedDataILIExample)
testData2 <- data.accrued(accruedDataILIExample)
plot(accruedErrors(testData, testData2))

Example output

Loading required package: grid

Summary of accrued data object with  time points.

        Upload Proportion  Mean Proportion  Mean Count  Quartile 1  Median
 Lag                                                                      
 0      0.61               0.00               1.5       0.00        0.00  
 1      0.84               0.26             122.9       0.19        0.25  
 2      0.86               0.56             268.8       0.50        0.57  
 3      0.86               0.75             358.8       0.71        0.77  
 4      0.93               0.92             437.4       0.89        0.93  
 5      1.00               0.97             462.3       0.95        1.00  
 6      1.00               0.99             471.1       0.99        1.00  
 7      1.00               0.99             470.5       1.00        1.00  
 8      1.00               0.99             473.0       1.00        1.00  
 9      1.00               1.00             477.3       1.00        1.00  
 10     1.00               1.00             477.4       1.00        1.00  
 11     1.00               1.00             477.5       1.00        1.00  
 12     1.00               1.00             477.6       1.00        1.00  
 final  1.00               1.00             477.6       1.00        1.00  
        Quartile 3
 Lag              
 0      0.00      
 1      0.33      
 2      0.65      
 3      0.81      
 4      0.97      
 5      1.00      
 6      1.00      
 7      1.00      
 8      1.00      
 9      1.00      
 10     1.00      
 11     1.00      
 12     1.00      
 final  1.00      
        0   1     2     3    4    5  6    7 8 9 10 11 12
0.1 437.2 288 136.2  53.2  5.0  0.0  0  0.0 0 0  0  0  0
0.5 472.0 351 206.0 116.0 32.0  1.5  0  0.0 0 0  0  0  0
0.9 513.8 439 291.6 178.8 78.6 45.0 24 11.1 0 0  0  0  0

accrued documentation built on May 30, 2017, 8:14 a.m.