Description Usage Arguments Value Examples
A function to construct individual (X) and moving range (mR) control charts
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| data | comma-separated (.csv), metric file. It should contain a "Precursor" column and the metrics columns. It should also include "Annotations" for each observation. | 
| peptide | the name of precursor of interest. | 
| L | Lower bound of the guide set. | 
| U | Upper bound of the guide set. | 
| metric | the name of metric of interest. | 
| normalization | TRUE if metric is standardized and FALSE if not standardized. | 
| ytitle | the y-axis title of the plot. Defaults to "Individual observations". The x-axis title is by default "Time : name of peptide" | 
| type | the type of the control chart. Two values can be assigned, "mean" or "variability". Default is "mean". | 
| selectMean | the mean of a metric. It is used when mean is known. It is NULL when mean is not known. The default is NULL. | 
| selectSD | the standard deviation of a metric. It is used when standard deviation is known. It is NULL when mean is not known. The default is NULL. | 
A plot of individual values or moving ranges versus time per peptide and metric generated from XmR.data.prepare data frame.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # First process the data to make sure it's ready to use
sampleData <- DataProcess(S9Site54)
head(sampleData)
# Find the name of the peptides
levels(sampleData$Precursor)
# Calculate X and mR statistics
XmRChart(data = sampleData, peptide = "VLVLDTDYK", metric = "BestRetentionTime")
XmRChart(data = sampleData, peptide = "VLVLDTDYK", metric = "BestRetentionTime",
         ytitle = "moving ranges", type = "variability")
XmRChart(data = sampleData, peptide = "VLVLDTDYK", metric = "BestRetentionTime",
         selectMean = 27.78, selectSD = 8.19)
XmRChart(data = sampleData, peptide = "DDGSWEVIEGYR", metric = "TotalArea")
XmRChart(data = sampleData, peptide = "DDGSWEVIEGYR", metric = "TotalArea",
         selectMean = 35097129, selectSD = 34132861)
XmRChart(data = sampleData, peptide = "TAAYVNAIEK", metric = "MaxFWHM")
XmRChart(data = sampleData, peptide = "LVNELTEFAK", metric = "Peak Assymetry")
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