View source: R/Get_and_Filter_Regions.R
| plotRegionTotals | R Documentation |
plotRegionTotals() plots the total number of regions, width, and total
number of CpGs remaining after filtering by different combinations of
covMin and methSD in a line plot and then saves it as a .pdf.
plotRegionTotals(
regionTotals,
nBreaks = 4,
legend.position = c(1.08, 0.897),
save = TRUE,
file = "Region_Totals.pdf",
width = 11,
height = 11,
verbose = TRUE
)
regionTotals |
A |
nBreaks |
A |
legend.position |
A |
save |
A |
file |
A |
width |
A |
height |
A |
verbose |
A |
plotRegionTotals() is designed to be used in combination with
getRegionTotals(). A ggplot object is produced and can be edited
outside of this function if desired.
A ggplot object.
getRegions() to generate the set of regions.
plotRegionStats(), plotSDstats(), and getRegionTotals()
for more help visualizing region characteristics and setting
cutoffs for filtering.
filterRegions() for filtering regions by minimum coverage and
methylation standard deviation.
## Not run:
# Call Regions
regions <- getRegions(bs, file = "Unfiltered_Regions.txt")
plotRegionStats(regions, maxQuantile = 0.99,
file = "Unfiltered_Region_Plots.pdf")
plotSDstats(regions, maxQuantile = 0.99,
file = "Unfiltered_SD_Plots.pdf")
# Examine Region Totals at Different Cutoffs
regionTotals <- getRegionTotals(regions, file = "Region_Totals.txt")
plotRegionTotals(regionTotals, file = "Region_Totals.pdf")
# Filter Regions
regions <- filterRegions(regions, covMin = 10, methSD = 0.05,
file = "Filtered_Regions.txt")
plotRegionStats(regions, maxQuantile = 0.99,
file = "Filtered_Region_Plots.pdf")
plotSDstats(regions, maxQuantile = 0.99,
file = "Filtered_SD_Plots.pdf")
## End(Not run)
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