This function corrects abnormally high count values in minute-to-minute accelerometer data by replacing such values with the average of the neighboring count values.
Time series accelerometer counts vector.
Minimum count value that is considered an artifact.
If TRUE, function skips error checking code and runs slightly faster.
An integer vector identical to the input vector counts but with artifacts corrected.
An integer vector is returned despite the average calculation often producing a decimal. This follows the convention used by the NCI's SAS programs .
Some additional information on the package accelerometry and its functions can be found on the author's website, https://sites.google.com/site/danevandomelen/
Dane R. Van Domelen
1. National Cancer Institute. Risk factor monitoring and methods: SAS programs for analyzing NHANES 2003-2004 accelerometer data. Available at: http://riskfactor.cancer.gov/tools/nhanes_pam. Accessed July 31, 2014.
Acknowledgment: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903.
1 2 3 4 5 6 7 8
# Load in sample data frame data(unidata) # Get data from ID number 21007 counts.part3 <- unidata[unidata[, "seqn"] == 21007, "paxinten"] # Replace artifacts (defined as 10000+ counts) with average of neighboring values counts.part3.corrected <- accel.artifacts(counts = counts.part3, thresh = 10000)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.