Description Usage Arguments Value Examples
A function to create river plot to aggregate results from X and mR charts or CUSUMm and CUSUMv charts.
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data |
omma-separated (.csv), metric file. It should contain a "Precursor" column and the metrics columns. It should also include "Annotations" for each observation. |
L |
lower bound of the guide set. |
U |
upper bound of the guide set. |
method |
defines the method selected to construct control charts. |
listMean |
list of the means for each metric. It is used when mean is known. It is NULL when mean is not known. The default is NULL. |
listSD |
list of the standard deviations for each metric. It is used when standard deviation is known. It is NULL when mean is not known. The default is NULL. |
A river plot to aggregate results per metric generated from XmR.Summary.DataFrame
data frame or CUSUM.Summary.DataFrame
data frame.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # First process the data to make sure it's ready to use
sampleData <- DataProcess(S9Site54)
head(sampleData)
# Draw XmR summary plot
RiverPlot(data = sampleData)
RiverPlot(data = sampleData, L=1, U=20, method = "XmR",
listMean = list("BestRetentionTime" = 27.78,
"TotalArea" = 35097129,
"MaxFWHM" = 0.28,
"MinStartTime" = 24),
listSD = list("BestRetentionTime" = 8.19,
"TotalArea" = 34132861,
"MaxFWHM" = 0.054,
"MinStartTime" = 24)
)
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