The histogram and/or boxplot of the intensity data for each time point after normalization. The function generates a ggplot
plot.
plotHistBox(
netPhorceData = netPhorceData,
condition = NULL,
histogram = TRUE,
boxplot = TRUE
)
(Required). Processed NetPhorce Object
(Required). Select a specific condition from your experiment.
(Optional). Enable the histogram Plot. If the boxplot parameter is also TRUE, a side-by-side plot will be generated.
(Optional). Enable the boxplot. If the histogram parameter is also TRUE, a side-by-side plot will be generated.
A ggplot object
if (FALSE) {
## Loading Two Conditions Example
data("twoConditionsExample")
## Identify the Key Columns
identifiedCols <- confirmColumnNames(
rawMaxQuant = twoConditionsExample,
positionCol = "Position",
reverseCol = "Reverse",
localizationProbCol = "Localization prob",
potentialContaminationCol = "Potential contaminant",
aminoAcidCol = "Amino acid",
uniqueIDCol = "Protein",
seqWindowIDCol = "Sequence window",
fastaIDCol = "Fasta headers")
## Identify the Intensity Columns with Condition, Time Point and Replication Information
intensityCols <- confirmIntensityColumns(rawMaxQuant = twoConditionsExample,
intensityPattern = "con_time_rep",
verbose = TRUE)
## Process the data based on the identified columns
netPhorceData <- processData(rawMaxQuant = twoConditionsExample,
processedColNames = identifiedCols,
processedIntensity = intensityCols,
minReplication = 3,
minLocalProb = 0.75)
## Side-by-side Plot
plotHistBox(netPhorceData = netPhorceData,
condition = "tot3",
histogram = TRUE,
boxplot = TRUE)
## Boxplot Only
plotHistBox(netPhorceData = netPhorceData,
condition = "Col0",
histogram = FALSE,
boxplot = TRUE)
## Histogram Only
plotHistBox(netPhorceData = netPhorceData,
condition = "tot3",
histogram = TRUE,
boxplot = FALSE)
}